Author: "Meyer-Lindenberg, Andreas" / Publication Year Range: Last 10 years / Topic: magnetic resonance imaging - Searchworks@Jio Institute Digital Library Search Results

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48 results on '"Meyer-Lindenberg, Andreas"'

1. Age-related brain deviations and aggression.

Author: Holz NE, Floris DL, Llera A, Aggensteiner PM, Kia SM, Wolfers T, Baumeister S, Böttinger B, Glennon JC, Hoekstra PJ, Dietrich A, Saam MC, Schulze UME, Lythgoe DJ, Williams SCR, Santosh P, Rosa-Justicia M, Bargallo N, Castro-Fornieles J, Arango C, Penzol MJ, Walitza S, Meyer-Lindenberg A, Zwiers M, Franke B, Buitelaar J, Naaijen J, Brandeis D, Beckmann C, Banaschewski T, and Marquand AF
Subjects: Humans, Aggression psychology, Emotions, Attention Deficit and Disruptive Behavior Disorders, Brain Mapping, Magnetic Resonance Imaging methods, Brain diagnostic imaging
Abstract: Background: Disruptive behavior disorders (DBD) are heterogeneous at the clinical and the biological level. Therefore, the aims were to dissect the heterogeneous neurodevelopmental deviations of the affective brain circuitry and provide an integration of these differences across modalities., Methods: We combined two novel approaches. First, normative modeling to map deviations from the typical age-related pattern at the level of the individual of (i) activity during emotion matching and (ii) of anatomical images derived from DBD cases ( n = 77) and controls ( n = 52) aged 8-18 years from the EU-funded Aggressotype and MATRICS consortia. Second, linked independent component analysis to integrate subject-specific deviations from both modalities., Results: While cases exhibited on average a higher activity than would be expected for their age during face processing in regions such as the amygdala when compared to controls these positive deviations were widespread at the individual level. A multimodal integration of all functional and anatomical deviations explained 23% of the variance in the clinical DBD phenotype. Most notably, the top marker, encompassing the default mode network (DMN) and subcortical regions such as the amygdala and the striatum, was related to aggression across the whole sample., Conclusions: Overall increased age-related deviations in the amygdala in DBD suggest a maturational delay, which has to be further validated in future studies. Further, the integration of individual deviation patterns from multiple imaging modalities allowed to dissect some of the heterogeneity of DBD and identified the DMN, the striatum and the amygdala as neural signatures that were associated with aggression.
Published: 2023
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2. Early maternal care and amygdala habituation to emotional stimuli in adulthood.

Author: Holz NE, Häge A, Plichta MM, Boecker-Schlier R, Jennen-Steinmetz C, Baumeister S, Meyer-Lindenberg A, Laucht M, Banaschewski T, and Brandeis D
Subjects: Adult, Amygdala, Child, Cohort Studies, Female, Humans, Infant, Maternal Behavior, Habituation, Psychophysiologic, Magnetic Resonance Imaging
Abstract: Evidence suggests that maternal care constitutes a protective factor for psychopathology which may be conditional on the level of family adversity. Given that psychopathology is frequently linked with social deficits and the amygdala with social functioning, we investigated the impact of early maternal care on amygdala function under high vs low familial risk for psychopathology. Amygdala activity and habituation during an emotional face-matching paradigm was analyzed in participants of an epidemiological cohort study followed since birth (n = 172, 25 years). Early mother-infant interaction was assessed during a standardized nursing and play setting at the age of 3 months. Information on familial risk during the offspring's childhood and on the participants' lifetime psychopathology was obtained with diagnostic interviews. An interaction between maternal stimulation and familial risk was found on amygdala habituation but not on activation, with higher maternal stimulation predicting stronger amygdala habituation in the familial risk group only. Furthermore, amygdala habituation correlated inversely with Attention Deficit Hyperactivity Disorder (ADHD) diagnoses. The findings underline the long-term importance of early maternal care on the offspring's socioemotional neurodevelopment and of interventions targeting maternal sensitivity early in life, particularly by increasing maternal interactive behavior in those with familial risk., (© The Author(s) 2021. Published by Oxford University Press.)
Published: 2021
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3. Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis.

Author: Grandjean J, Canella C, Anckaerts C, Ayrancı G, Bougacha S, Bienert T, Buehlmann D, Coletta L, Gallino D, Gass N, Garin CM, Nadkarni NA, Hübner NS, Karatas M, Komaki Y, Kreitz S, Mandino F, Mechling AE, Sato C, Sauer K, Shah D, Strobelt S, Takata N, Wank I, Wu T, Yahata N, Yeow LY, Yee Y, Aoki I, Chakravarty MM, Chang WT, Dhenain M, von Elverfeldt D, Harsan LA, Hess A, Jiang T, Keliris GA, Lerch JP, Meyer-Lindenberg A, Okano H, Rudin M, Sartorius A, Van der Linden A, Verhoye M, Weber-Fahr W, Wenderoth N, Zerbi V, and Gozzi A
Subjects: Animals, Brain diagnostic imaging, Connectome standards, Female, Image Processing, Computer-Assisted standards, Magnetic Resonance Imaging standards, Male, Mice, Mice, Inbred C57BL, Nerve Net diagnostic imaging, Reproducibility of Results, Brain physiology, Connectome methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods, Nerve Net physiology
Abstract: Preclinical applications of resting-state functional magnetic resonance imaging (rsfMRI) offer the possibility to non-invasively probe whole-brain network dynamics and to investigate the determinants of altered network signatures observed in human studies. Mouse rsfMRI has been increasingly adopted by numerous laboratories worldwide. Here we describe a multi-centre comparison of 17 mouse rsfMRI datasets via a common image processing and analysis pipeline. Despite prominent cross-laboratory differences in equipment and imaging procedures, we report the reproducible identification of several large-scale resting-state networks (RSN), including a mouse default-mode network, in the majority of datasets. A combination of factors was associated with enhanced reproducibility in functional connectivity parameter estimation, including animal handling procedures and equipment performance. RSN spatial specificity was enhanced in datasets acquired at higher field strength, with cryoprobes, in ventilated animals, and under medetomidine-isoflurane combination sedation. Our work describes a set of representative RSNs in the mouse brain and highlights key experimental parameters that can critically guide the design and analysis of future rodent rsfMRI investigations., (Copyright © 2019 Elsevier Inc. All rights reserved.)
Published: 2020
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4. MAOA-VNTR genotype affects structural and functional connectivity in distributed brain networks.

Author: Harneit A, Braun U, Geiger LS, Zang Z, Hakobjan M, van Donkelaar MMJ, Schweiger JI, Schwarz K, Gan G, Erk S, Heinz A, Romanczuk-Seiferth N, Witt S, Rietschel M, Walter H, Franke B, Meyer-Lindenberg A, and Tost H
Subjects: Adult, Brain physiology, Female, Frontal Lobe diagnostic imaging, Frontal Lobe physiology, Humans, Male, Nerve Net physiology, Temporal Lobe diagnostic imaging, Temporal Lobe physiology, Young Adult, Brain diagnostic imaging, Genotype, Magnetic Resonance Imaging methods, Minisatellite Repeats genetics, Monoamine Oxidase genetics, Nerve Net diagnostic imaging
Abstract: Previous studies have linked the low expression variant of a variable number of tandem repeat polymorphism in the monoamine oxidase A gene (MAOA-L) to the risk for impulsivity and aggression, brain developmental abnormalities, altered cortico-limbic circuit function, and an exaggerated neural serotonergic tone. However, the neurobiological effects of this variant on human brain network architecture are incompletely understood. We studied healthy individuals and used multimodal neuroimaging (sample size range: 219-284 across modalities) and network-based statistics (NBS) to probe the specificity of MAOA-L-related connectomic alterations to cortical-limbic circuits and the emotion processing domain. We assessed the spatial distribution of affected links across several neuroimaging tasks and data modalities to identify potential alterations in network architecture. Our results revealed a distributed network of node links with a significantly increased connectivity in MAOA-L carriers compared to the carriers of the high expression (H) variant. The hyperconnectivity phenotype primarily consisted of between-lobe ("anisocoupled") network links and showed a pronounced involvement of frontal-temporal connections. Hyperconnectivity was observed across functional magnetic resonance imaging (fMRI) of implicit emotion processing (p FWE = .037), resting-state fMRI (p FWE = .022), and diffusion tensor imaging (p FWE = .044) data, while no effects were seen in fMRI data of another cognitive domain, that is, spatial working memory (p FWE = .540). These observations are in line with prior research on the MAOA-L variant and complement these existing data by novel insights into the specificity and spatial distribution of the neurogenetic effects. Our work highlights the value of multimodal network connectomic approaches for imaging genetics., (© 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.)
Published: 2019
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5. Ventral striatum and amygdala activity as convergence sites for early adversity and conduct disorder.

Author: Holz NE, Boecker-Schlier R, Buchmann AF, Blomeyer D, Jennen-Steinmetz C, Baumeister S, Plichta MM, Cattrell A, Schumann G, Esser G, Schmidt M, Buitelaar J, Meyer-Lindenberg A, Banaschewski T, Brandeis D, and Laucht M
Subjects: Adolescent, Child, Child, Preschool, Conduct Disorder diagnosis, Conduct Disorder psychology, Female, Humans, Longitudinal Studies, Male, Reward, Surveys and Questionnaires, Temperament physiology, Young Adult, Amygdala physiopathology, Conduct Disorder physiopathology, Life Change Events, Magnetic Resonance Imaging, Ventral Striatum physiopathology, Vulnerable Populations
Abstract: Childhood family adversity (CFA) increases the risk for conduct disorder (CD) and has been associated with alterations in regions of affective processing like ventral striatum (VS) and amygdala. However, no study so far has demonstrated neural converging effects of CFA and CD in the same sample. At age 25 years, functional MRI data during two affective tasks, i.e. a reward (N = 171) and a face-matching paradigm (N = 181) and anatomical scans (N = 181) were acquired in right-handed currently healthy participants of an epidemiological study followed since birth. CFA during childhood was determined using a standardized parent interview. Disruptive behaviors and CD diagnoses during childhood and adolescence were obtained by diagnostic interview (2-19 years), temperamental reward dependence was assessed by questionnaire (15 and 19 years).CFA predicted increased CD and amygdala volume. Both exposure to CFA and CD were associated with a decreased VS response during reward anticipation and blunted amygdala activity during face-matching. CD mediated the effect of CFA on brain activity. Temperamental reward dependence was negatively correlated with CFA and CD and positively with VS activity. These findings underline the detrimental effects of CFA on the offspring's affective processing and support the importance of early postnatal intervention programs aiming to reduce childhood adversity factors., (© The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.)
Published: 2017
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6. Specificity, reliability and sensitivity of social brain responses during spontaneous mentalizing.

Author: Moessnang C, Schäfer A, Bilek E, Roux P, Otto K, Baumeister S, Hohmann S, Poustka L, Brandeis D, Banaschewski T, Meyer-Lindenberg A, and Tost H
Subjects: Adult, Brain Mapping methods, Female, Humans, Longitudinal Studies, Male, Motion Perception physiology, Pattern Recognition, Visual physiology, Reproducibility of Results, Sensitivity and Specificity, Young Adult, Brain physiology, Magnetic Resonance Imaging methods, Social Behavior, Theory of Mind physiology
Abstract: The debilitating effects of social dysfunction in many psychiatric disorders prompt the need for systems-level biomarkers of social abilities that can be applied in clinical populations and longitudinal studies. A promising neuroimaging approach is the animated shapes paradigm based on so-called Frith-Happé animations (FHAs) which trigger spontaneous mentalizing with minimal cognitive demands. Here, we presented FHAs during functional magnetic resonance imaging to 46 subjects and examined the specificity and sensitivity of the elicited social brain responses. Test-retest reliability was additionally assessed in 28 subjects within a two-week interval. Specific responses to spontaneous mentalizing were observed in key areas of the social brain with high sensitivity and independently from the variant low-level kinematics of the FHAs. Mentalizing-specific responses were well replicable on the group level, suggesting good-to-excellent cross-sectional reliability [intraclass correlation coefficients (ICCs): 0.40-0.99; dice overlap at P uncorr <0.001: 0.26-1.0]. Longitudinal reliability on the single-subject level was more heterogeneous (ICCs of 0.40-0.79; dice overlap at P uncorr <0.001: 0.05-0.43). Posterior temporal sulcus activation was most reliable, including a robust differentiation between subjects across sessions (72% of voxels with ICC>0.40). These findings encourage the use of FHAs in neuroimaging research across developmental stages and psychiatric conditions, including the identification of biomarkers and pharmacological interventions., (© The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.)
Published: 2016
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7. Altered Functional Subnetwork During Emotional Face Processing: A Potential Intermediate Phenotype for Schizophrenia.

Author: Cao H, Bertolino A, Walter H, Schneider M, Schäfer A, Taurisano P, Blasi G, Haddad L, Grimm O, Otto K, Dixson L, Erk S, Mohnke S, Heinz A, Romanczuk-Seiferth N, Mühleisen TW, Mattheisen M, Witt SH, Cichon S, Noethen M, Rietschel M, Tost H, and Meyer-Lindenberg A
Subjects: Adult, Amygdala diagnostic imaging, Amygdala physiopathology, Brain diagnostic imaging, Case-Control Studies, Discrimination, Psychological physiology, Female, Humans, Limbic System diagnostic imaging, Limbic System physiopathology, Male, Nerve Net diagnostic imaging, Reference Values, Schizophrenia diagnostic imaging, Statistics as Topic, Visual Cortex diagnostic imaging, Visual Cortex physiopathology, Young Adult, Brain physiopathology, Emotions physiology, Facial Recognition physiology, Genetic Predisposition to Disease genetics, Magnetic Resonance Imaging, Nerve Net physiopathology, Phenotype, Schizophrenia genetics, Schizophrenia physiopathology
Abstract: Importance: Although deficits in emotional processing are prominent in schizophrenia, it has been difficult to identify neural mechanisms related to the genetic risk for this highly heritable illness. Prior studies have not found consistent regional activation or connectivity alterations in first-degree relatives compared with healthy controls, suggesting that a more comprehensive search for connectomic biomarkers is warranted., Objectives: To identify a potential systems-level intermediate phenotype linked to emotion processing in schizophrenia and to examine the psychological association, task specificity, test-retest reliability, and clinical validity of the identified phenotype., Design, Setting, and Participations: The study was performed in university research hospitals from June 1, 2008, through December 31, 2013. We examined 58 unaffected first-degree relatives of patients with schizophrenia and 94 healthy controls with an emotional face-matching functional magnetic resonance imaging paradigm. Test-retest reliability was analyzed with an independent sample of 26 healthy participants. A clinical association study was performed in 31 patients with schizophrenia and 45 healthy controls. Data analysis was performed from January 1 to September 30, 2014., Main Outcomes and Measures: Conventional amygdala activity and seeded connectivity measures, graph-based global and local network connectivity measures, Spearman rank correlation, intraclass correlation, and gray matter volumes., Results: Among the 152 volunteers included in the relative-control sample, 58 were unaffected first-degree relatives of patients with schizophrenia (mean [SD] age, 33.29 [12.56]; 38 were women), and 94 were healthy controls without a first-degree relative with mental illness (mean [SD] age, 32.69 [10.09] years; 55 were women). A graph-theoretical connectivity approach identified significantly decreased connectivity in a subnetwork that primarily included the limbic cortex, visual cortex, and subcortex during emotional face processing (cluster-level P corrected for familywise error = .006) in relatives compared with controls. The connectivity of the same subnetwork was significantly decreased in patients with schizophrenia (F = 6.29, P = .01). Furthermore, we found that this subnetwork connectivity measure was negatively correlated with trait anxiety scores (P = .04), test-retest reliable (intraclass correlation coefficient = 0.57), specific to emotional face processing (F = 17.97, P < .001), and independent of gray matter volumes of the identified brain areas (F = 1.84, P = .18). Replicating previous results, no significant group differences were found in face-related amygdala activation and amygdala-anterior cingulate cortex connectivity (P corrected for familywise error =.37 and .11, respectively)., Conclusions and Relevance: Our results indicate that altered connectivity in a visual-limbic subnetwork during emotional face processing may be a functional connectomic intermediate phenotype for schizophrenia. The phenotype is reliable, task specific, related to trait anxiety, and associated with manifest illness. These data encourage the further investigation of this phenotype in clinical and pharmacologic studies.
Published: 2016
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8. Magnetic resonance imaging and the prediction of outcome in first-episode schizophrenia: a review of current evidence and directions for future research.

Author: Dazzan P, Arango C, Fleischacker W, Galderisi S, Glenthøj B, Leucht S, Meyer-Lindenberg A, Kahn R, Rujescu D, Sommer I, Winter I, and McGuire P
Subjects: Humans, Brain pathology, Magnetic Resonance Imaging methods, Outcome Assessment, Health Care, Schizophrenia pathology, Schizophrenia therapy
Abstract: Unlabelled: Magnetic Resonance Imaging (MRI) measures are promising outcome markers for schizophrenia, since regional frontal and temporal grey matter volumes reductions, and enlargement of the ventricles, have been associated with outcome in this disorder. However, a number of methodological issues have limited the potential clinical utility of these findings. This article reviewed studies that examined brain structure at illness onset as a predictor of outcome, discusses the limitations of the findings, and highlights the challenges that would need to be addressed if structural data are to inform the management of an individual patient., Methods: Using a set of a priori criteria, we systematically searched Medline and EMBASE databases for articles evaluating brain structure at the time of the first psychotic episode and assessed response to treatment, symptomatic outcome, or functional outcome at any point in the first 12 months of illness., Results: The 11 studies identified suggest that alterations in medial temporal and prefrontal cortical areas, and in the networks that connect them with subcortical structures, are promising neuroanatomical markers of poor symptomatic and functional outcomes., Conclusion: Neuroimaging data, possibly in combination with other biomarkers of disease, could help stratifying patients with psychoses to generate patient clusters clinically meaningful, and useful to detect true therapeutic effects in clinical trials. Optimization of Treatment and Management of Schizophrenia in Europe (OPTiMiSE), a large multicenter study funded by the FP7 European Commission, could generate these much-needed findings., (© The Author 2015. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Published: 2015
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9. Information flow between interacting human brains: Identification, validation, and relationship to social expertise.

Author: Bilek E, Ruf M, Schäfer A, Akdeniz C, Calhoun VD, Schmahl C, Demanuele C, Tost H, Kirsch P, and Meyer-Lindenberg A
Subjects: Female, Humans, Male, Parietal Lobe physiology, Principal Component Analysis, Reproducibility of Results, Temporal Lobe physiology, Young Adult, Brain physiology, Interpersonal Relations, Magnetic Resonance Imaging
Abstract: Social interactions are fundamental for human behavior, but the quantification of their neural underpinnings remains challenging. Here, we used hyperscanning functional MRI (fMRI) to study information flow between brains of human dyads during real-time social interaction in a joint attention paradigm. In a hardware setup enabling immersive audiovisual interaction of subjects in linked fMRI scanners, we characterize cross-brain connectivity components that are unique to interacting individuals, identifying information flow between the sender's and receiver's temporoparietal junction. We replicate these findings in an independent sample and validate our methods by demonstrating that cross-brain connectivity relates to a key real-world measure of social behavior. Together, our findings support a central role of human-specific cortical areas in the brain dynamics of dyadic interactions and provide an approach for the noninvasive examination of the neural basis of healthy and disturbed human social behavior with minimal a priori assumptions.
Published: 2015
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10. Role of FKBP5 in emotion processing: results on amygdala activity, connectivity and volume.

Author: Holz NE, Buchmann AF, Boecker R, Blomeyer D, Baumeister S, Wolf I, Rietschel M, Witt SH, Plichta MM, Meyer-Lindenberg A, Banaschewski T, Brandeis D, and Laucht M
Subjects: Adult, Aging psychology, Child, Child, Preschool, Depressive Disorder physiopathology, Environment, Family psychology, Female, Genotype, Humans, Infant, Male, Polymorphism, Single Nucleotide, Prefrontal Cortex physiopathology, Prospective Studies, Psychiatric Status Rating Scales, Retrospective Studies, Surveys and Questionnaires, Young Adult, Amygdala physiopathology, Depressive Disorder genetics, Depressive Disorder psychology, Emotions, Magnetic Resonance Imaging, Tacrolimus Binding Proteins genetics
Abstract: Accumulating evidence suggests a role of FKBP5, a co-chaperone regulating the glucocorticoid receptor sensitivity, in the etiology of depression and anxiety disorders. Based on recent findings of altered amygdala activity following childhood adversity, the present study aimed at clarifying the impact of genetic variation in FKBP5 on threat-related neural activity and coupling as well as morphometric alterations in stress-sensitive brain systems. Functional magnetic resonance imaging during an emotional face-matching task was performed in 153 healthy young adults (66 males) from a high-risk community sample followed since birth. Voxel-based morphometry was applied to study structural alterations and DNA was genotyped for FKBP5 rs1360780. Childhood adversity was measured using retrospective self-report (Childhood Trauma Questionnaire) and by a standardized parent interview assessing childhood family adversity. Depression was assessed by the Beck Depression Inventory. There was a main effect of FKBP5 on the left amygdala, with T homozygotes showing the highest activity, largest volume and increased coupling with the left hippocampus and the orbitofrontal cortex (OFC). Moreover, amygdala-OFC coupling proved to be associated with depression in this genotype. In addition, our results support previous evidence of a gene-environment interaction on right amygdala activity with respect to retrospective assessment of childhood adversity, but clarify that this does not generalize to the prospective assessment. These findings indicated that activity in T homozygotes increased with the level of adversity, whereas the opposite pattern emerged in C homozygotes, with CT individuals being intermediate. The present results point to a functional involvement of FKBP5 in intermediate phenotypes associated with emotional processing, suggesting a possible mechanism for this gene in conferring susceptibility to stress-related disorders.
Published: 2015
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11. Women are more strongly affected by dizziness in static magnetic fields of magnetic resonance imaging scanners.

Author: Heinrich A, Szostek A, Meyer P, Reinhard I, Gilles M, Paslakis G, Rauschenberg J, Gröbner J, Semmler W, Deuschle M, Meyer-Lindenberg A, Flor H, and Nees F
Subjects: Adolescent, Adult, Aging, Attention, Blood Chemical Analysis, Catecholamines blood, Female, Humans, Hydrocortisone blood, Male, Somatoform Disorders, Surveys and Questionnaires, Young Adult, Dizziness etiology, Dizziness physiopathology, Magnetic Fields adverse effects, Magnetic Resonance Imaging adverse effects, Sex Characteristics
Abstract: Increasing field strengths in MRI necessitate the examination of potential side effects. Previously reported results have been contradictory, possibly caused by imbalanced samples. We aimed to examine whether special groups of people are more prone to develop side effects that might have led to contradictory results in previous studies. We examined the occurrence of sensory side effects in static magnetic fields of MRI scanners of 1.5, 3, and 7 T and a mock scanner in 41 healthy participants. The contribution of field strength, sex, age, and attention to bodily processes, and stress hormone levels to the sensation of dizziness was examined in separate univariate analyses and in a joint analysis that included all variables. Field strength and sex were significant factors in the joint analysis (P=0.001), with women being more strongly affected than men by dizziness in higher static magnetic fields. This effect was not mediated by the other variables such as attention to bodily symptoms or stress hormones. Further research needs to elucidate the underlying factors of increased dizziness in women in static magnetic fields in MRI. We hypothesize that imbalanced samples of earlier studies might be one reason for previous contradictory results on the side effects of static magnetic fields.
Published: 2014
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12. Sequential inhibitory control processes assessed through simultaneous EEG-fMRI.

Author: Baumeister S, Hohmann S, Wolf I, Plichta MM, Rechtsteiner S, Zangl M, Ruf M, Holz N, Boecker R, Meyer-Lindenberg A, Holtmann M, Laucht M, Banaschewski T, and Brandeis D
Subjects: Adult, Attention physiology, Brain Mapping methods, Female, Humans, Male, Multimodal Imaging methods, Young Adult, Cerebral Cortex physiology, Electroencephalography methods, Feedback, Physiological physiology, Inhibition, Psychological, Magnetic Resonance Imaging methods, Movement physiology, Neural Inhibition physiology
Abstract: Inhibitory response control has been extensively investigated in both electrophysiological (ERP) and hemodynamic (fMRI) studies. However, very few multimodal results address the coupling of these inhibition markers. In fMRI, response inhibition has been most consistently linked to activation of the anterior insula and inferior frontal cortex (IFC), often also the anterior cingulate cortex (ACC). ERP work has established increased N2 and P3 amplitudes during NoGo compared to Go conditions in most studies. Previous simultaneous EEG-fMRI imaging reported association of the N2/P3 complex with activation of areas like the anterior midcingulate cortex (aMCC) and anterior insula. In this study we investigated inhibitory control in 23 healthy young adults (mean age=24.7, n=17 for EEG during fMRI) using a combined Flanker/NoGo task during simultaneous EEG and fMRI recording. Separate fMRI and ERP analysis yielded higher activation in the anterior insula, IFG and ACC as well as increased N2 and P3 amplitudes during NoGo trials in accordance with the literature. Combined analysis modelling sequential N2 and P3 effects through joint parametric modulation revealed correlation of higher N2 amplitude with deactivation in parts of the default mode network (DMN) and the cingulate motor area (CMA) as well as correlation of higher central P3 amplitude with activation of the left anterior insula, IFG and posterior cingulate. The EEG-fMRI results resolve the localizations of these sequential activations. They suggest a general role for allocation of attentional resources and motor inhibition for N2 and link memory recollection and internal reflection to P3 amplitude, in addition to previously described response inhibition as reflected by the anterior insula., (Copyright © 2014 Elsevier Inc. All rights reserved.)
Published: 2014
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13. Intelligence, educational attainment, and brain structure in those at familial high‐risk for schizophrenia or bipolar disorder

Author: Zwarte, Sonja MC, Brouwer, Rachel M, Agartz, Ingrid, Alda, Martin, Alonso‐Lana, Silvia, Bearden, Carrie E, Bertolino, Alessandro, Bonvino, Aurora, Bramon, Elvira, Buimer, Elizabeth EL, Cahn, Wiepke, Canales‐Rodríguez, Erick J, Cannon, Dara M, Cannon, Tyrone D, Caseras, Xavier, Castro‐Fornieles, Josefina, Chen, Qiang, Chung, Yoonho, De la Serna, Elena, Bonnin, Caterina Mar, Demro, Caroline, Di Giorgio, Annabella, Doucet, Gaelle E, Eker, Mehmet Cagdas, Erk, Susanne, Fatjó‐Vilas, Mar, Fears, Scott C, Foley, Sonya F, Frangou, Sophia, Fullerton, Janice M, Glahn, David C, Goghari, Vina M, Goikolea, Jose M, Goldman, Aaron L, Gonul, Ali Saffet, Gruber, Oliver, Hajek, Tomas, Hawkins, Emma L, Heinz, Andreas, Ongun, Ceren Hidiroglu, Hillegers, Manon HJ, Houenou, Josselin, Pol, Hilleke E Hulshoff, Hultman, Christina M, Ingvar, Martin, Johansson, Viktoria, Jönsson, Erik G, Kane, Fergus, Kempton, Matthew J, Koenis, Marinka MG, Kopecek, Miloslav, Krämer, Bernd, Lawrie, Stephen M, Lenroot, Rhoshel K, Marcelis, Machteld, Mattay, Venkata S, McDonald, Colm, Meyer‐Lindenberg, Andreas, Michielse, Stijn, Mitchell, Philip B, Moreno, Dolores, Murray, Robin M, Mwangi, Benson, Nabulsi, Leila, Newport, Jason, Olman, Cheryl A, Os, Jim, Overs, Bronwyn J, Ozerdem, Aysegul, Pergola, Giulio, Picchioni, Marco M, Piguet, Camille, Pomarol‐Clotet, Edith, Radua, Joaquim, Ramsay, Ian S, Richter, Anja, Roberts, Gloria, Salvador, Raymond, Aydogan, Aybala Saricicek, Sarró, Salvador, Schofield, Peter R, Simsek, Esma M, Simsek, Fatma, Soares, Jair C, Sponheim, Scott R, Sugranyes, Gisela, Toulopoulou, Timothea, Tronchin, Giulia, Vieta, Eduard, Walter, Henrik, Weinberger, Daniel R, Whalley, Heather C, Wu, Mon‐Ju, Yalin, Nefize, Andreassen, Ole A, Ching, Christopher RK, Thomopoulos, Sophia I, Erp, Theo GM, Jahanshad, Neda, and Thompson, Paul M
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Bipolar Disorder, Clinical Research, Serious Mental Illness, Neurosciences, Schizophrenia, Mental Health, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Cognitive Dysfunction, Educational Status, Family, Genetic Predisposition to Disease, Humans, Intelligence, Magnetic Resonance Imaging, Neuroimaging, bipolar disorder, education, intelligence, neuroimaging, relatives, schizophrenia, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract: First-degree relatives of patients diagnosed with schizophrenia (SZ-FDRs) show similar patterns of brain abnormalities and cognitive alterations to patients, albeit with smaller effect sizes. First-degree relatives of patients diagnosed with bipolar disorder (BD-FDRs) show divergent patterns; on average, intracranial volume is larger compared to controls, and findings on cognitive alterations in BD-FDRs are inconsistent. Here, we performed a meta-analysis of global and regional brain measures (cortical and subcortical), current IQ, and educational attainment in 5,795 individuals (1,103 SZ-FDRs, 867 BD-FDRs, 2,190 controls, 942 schizophrenia patients, 693 bipolar patients) from 36 schizophrenia and/or bipolar disorder family cohorts, with standardized methods. Compared to controls, SZ-FDRs showed a pattern of widespread thinner cortex, while BD-FDRs had widespread larger cortical surface area. IQ was lower in SZ-FDRs (d = -0.42, p = 3 × 10-5 ), with weak evidence of IQ reductions among BD-FDRs (d = -0.23, p = .045). Both relative groups had similar educational attainment compared to controls. When adjusting for IQ or educational attainment, the group-effects on brain measures changed, albeit modestly. Changes were in the expected direction, with less pronounced brain abnormalities in SZ-FDRs and more pronounced effects in BD-FDRs. To conclude, SZ-FDRs and BD-FDRs show a differential pattern of structural brain abnormalities. In contrast, both had lower IQ scores and similar school achievements compared to controls. Given that brain differences between SZ-FDRs and BD-FDRs remain after adjusting for IQ or educational attainment, we suggest that differential brain developmental processes underlying predisposition for schizophrenia or bipolar disorder are likely independent of general cognitive impairment.
Published: 2022

14. Common brain disorders are associated with heritable patterns of apparent aging of the brain

Author: Kaufmann, Tobias, van der Meer, Dennis, Doan, Nhat Trung, Schwarz, Emanuel, Lund, Martina J, Agartz, Ingrid, Alnæs, Dag, Barch, Deanna M, Baur-Streubel, Ramona, Bertolino, Alessandro, Bettella, Francesco, Beyer, Mona K, Bøen, Erlend, Borgwardt, Stefan, Brandt, Christine L, Buitelaar, Jan, Celius, Elisabeth G, Cervenka, Simon, Conzelmann, Annette, Córdova-Palomera, Aldo, Dale, Anders M, de Quervain, Dominique JF, Di Carlo, Pasquale, Djurovic, Srdjan, Dørum, Erlend S, Eisenacher, Sarah, Elvsåshagen, Torbjørn, Espeseth, Thomas, Fatouros-Bergman, Helena, Flyckt, Lena, Franke, Barbara, Frei, Oleksandr, Haatveit, Beathe, Håberg, Asta K, Harbo, Hanne F, Hartman, Catharina A, Heslenfeld, Dirk, Hoekstra, Pieter J, Høgestøl, Einar A, Jernigan, Terry L, Jonassen, Rune, Jönsson, Erik G, Kirsch, Peter, Kłoszewska, Iwona, Kolskår, Knut K, Landrø, Nils Inge, Le Hellard, Stephanie, Lesch, Klaus-Peter, Lovestone, Simon, Lundervold, Arvid, Lundervold, Astri J, Maglanoc, Luigi A, Malt, Ulrik F, Mecocci, Patrizia, Melle, Ingrid, Meyer-Lindenberg, Andreas, Moberget, Torgeir, Norbom, Linn B, Nordvik, Jan Egil, Nyberg, Lars, Oosterlaan, Jaap, Papalino, Marco, Papassotiropoulos, Andreas, Pauli, Paul, Pergola, Giulio, Persson, Karin, Richard, Geneviève, Rokicki, Jaroslav, Sanders, Anne-Marthe, Selbæk, Geir, Shadrin, Alexey A, Smeland, Olav B, Soininen, Hilkka, Sowa, Piotr, Steen, Vidar M, Tsolaki, Magda, Ulrichsen, Kristine M, Vellas, Bruno, Wang, Lei, Westman, Eric, Ziegler, Georg C, Zink, Mathias, Andreassen, Ole A, and Westlye, Lars T
Subjects: Biological Psychology, Psychology, Rare Diseases, Mental Health, Neurosciences, Brain Disorders, Biomedical Imaging, Aging, Aetiology, 2.3 Psychological, social and economic factors, 1.1 Normal biological development and functioning, Underpinning research, Mental health, Neurological, Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Brain, Brain Diseases, Child, Child, Preschool, Female, Genome-Wide Association Study, Humans, Infant, Magnetic Resonance Imaging, Male, Mental Disorders, Middle Aged, Neuropsychological Tests, Schizophrenia, Sex Characteristics, Young Adult, Karolinska Schizophrenia Project, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3-96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders.
Published: 2019

15. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept

Author: Franke, Barbara, Stein, Jason L, Ripke, Stephan, Anttila, Verneri, Hibar, Derrek P, van Hulzen, Kimm JE, Arias-Vasquez, Alejandro, Smoller, Jordan W, Nichols, Thomas E, Neale, Michael C, McIntosh, Andrew M, Lee, Phil, McMahon, Francis J, Meyer-Lindenberg, Andreas, Mattheisen, Manuel, Andreassen, Ole A, Gruber, Oliver, Sachdev, Perminder S, Roiz-Santiañez, Roberto, Saykin, Andrew J, Ehrlich, Stefan, Mather, Karen A, Turner, Jessica A, Schwarz, Emanuel, Thalamuthu, Anbupalam, Yao, Yin, Ho, Yvonne YW, Martin, Nicholas G, Wright, Margaret J, O'Donovan, Michael C, Thompson, Paul M, Neale, Benjamin M, Medland, Sarah E, and Sullivan, Patrick F
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Schizophrenia, Neurosciences, Genetics, Serious Mental Illness, Mental Health, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Brain, Endophenotypes, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Magnetic Resonance Imaging, Neuroimaging, Organ Size, Polymorphism, Single Nucleotide, Schizophrenia Working Group of the Psychiatric Genomics Consortium, ENIGMA Consortium, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.
Published: 2016

16. Processing of social and monetary rewards in autism spectrum disorders

Author: Baumeister, Sarah, Moessnang, Carolin, Bast, Nico, Hohmann, Sarah, Aggensteiner, Pascal, Kaiser, Anna, Tillmann, Julian, Goyard, David, Charman, Tony, Ambrosino, Sara, Baron-Cohen, Simon, Beckmann, Christian, Bölte, Sven, Bourgeron, Thomas, Rausch, Annika, Crawley, Daisy, Dell'Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Floris, Dorothea L, Frouin, Vincent, Hayward, Hannah, Holt, Rosemary, Johnson, Mark H, Jones, Emily JH, Lai, Meng-Chuan, Lombardo, Michael V, Mason, Luke, Oakley, Bethany, Oldehinkel, Marianne, Persico, Antonio M, San José Cáceres, Antonia, Wolfers, Thomas, Loth, Eva, Murphy, Declan GM, Buitelaar, Jan K, Tost, Heike, Meyer-Lindenberg, Andreas, Banaschewski, Tobias, Brandeis, Daniel, EU-AIMS LEAP Group, Baumeister, Sarah [0000-0001-9005-0084], Aggensteiner, Pascal [0000-0002-1048-9044], Charman, Tony [0000-0003-1993-6549], Banaschewski, Tobias [0000-0003-4595-1144], and Apollo - University of Cambridge Repository
Subjects: Brain Mapping, Reward, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder, fMRI, multisite, Humans, Brain, autism traits, Autistic Disorder, reward processing, ADHD symptoms, Magnetic Resonance Imaging
Abstract: BACKGROUND: Reward processing has been proposed to underpin the atypical social feature of autism spectrum disorder (ASD). However, previous neuroimaging studies have yielded inconsistent results regarding the specificity of atypicalities for social reward processing in ASD. AIMS: Utilising a large sample, we aimed to assess reward processing in response to reward type (social, monetary) and reward phase (anticipation, delivery) in ASD. METHOD: Functional magnetic resonance imaging during social and monetary reward anticipation and delivery was performed in 212 individuals with ASD (7.6-30.6 years of age) and 181 typically developing participants (7.6-30.8 years of age). RESULTS: Across social and monetary reward anticipation, whole-brain analyses showed hypoactivation of the right ventral striatum in participants with ASD compared with typically developing participants. Further, region of interest analysis across both reward types yielded ASD-related hypoactivation in both the left and right ventral striatum. Across delivery of social and monetary reward, hyperactivation of the ventral striatum in individuals with ASD did not survive correction for multiple comparisons. Dimensional analyses of autism and attention-deficit hyperactivity disorder (ADHD) scores were not significant. In categorical analyses, post hoc comparisons showed that ASD effects were most pronounced in participants with ASD without co-occurring ADHD. CONCLUSIONS: Our results do not support current theories linking atypical social interaction in ASD to specific alterations in social reward processing. Instead, they point towards a generalised hypoactivity of ventral striatum in ASD during anticipation of both social and monetary rewards. We suggest this indicates attenuated reward seeking in ASD independent of social content and that elevated ADHD symptoms may attenuate altered reward seeking in ASD.
Published: 2023
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17. No robust evidence for an interaction between early-life adversity and protective factors on global and regional brain volumes

Author: Cortes Hidalgo, Andrea P, Tiemeier, Henning, Metcalf, Stephen A, Monninger, Maximilian, Meyer-Lindenberg, Andreas, Aggensteiner, Pascal-M, Bakermans-Kranenburg, Marian J, White, Tonya, Banaschewski, Tobias, Van IJzendoorn, Marinus H, Holz, Nathalie E, Child and Adolescent Psychiatry / Psychology, Epidemiology, Clinical Child and Family Studies, Educational and Family Studies, Metcalf, Stephen A [0000-0001-7000-2966], and Apollo - University of Cambridge Repository
Subjects: Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Resilience, Cognitive Neuroscience, 220 Statistical Imaging Neuroscience, Brain, Protective Factors, Adversity, All institutes and research themes of the Radboud University Medical Center, Magnetic resonance imaging, SDG 3 - Good Health and Well-being, Adverse Childhood Experiences, SDG 1 - No Poverty, Humans, Gray Matter, Child, Brain morphology
Abstract: Childhood adversity is associated with brain morphology and poor psychological outcomes, and evidence of protective factors counteracting childhood adversity effects on neurobiology is scarce. We examined the interplay of childhood adversity with protective factors in relation to brain morphology in two independent longitudinal cohorts, the Generation R Study (N = 3008) and the Mannheim Study of Children at Risk (MARS) (N = 179). Cumulative exposure to 12 adverse events was assessed across childhood until age 9 years in Generation R and 11 years in MARS. Protective factors (temperament, cognition, self-esteem, maternal sensitivity, friendship quality) were assessed at various time-points during childhood. Global brain volumes and volumes of amygdala, hippocampus, and the anterior cingulate, medial orbitofrontal and rostral middle frontal cortices were assessed with anatomical scans at 10 years in Generation R and at 25 years in MARS. Childhood adversity was related to smaller cortical grey matter, cerebral white matter, and cerebellar volumes in children. Also, no buffering effects of protective factors on the association between adversity and the brain outcomes survived multiple testing correction. We found no robust evidence for an interaction between protective factors and childhood adversity on broad brain structural measures. Small interaction effects observed in one cohort only warrant further investigation.
Published: 2022

18. Effective connectivity during face processing in major depression – distinguishing markers of pathology, risk, and resilience.

Author: Sacu, Seda, Wackerhagen, Carolin, Erk, Susanne, Romanczuk-Seiferth, Nina, Schwarz, Kristina, Schweiger, Janina I., Tost, Heike, Meyer-Lindenberg, Andreas, Heinz, Andreas, Razi, Adeel, and Walter, Henrik
Subjects: MENTAL depression risk factors, BIOMARKERS, PREFRONTAL cortex, TEMPORAL lobe, FUNCTIONAL connectivity, FACE perception, MAGNETIC resonance imaging, RISK assessment, COMPARATIVE studies, MENTAL depression, RESEARCH funding, EMOTIONS, AMYGDALOID body, PSYCHOLOGICAL resilience, CAUSAL models
Abstract: Background: Aberrant brain connectivity during emotional processing, especially within the fronto-limbic pathway, is one of the hallmarks of major depressive disorder (MDD). However, the methodological heterogeneity of previous studies made it difficult to determine the functional and etiological implications of specific alterations in brain connectivity. We previously reported alterations in psychophysiological interaction measures during emotional face processing, distinguishing depressive pathology from at-risk/resilient and healthy states. Here, we extended these findings by effective connectivity analyses in the same sample to establish a refined neural model of emotion processing in depression. Methods: Thirty-seven patients with MDD, 45 first-degree relatives of patients with MDD and 97 healthy controls performed a face-matching task during functional magnetic resonance imaging. We used dynamic causal modeling to estimate task-dependent effective connectivity at the subject level. Parametric empirical Bayes was performed to quantify group differences in effective connectivity. Results: MDD patients showed decreased effective connectivity from the left amygdala and left lateral prefrontal cortex to the fusiform gyrus compared to relatives and controls, whereas patients and relatives showed decreased connectivity from the right orbitofrontal cortex to the left insula and from the left orbitofrontal cortex to the right fusiform gyrus compared to controls. Relatives showed increased connectivity from the anterior cingulate cortex to the left dorsolateral prefrontal cortex compared to patients and controls. Conclusions: Our results suggest that the depressive state alters top-down control of higher visual regions during face processing. Alterations in connectivity within the cognitive control network present potential risk or resilience mechanisms. [ABSTRACT FROM AUTHOR]
Published: 2023
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19. Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis

Author: Garcés, Pilar, Baumeister, Sarah, Mason, Luke, Chatham, Christopher, Holiga, Stefan, Dukart, Juergen, Jones, Emily, Banaschewski, Tobias, Baron-Cohen, Simon, Bölte, Sven, Buitelaar, Jan, Durston, Sarah, Oranje, Bob, Persico, Antonio, Beckmann, Christian, Bougeron, Thomas, Dell’acqua, Flavio, Ecker, Christine, Moessnang, Carolin, Charman, Tony, Tillmann, Julian, Murphy, Declan, Johnson, Mark, Loth, Eva, Brandeis, Daniel, Hipp, Joerg, Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brogna, Claudia, de Bruijn, Yvette, Chakrabarti, Bhismadev, Cornelissen, Ineke, Crawley, Daisy, Dumas, Guillaume, Faulkner, Jessica, Frouin, Vincent, Goyard, David, Ham, Lindsay, Hayward, Hannah, Holt, Rosemary, Kundu, Prantik, Lai, Meng-Chuan, Ardhuy, Xavier Liogier D’, Lombardo, Michael, Lythgoe, David, Mandl, René, Marquand, Andre, Mennes, Maarten, Meyer-Lindenberg, Andreas, Mueller, Nico, Oakley, Bethany, O’dwyer, Laurence, Oldehinkel, Marianne, Pandina, Gahan, Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, Cáceres, Antonia San José, Simonoff, Emily, Spooren, Will, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve, Wooldridge, Caroline, Zwiers, Marcel, Leap Group, The Eu-Aims, Garcés, Pilar [0000-0003-4989-0123], Apollo - University of Cambridge Repository, Roche Innovation Center [Basel, Switzerland], Heidelberg University, University Hospital Mannheim | Universitätsmedizin Mannheim, University of London [London], Institute of Neuroscience and Medicine, Brain and Behaviour [Jülich, Germany] (INM-7), Jülich Research Centre, Autism Research Centre [Cambridge, Royaume-Uni], University of Cambridge [UK] (CAM), Centre for Psychiatry Research [Stockholm], Karolinska Institutet [Stockholm], Curtin University [Perth], Planning and Transport Research Centre (PATREC), Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], University Medical Center [Utrecht], Università degli Studi di Messina = University of Messina (UniMe), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), King‘s College London, Goethe-University Frankfurt am Main, Central Institute of Mental Health [Mannheim], This work was supported by EU-AIMS (European Autism Interventions), which receives support from the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115300, the resources of which are composed of financial contributions from the European Union’s Seventh Framework Programme (grant FP7/2007–2013), from the European Federation of Pharmaceutical Industries and Associations companies’ in-kind contributions and from Autism Speaks. AIMS-2-TRIALS is funded by the Innovative Medicines Initiative 2 Joint Undertaking (IMI 2 JU) under grant agreement no. 777394. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program, EFPIA, Autism Speaks, Autistica, and SFARI. PG was supported by the Roche Postdoctoral Fellowship (RPF) program., European Project: 115300,EC:FP7:SP1-JTI,IMI-JU-03-2010,EU-AIMS(2012), European Project: 777394,H2020-JTI-IMI2-2016-10-two-stage,AIMS-2-TRIALS(2018), and University of Zurich
Subjects: Adult, Adolescent, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Autism spectrum disorder, EEG, Resting state, Power spectrum, Functional connectivity, 610 Medicine & health, 1309 Developmental Biology, 2806 Developmental Neuroscience, 2738 Psychiatry and Mental Health, Developmental Neuroscience, 130 000 Cognitive Neurology & Memory, 1312 Molecular Biology, Humans, ddc:610, 10064 Neuroscience Center Zurich, Autistic Disorder, Child, Molecular Biology, Brain Mapping, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Research, 220 Statistical Imaging Neuroscience, Brain, Reproducibility of Results, Electroencephalography, 10058 Department of Child and Adolescent Psychiatry, Magnetic Resonance Imaging, Psychiatry and Mental health, Cross-Sectional Studies, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Developmental Biology
Abstract: Background Understanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed. Methods We quantified resting state EEG alpha peak metrics, power spectrum (PS, 2–32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n = 212 ASD, n = 199 neurotypicals [NT], all with IQ > 75). We performed analyses in source-space using individual head models derived from the participants’ MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%–30% split). Results In the training dataset, we found an interaction between age and group for the reactivity to eye opening (p = .042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52–0.62, specificity 0.59–0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. Limitations The statistical power to detect weak effects—of the magnitude of those found in the training dataset—in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset’s effects. Conclusions This suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects., Molecular Autism, 13
Published: 2022

20. RETRACTED: Identification of gene ontologies linked to prefrontal—hippocampal functional coupling in the human brain

Author: Dixson, Luanna, Walter, Henrik, Schneider, Michael, Erk, Susanne, Schäfer, Axel, Haddad, Leila, Grimm, Oliver, Mattheisen, Manuel, Nöthen, Markus M., Cichon, Sven, Witt, Stephanie H., Rietschel, Marcella, Mohnke, Sebastian, Seiferth, Nina, Heinz, Andreas, Tost, Heike, and Meyer-Lindenberg, Andreas
Published: 2014

21. Brain structural correlates of upward social mobility in ethnic minority individuals.

Author: Schweiger, Janina I., Capraz, Necip, Akdeniz, Ceren, Braun, Urs, Ebalu, Tracie, Moessnang, Carolin, Berhe, Oksana, Zang, Zhenxiang, Schwarz, Emanuel, Bilek, Edda, Meyer-Lindenberg, Andreas, and Tost, Heike
Subjects: SOCIAL mobility, MINORITIES, SOCIAL marginality, SOCIAL status, MAGNETIC resonance imaging, MINORITY stress, GRAY matter (Nerve tissue), JOB stress
Abstract: Purpose: Perigenual anterior cingulate cortex (pACC) is a neural convergence site for social stress-related risk factors for mental health, including ethnic minority status. Current social status, a strong predictor of mental and somatic health, has been related to gray matter volume in this region, but the effects of social mobility over the lifespan are unknown and may differ in minorities. Recent studies suggest a diminished health return of upward social mobility for ethnic minority individuals, potentially due to sustained stress-associated experiences and subsequent activation of the neural stress response system. Methods: To address this issue, we studied an ethnic minority sample with strong upward social mobility. In a cross-sectional design, we examined 64 young adult native German and 76 ethnic minority individuals with comparable sociodemographic attributes using whole-brain structural magnetic resonance imaging. Results: Results showed a significant group-dependent interaction between perceived upward social mobility and pACC gray matter volume, with a significant negative association in the ethnic minority individuals. Post-hoc analysis showed a significant mediation of the relationship between perceived upward social mobility and pACC volume by perceived chronic stress, a variable that was significantly correlated with perceived discrimination in our ethnic minority group. Conclusion: Our findings extend prior work by pointing to a biological signature of the "allostatic costs" of socioeconomic attainment in socially disadvantaged upwardly mobile individuals in a key neural node implicated in the regulation of stress and negative affect. [ABSTRACT FROM AUTHOR]
Published: 2022
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22. Schizophrenia as a categorical diagnosis: A view from the neural risk architecture.

Author: Meyer-Lindenberg, Andreas and Hirjak, Dusan
Subjects: *SCHIZOPHRENIA, *DIAGNOSIS, *FUNCTIONAL magnetic resonance imaging, *MAGNETIC resonance imaging, *DIAGNOSIS of schizophrenia, *BRAIN, *RESEARCH, *RESEARCH methodology, *EVALUATION research, *COMPARATIVE studies
Published: 2022
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23. The genetic architecture of the human cerebral cortex

Author: Grasby, Katrina L, Jahanshad, Neda, Shatokhina, Natalia, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Zsembik, Leo C P, Pitcher, Toni L, Pütz, Benno, Quidé, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Reay, William R, Redlich, Ronny, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Thomopoulos, Sophia I, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Zhu, Alyssa H, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Tansey, Katherine E, Teumer, Alexander, Thalamuthu, Anbupalam, Strike, Lachlan T, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, Agartz, Ingrid, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Alhusaini, Saud, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Wu, Jing Qin, Yasuda, Clarissa L, Zaremba, Dario, Zhang, Zuo, Zwiers, Marcel P, Artiges, Eric, Almeida, Marcio A A, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dennis, Michelle F, Alnæs, Dag, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Amlien, Inge K, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A, Kolskår, Knut, Painter, Jodie N, Andersson, Micael, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Matthews, Sarah, Mayoral Van Son, Jaqueline, McEwen, Sarah C, Ard, Tyler, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Opel, Nils, Martinot, Marie-Laure Paillère, Pike, G Bruce, Armstrong, Nicola J, Preda, Adrian, Quinlan, Erin B, Rasser, Paul E, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Tooney, Paul A, Torres, Fábio R, Veltman, Dick J, Voyvodic, James T, Ashley-Koch, Allison, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H H, Bis, Joshua C, Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Atkins, Joshua R, Ikram, M Arfan, Launer, Lenore, Longstreth, W. T., Lopez, Oscar L, Mazoyer, Bernard, Mosley, Thomas H, Roshchupkin, Gennady V, Satizabal, Claudia L, Schmidt, Reinhold, Seshadri, Sudha, Bernard, Manon, Yang, Qiong, Initiative, Alzheimer’s Disease Neuroimaging, Consortium, CHARGE, Consortium, EPIGEN, Consortium, IMAGEN, Consortium, SYS, Initiative, Parkinson’s Progression Markers, Alvim, Marina K M, Ames, David, Anderson, Tim J, Brouwer, Rachel M, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bastin, Mark E, Baune, Bernhard T, Beckham, Jean C, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brunner, Han G, Buckner, Randy L, Buimer, Elizabeth E L, Buitelaar, Jan K, Bustillo, Juan R, Cahn, Wiepke, Cairns, Murray J, Calhoun, Vince, Carr, Vaughan J, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L, Cendes, Fernando, Bülow, Robin, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dannlowski, Udo, de Geus, Eco J C, Deary, Ian J, Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane, Donohoe, Gary, Bürger, 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Rietschel, Marcella, Couvy-Duchesne, Baptiste, Roffman, Joshua L, Rowland, Laura M, Sachdev, Perminder S, Sämann, Philipp G, Schall, Ulrich, Schumann, Gunter, Scott, Rodney J, Sim, Kang, Sisodiya, Sanjay M, Smoller, Jordan W, Dale, Anders M, Sommer, Iris E, St Pourcain, Beate, Stein, Dan J, Toga, Arthur W, Trollor, Julian N, Van der Wee, Nic J A, van 't Ent, Dennis, Völzke, Henry, Walter, Henrik, Weber, Bernd, Dalvie, Shareefa, Weinberger, Daniel R, Wright, Margaret J, Zhou, Juan, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, Consortium, Enhancing NeuroImaging Genetics through Meta-Analysis, Witte, A Veronica, Darin, Abigail, Fleisher, Adam, de Araujo, Tânia K, Pierce, Aimee, Mintz, Akiva, Lerner, Alan, Reith, Alastair D, Hofman, Albert, Espay, Alberto, Ihlenfeld, Albrecht, Ing, Alex, Iranzo, Alex, Beiser, Alexa S, de Zubicaray, Greig I, Norbash, Alexander, Barbot, Alexis, Rudolph, Alice, Portillo, Alicia, Chalker, Alison, Levey, Allan I, Rosen, Allyson, Smith, Amanda, Catafau, 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Masaki, Knopman, David, Hewitt, David L, Perry, David, Russell, David, Standaert, David, Winkfield, David, Green, Davis Robert C, Fontaine, Deborah, Miller, Delwyn D, Gessert, Devon, Garrett, Melanie E, Kerwin, Diana, Willeke, Diana, Drost, Dick, Papadopoulos, Dimitri, Rowe, Dominic, Simpson, Donna M, Muni, Donna, Galasko, Douglas, Scharre, Douglas W, Fillmer, Ariane, Ge, Tian, Bartha, Rob, Celmins, Dzintra, Zimmerman, Earl A, Teng, Edmond, Tolosa, Eduardo, Coleman, Edward, Zamrini, Edward, Mitsis, Effie, Finger, Elizabeth, Giddaluru, Sudheer, Oates, Elizabeth, Sosa, Elizabeth, Woo, Ellen, Rogalski, Emily, Lethbridge, Emma, Dooley, Eoin, Foster, Eric, Reiman, Eric M, Quinlan, Erin Burke, Goldman, Aaron L, Franklin, Erin, Heinzen, Erin L, Fletcher, Evan, Sprenger, Fabienne, Crivello, Fabrice, Biondo, Francesca, Parfitt, Francine, Hefti, Franz, Beyer, Frauke, Nees, Frauke, Green, Melissa J, Leonard, Gabriel, Robert, Gabriel, Thai, Gaby, Marshall, Gad A, Barker, Gareth, Conrad, Gary, Tremont, Geoffrey, Bartzokis, George, Groenewold, Nynke A, Hsiung, Ging-Yuek Robin, Malferrari, Giulia, Chiang, Gloria, Pearlson, Godfrey D, Liang, Grace, Jicha, Greg, Sorensen, Greg, Todd, Gretchen, Jimenez, Gustavo, Grotegerd, Dominik, Zare, Habil, Grabe, Hans Jörgen, Vanderswag, Helen, Schmidt, Helena, Venkov, Heli, Lemaitre, Hervé, Gurholt, Tiril P, Grossman, Hillel, Shill, Holly, Soares, Holly, Lin, Honghuang, Capote, Horacio, Bergman, Howard, Chertkow, Howard, Feldman, Howard, Fillit, Howard, Rosen, Howard J, Gutman, Boris A, Koleva, Hristina, Fernandez, Hubert, Garavan, Hugh, Shim, Hyungsub, Grachev, Igor D, Richard, Irene, Filippi, Irina, Rachinsky, Irina, Wurster, Isabel, Lind, Penelope A, Hansell, Narelle K, Mintzer, Jacobo, Ziolkowski, Jaimie, Brewer, James, Lah, James J, Leverenz, James, Becker, James T, Tetrud, James, Singleton-Garvin, Jamika, Egebjerg, Jan, Cellar, Janet S, Harris, Mathew A, Pentilla, Jani, Brosch, Jared R, Tinklenberg, Jared, Karlawish, Jason H, Meyer, Javier Villanueva, Himali, Jayandra J, Poline, Jean-Baptiste, Gunter, Jeff, Kaye, Jeffrey A, Harrison, Marc B, Dalley, Jeffrey, Burns, Jeffrey M, Petrella, Jeffrey R, Mule, Jennifer, Salazar, Jennifer, Rotter, Jerome I, Yesavage, Jerome, Cedarbaum, Jesse, Jiang, Jiyang, Haswell, Courtney C, Allard, Joanne, Lord, Joanne L, Hetelle, Joel, Kwok, John B, Brockington, John, Morris, John C, Hsiao, John, Morris, John, Olichney, John, Trojanowki, John Q, Hauser, Michael, Rogers, John, Seibyl, John, Yankey, Jon, Dubow, Jordan S, Jankovic, Joseph, Quinn, Joseph, Kass, Joseph S, Taylor, Joy L, Heidebrink, Judith L, Herms, Stefan, Trollor, Julian, Fröhner, Juliane, Anderson, Karen, Blank, Karen, Crawford, Karen, Smith, Karen Ekstam, Bell, Karen L, Williams, Karen, Kieburtz, Karl, Heslenfeld, Dirk J, Gauss, Katharina, Gloer, Katherine, Johnson, Kathleen, Tingus, Kathleen, DeMarco, Kathryn, Sink, Kaycee M, Hawkins, Keith A, Johnson, Keith A, Kantarci, Kejal, Ho, New Fei, Faber, Kelley, Harless, Kelly, Makino, Kelly M, Marek, Kenneth, Spicer, Kenneth, Shianna, Kevin, Chen, Kewei, Nam, Ki Won, Martin, Kim, Poki-Walker, Kim, Hoehn, David, Seppi, Klaus, Johnson, Kris, Fargher, Kristin, Lipowski, Kristine, Espay, Kristy, Womack, Kyle, Chahine, Lama, Flashman, Laura A, Daedelow, Laura, Hoffmann, Per, Leary, Laura, Beckett, Laurel, Honig, Lawrence S, Thal, Leon, Shaw, Leslie M, Kuller, Lew, Apostolova, Liana, Teodoro, Liberty, Rees, Linda, Pizzagalli, Fabrizio, Holleran, Laurena, Lewis, Lindsay, Hergesheimer, Lindsey, Silbert, Lisa C, Ravdin, Lisa, Taylor-Reinwald, Lisa, Uribe, Liz, Schneider, Lon S, Daiello, Lori A, Richer, Louis, Poustka, Luise, Hoogman, Martine, Pirpamer, Lukas, Mesulam, M Marcel, Ismail, M Saleem, Ranola, Madelaine, Korecka, Magdalena, Raichle, Marc, Seltzer, Marc, van der Brug, Marcel, Hottenga, Jouke-Jan, Mesulam, Marek-Marsel, Carrillo, Maria, Carroll, Maria, Knol, Maria J, Kataki, Maria, Greig-Custo, Maria T, Paillere, Marie-Laure, Albert, Marilyn, Love, Marissa Natelson, Ikeda, Masashi, Mintun, Mark A, Frasier, Mark, Logue, Mark, Minton, Mark, Loeffler, Markus, Scholz, Markus, Baca, Marne, Farlow, Martin R, Sadowski, Martin, Janowitz, Deborah, Creech, Mary L, Hynes, Mary L, Quiceno, Mary, Oakley, MaryAnn, Harris, Mat, Senjem, Matt, Bernstein, Matthew, Panizzon, Matthew S, Stern, Matthew, Becerra, Mauricio, Jansen, Iris E, Witbracht, Megan, Vernooij, Meike W, Brandabur, Melanie, Keltz, Melanie, Lamar, Melissa, Yang, Mia, Ahlijanian, Michael, Borrie, Michael, Neale, Michael C, Donohue, Michael, Jia, Tianye, Lyons, Michael J, Lin, Michael, Rapp, Michael, Smolka, Michael, Weiner, Michael W, Weiner, Michael, Figurski, Michal, Perron, Michel, Assaly, Michele, Luciano, Michelle, Jockwitz, Christiane, Rainka, Michelle, Dang, Mimi, Sheikh, Mohammed O, Ghanbari, Mohsen, Gaikwad, Mrunalini, Chowdhury, Munir, Trncic, Nadira, Amin, Najaf, Johnson, Nancy, Kanai, Ryota, Kowalksi, Nancy, Monahan, Nancy, Gillespie, Nathan A, Pacini, Nathaniel, Buckholtz, Neil, Kowall, Neil, Graff-Radford, Neill R, Fox, Nick, Pavese, Nicola, Karama, Sherif, Cairns, Nigel J, Schuff, Norbert, Foster, Norm, Relkin, Norman, Oyonumo, Ntekim E, Pomara, Nunzio, James, Olga, Ogunlana, Olu, Ching, Christopher R K, Kasperaviciute, Dalia, Carmichael, Owen, Doraiswamy, P Murali, Casalin, Paola, Barone, Paolo, Fatica, Parianne, Conrod, Patricia, Johnson, Patricia Lynn, Samuels, Patricia, Aisen, Paul, Malloy, Paul, Kaufmann, Tobias, Thompson, Paul, Ogrocki, Paula, Bezivin-Frere, Pauline, Maillard, Pauline, Fontoura, Paulo, Taylor, Peggy, Hogarth, Penelope, Gowland, Penny, Davies, Peter, Kelly, Sinead, Hardy, Peter, Snyder, Peter J, Snyder, Peter, Amouyel, Philippe, Muglia, Pierandrea, Tariot, Pierre, Lu, Po H, Varma, Pradeep, Vemuri, Prashanthi, Kikuchi, Masataka, Doody, Rachelle S, Carter, Raina, Shah, Raj C, Griffith, Randall, Yeh, Randy, Duara, Ranjan, Tarawneh, Rawan, James, Raymond, Turner, Raymond Scott, Klein, Marieke, Hernando, Raymundo, Silverstein, Rebecca, Sperling, Reisa A, Wilson, Renee, Carson, Richard E, Frank, Richard, El Khouli, Riham, Koeppe, Robert A, Santulli, Robert B, Knapp, Michael, Hauser, Robert, Umek, Robert, Radtke, Rodney, Killiany, Ronald, Petersen, Ronald, Rodriguez, Rosemarie, Miranda, Ruben, Knodt, Annchen R, Bruehl, Ruediger, Xia, Rui, Swerdlow, Russell H, Ottmann, Ruth, Millenet, Sabina, Borges-Neto, Salvador, Frank, Samuel, Black, Sandra, Weintraub, Sandra, Obradov, Sanja, Krämer, Bernd, Asthana, Sanjay, Vaishnavi, Sanjeev, Dolen, Sara, Mason, Sara S, Hohmann, Sarah, Kremen, Sarah, Miller, Sarah, Walter, Sarah, Herring, Scott, Neu, Scott, Lam, Max, Aydin, Semiha, Ahmad, Shahzad, Harlan, Sherry, Sirrel, Sherye A, Lasch, Shirley, Hu, Shu-Ching, Li, Shuo, Kittur, Smita, Chowdhury, Sohini, Lancaster, Thomas M, Pawluczyk, Sonia, Maingault, Sophie, Schneider, Stacy, Seiler, Stephan, Guthrie, Stephanie, Kielb, Stephanie, Reeder, Stephanie, Correia, Stephen, Pasternak, Stephen, McMahon, Mary Agnes B, Lee, Phil H, Salloway, Stephen, Johnson, Sterling, Williams, Steve, Chao, Steven, Arnold, Steven E, Paul, Steven, Potkin, Steven, Factor, Stewart, Isaacson, Stuart, Lett, Tristram A, Kim, Sungeun, Ainscough, Susan, Schultz, Susan K, Landau, Susan, Mendick, Susan, Rountree, Susan, Ostrowizki, Suzanne, Veillette, Suzanne, van der Lee, Sven J, Desrivieres, Sylvane, Lewis, Lindsay B, Lee, T-Y, Simuni, Tanya, Foroud, Tatiana, Foroud, Tatiana M, Wong, Terence Z, Villena, Teresa, Comery, Thomas, Obisesan, Thomas O, Lopes-Cendes, Iscia, Banaschewski, Tobias, Sherer, Todd, Montine, Tom, Paus, Tomáš, Robbins, Trevor, Bromberg, Uli, Völker, Uwe, Pavlik, Valory, Arnedo, Vanessa, Kiyasova, Vera, Bates, Vernice, Logovinsky, Veronika, Sossi, Vesna, Shibley, Victoria, Frouin, Vincent, Lee, Virginia, Poewe, Werner, Jagust, William, Brooks, William M, Macciardi, Fabio, Pavlosky, William, Potter, William, Kremen, William S, Longstreth, William T, Niessen, Wiro J, Jian, Xueqiu, Stern, Yaakov, Saba, Yasaman, Cabrera, Yuliana, Grimmer, Yvonne, Marquand, Andre F, Khachaturian, Zaven, Mari, Zoltan, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Stochastics, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, Science and Society, Cognitive Psychology, IBBA, APH - Personalized Medicine, Complex Trait Genetics, APH - Methodology, Clinical Neuropsychology, Sociology and Social Gerontology, Amsterdam Neuroscience - Complex Trait Genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Neurology, Psychiatry, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Digital Health, Psychology, Precision Medicine Institute of Psychiatry, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Clinical Genetics, Epidemiology, Medical Informatics, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Neurodegeneratives Diseases Institute (IMN-UMR CNRS 5293), Centre National de la Recherche Scientifique (CNRS), General Paediatrics, ARD - Amsterdam Reproduction and Development, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), [SDV]Life Sciences [q-bio], LOCI, Genome-wide association study, Brain mapping, 0302 clinical medicine, Cognition, Cortex (anatomy), ComputingMilieux_MISCELLANEOUS, Cerebral Cortex, 0303 health sciences, Brain Mapping, Multidisciplinary, COMMON VARIANTS, Parkinson Disease, Organ Size, Central sulcus, Magnetic Resonance Imaging, medicine.anatomical_structure, Cerebral cortex, Neuroinformatics, EXPRESSION, endocrine system, central sulcus, SURFACE-AREA, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Attention deficit hyperactivity disorder, Humans, General, Gene, METAANALYSIS, 030304 developmental biology, Progenitor, CORTICAL SULCI, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Genetic variants, Genetic Variation, Attention Deficit Disorder with Hyperactivity, Genetic Loci, Genome-Wide Association Study, functional annotation, medicine.disease, Genetic architecture, 030104 developmental biology, Evolutionary biology, OBSERVER-INDEPENDENT CHARACTERIZATION, Multiple comparisons problem, ddc:320, genome-wide association, Neuroscience, 030217 neurology & neurosurgery
Abstract: Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group., The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Published: 2020

24. A neural mechanism for affective well-being: Subgenual cingulate cortex mediates real-life effects of nonexercise activity on energy

Author: Reichert, Markus, Braun, Urs, Gan, Gabriela, Reinhard, Iris, Giurgiu, Marco, Ma, Ren, Zang, Zhenxiang, Hennig, Oliver, Koch, Elena D., Wieland, Lena, Schweiger, Janina, Inta, Dragos, Hoell, Andreas, Akdeniz, Ceren, Zipf, Alexander, Ebner-Priemer, Ulrich W., Tost, Heike, and Meyer-Lindenberg, Andreas
Subjects: Athletic & outdoor sports & games, Emotions, SciAdv r-articles, Life Sciences, Brain, Humans, ddc:796, Exercise, Gyrus Cinguli, Magnetic Resonance Imaging, Research Articles, Research Article, Neuroscience
Abstract: A neural mechanism underlying the real-life effects of nonexercise activity on well-being promises novel intervention targets., Physical activity substantially improves well-being and mental health, but the underlying brain processes remain unclear. Most research concerns exercise, although the majority of everyday human behaviors, such as walking or stair climbing, are nonexercise activities. Combining neuroimaging with ecological assessment of activity and GPS-triggered smartphone diaries, we show a specific association of nonexercise activity with energy in two independent samples mediated by the subgenual part of the anterior cingulate cortex (sgACC), a key emotion regulatory site. Furthermore, energy predicted a range of mental health metrics. sgACC volume moderated humans’ emotional gain from nonexercise activity in real life: Individuals with low sgACC volume, a risk factor for depression, felt less energized when inactive but benefited more from periods of high nonexercise activity. This suggests an everyday life mechanism affecting affective well-being in the general population and, if substantiated in patient samples, a risk and resilience process for mood disorders.
Published: 2020

25. Structural alterations in brainstem, basal ganglia and thalamus associated with parkinsonism in schizophrenia spectrum disorders.

Author: Fritze, Stefan, Harneit, Anais, Waddington, John L., Kubera, Katharina M., Schmitgen, Mike M., Otte, Marie-Luise, Geiger, Lena S., Tost, Heike, Meyer-Lindenberg, Andreas, Wolf, Robert C., and Hirjak, Dusan
Subjects: SCHIZOPHRENIA, MAGNETIC resonance imaging, BASAL ganglia, BRAIN stem, THALAMUS
Abstract: The relative roles of brainstem, thalamus and striatum in parkinsonism in schizophrenia spectrum disorder (SSD) patients are largely unknown. To determine whether topographical alterations of the brainstem, thalamus and striatum contribute to parkinsonism in SSD patients, we conducted structural magnetic resonance imaging (MRI) of SSD patients with (SSD-P, n = 35) and without (SSD-nonP, n = 64) parkinsonism, as defined by a Simpson and Angus Scale (SAS) total score of ≥ 4 and < 4, respectively, in comparison with healthy controls (n = 20). FreeSurfer v6.0 was used for segmentation of four brainstem regions (medulla oblongata, pons, superior cerebellar peduncle and midbrain), caudate nucleus, putamen and thalamus. Patients with parkinsonism had significantly smaller medulla oblongata (p = 0.01, false discovery rate (FDR)-corrected) and putamen (p = 0.02, FDR-corrected) volumes when compared to patients without parkinsonism. Across the entire patient sample (n = 99), significant negative correlations were identified between (a) medulla oblongata volumes and both SAS total (p = 0.034) and glabella-salivation (p = 0.007) scores, and (b) thalamic volumes and both SAS total (p = 0.033) and glabella-salivation (p = 0.007) scores. These results indicate that brainstem and thalamic structures as well as basal ganglia-based motor circuits play a crucial role in the pathogenesis of parkinsonism in SSD. [ABSTRACT FROM AUTHOR]
Published: 2021
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26. Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa

Author: Walton, E, Hibar, D, Yilmaz, Z, Jahanshad, N, Cheung, J, Batury, V-L, Seitz, J, Bulik, CM, Thompson, PM, Ehrlich, Stefan, Hibar, Derrek P, Stein, Jason L, Renteria, Miguel E, Arias-Vasquez, Alejandro, Desrivieres, Sylvane, Jahanshad, Neda, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Andersson, Micael, Aribisala, Benjamin S, Armstrong, Nicola J, Bernard, Manon, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brown, Andrew A, Chakravarty, M Mallar, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, Den Braber, Anouk, Giddaluru, Sudheer, Goldman, Aaron L, Grimm, Oliver, Guadalupe, Tulio, Hass, Johanna, Woldehawariat, Girma, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Loohuis, Loes M Olde, Luciano, Michelle, Macare, Christine, Mather, Karen A, Mattheisen, Manuel, Milaneschi, Yuri, Nho, Kwangsik, Papmeyer, Martina, Ramasamy, Adaikalavan, Risacher, Shannon L, Roiz-Santianez, Roberto, Rose, Emma J, Salami, Alireza, Samann, Philipp G, Schmaal, Lianne, Schork, Andrew J, Shin, Jean, Strike, Lachlan T, Teumer, Alexander, van Donkelaar, Marjolein MJ, van Eijk, Kristel R, Walters, Raymond K, Westlye, Lars T, Whelan, Christopher D, Winkler, Anderson M, Zwiers, Marcel P, Alhusaini, Saud, Athanasiu, Lavinia, Hakobjan, Marina MH, Hartberg, Cecilie B, Haukvik, Unn K, Heister, Angelien JGAM, Hohn, David, Kasperaviciute, Dalia, Liewald, David CM, Lopez, Lorna M, Makkinje, Remco RR, Matarin, Mar, Naber, Marlies AM, Mckay, David R, Needham, Margaret, Nugent, Allison C, Putz, Benno, Shen, Li, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia SL, van Hulzen, Kimm JE, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, Czisch, Michael, de Zubicaray, Greig I, Dillman, Allissa, Duggirala, Ravi, Dyer, Thomas D, Erk, Susanne, Fedko, Iryna O, Ferrucci, Luigi, Foroud, Tatiana M, Fox, Peter T, Fukunaga, Masaki, Gibbs, J Raphael, Goring, Harald HH, Green, Robert C, Guelfi, Sebastian, Hansell, Narelle K, Hartman, Catharina A, Hegenscheid, Katrin, Heinz, Andreas, Hernandez, Dena G, Heslenfeld, Dirk J, Hoekstra, Pieter J, Holsboer, Florian, Homuth, Georg, Hottenga, Jouke-Jan, Ikeda, Masashi, Jr, Jack Clifford R, Jenkinson, Mark, Johnson, Robert, Kanai, Ryota, Keil, Maria, Jr, Kent Jack W, Kochunov, Peter, Kwok, John B, Lawrie, Stephen M, Liu, Xinmin, Longo, Dan L, McMahon, Katie L, Meisenzahl, Eva, Melle, Ingrid, Mohnke, Sebastian, Montgomery, Grant W, Mostert, Jeanette C, Muhleisen, Thomas W, Nalls, Michael A, Nichols, Thomas E, Nilsson, Lars G, Nothen, Markus M, Ohi, Kazutaka, Olvera, Rene L, Perez-Iglesias, Rocio, Pike, G Bruce, Potkin, Steven G, Reinvang, Ivar, Reppermund, Simone, Rietschel, Marcella, Romanczuk-Seiferth, Nina, Rosen, Glenn D, Rujescu, Dan, Schnell, Knut, Schofield, Peter R, Smith, Colin, Steen, Vidar M, Sussmann, Jessika E, Thalamuthu, Anbupalam, Toga, Arthur W, Traynor, Bryan J, Troncoso, Juan, Turner, Jessica A, Hernandez, Maria C Valdes, van't Ent, Dennis, van der Brug, Marcel, van der Wee, Nic JA, van Tol, Marie-Jose, Veltman, Dick J, Wassink, Thomas H, Westman, Eric, Zielke, Ronald H, Zonderman, Alan B, Ashbrook, David G, Hager, Reinmar, Lu, Lu, McMahon, Francis J, Morris, Derek W, Williams, Robert W, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Cahn, Wiepke, Calhoun, Vince D, Cavalleri, Gianpiero L, Crespo-Facorro, Benedicto, Dale, Anders M, Davies, Gareth E, Delanty, Norman, Depondt, Chantal, Djurovic, Srdjan, Drevets, Wayne C, Espeseth, Thomas, Gollub, Randy L, Ho, Beng-Choon, Hoffmann, Wolfgang, Hosten, Norbert, Kahn, Rene S, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Mueller-Myhsok, Bertram, Nauck, Matthias, Nyberg, Lars, Pandolfo, Massimo, Penninx, Brenda WJH, Roffman, Joshua L, Sisodiya, Sanjay M, Smoller, Jordan W, van Bokhoven, Hans, van Haren, Neeltje EM, Volzke, Henry, Walter, Henrik, Weiner, Michael W, Wen, Wei, White, Tonya, Agartz, Ingrid, Andreassen, Ole A, Blangero, John, Boomsma, Dorret I, Brouwer, Rachel M, Cannon, Dara M, Cookson, Mark R, de Geus, Eco JC, Deary, Ian J, Donohoe, Gary, Fernandez, Guillen, Fisher, Simon E, Francks, Clyde, Glahn, David C, Grabe, Hans J, Gruber, Oliver, Hardy, John, Hashimoto, Ryota, Pol, Hilleke E Hulshoff, Jonsson, Erik G, Kloszewska, Iwona, Lovestone, Simon, Mattay, Venkata S, Mecocci, Patrizia, McDonald, Colm, McIntosh, Andrew M, Ophoff, Roel A, Paus, Tomas, Pausova, Zdenka, Ryten, Mina, Sachdev, Perminder S, Saykin, Andrew J, Simmons, Andrew, Singleton, Andrew, Soininen, Hilkka, Wardlaw, Joanna M, Weale, Michael E, Weinberger, Daniel R, Adams, Hieab HH, Launer, Lenore J, Seiler, Stephan, Schmidt, Reinhold, Chauhan, Ganesh, Satizabal, Claudia L, Becker, James T, Yanek, Lisa R, van der Lee, Sven J, Ebling, Maritza, Fischl, Bruce, Longstreth, WT, Greve, Douglas, Schmidt, Helena, Nyquist, Paul, Vinke, Louis N, van Duijn, Cornelia M, Luting, Xue, Mazoyer, Bernard, Bis, Joshua C, Gudnason, Vilmundur, Seshadri, Sudha, Ikram, M Arfan, Martin, Nicholas G, Wright, Margaret J, Schumann, Gunter, Franke, Barbara, Thompson, Paul M, Medland, Sarah E, Duncan, Laramie, Yilmaz, Zeynep, Walters, Raymond, Goldstein, Jackie, Anttila, Verneri, Bulik-Sullivan, Brendan, Ripke, Stephan, Adan, Roger, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole, Aschauer, Harald, Baker, Jessica, Barrett, Jeffrey, Bencko, Vladimir, Bergen, Andrew, Berrettini, Wade, Birgegard, Andreas, Boni, Claudette, Perica, Vesna Boraska, Brandt, Harry, Burghardt, Roland, Carlberg, Laura, Cassina, Matteo, Cichon, Carolyn Cesta Sven, Clementi, Maurizio, Cohen-Woods, Sarah, Coleman, Joni, Cone, Roger, Courtet, Philippe, Crawford, Steven, Crow, Scott, Crowley, Jim, Danner, Unna, Davis, Oliver, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece, Dick, Danielle, Dikeos, Dimitris, Dina, Christian, Ding, Bo, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Egberts, Karin, Escaramis, Georgia, Esko, Tonu, Estivill, Xavier, Favaro, Angela, Fernandez-Aranda, Fernando, Fichter, Manfred, Finan, Chris, Fischer, Krista, Floyd, James, Focker, Manuel, Foretova, Lenka, Forzan, Monica, Fox, Caroline, Franklin, Christopher, Gallinger, Valerie Gaborieau Steven, Gambaro, Giovanni, Gaspar, Helena, Giegling, Ina, Gonidakis, Fragiskos, Gorwood, Philip, Gratacos, Monica, Guillaume, Sebastien, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine, Harrison, Rebecca, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske, Hendriks, Judith, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hilliard, Christopher, Huckins, Laura, Hudson, James, Huemer, Julia, Imgart, Hartmut, Inoko, Hidetoshi, Jamain, Sigrid Jall Stephane, Janout, Vladimir, Jimenez-Murcia, Susana, Johnson, Craig, Jordan, Jenny, Julia, Antonio, Jureus, Anders, Kalsi, Gursharan, Kaplan, Allan, Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien, Kaye, Walter, Kennedy, Martin, Kennedy, James, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Klareskog, Lars, Klump, Kelly, Knudsen, Gun Peggy, Koeleman, Bobby, Koubek, Doris, La Via, Maria, Landen, Mikael, Leboyer, Marion, Levitan, Robert, Li, Dong, Lichtenstein, Paul, Lilenfeld, Lisa, Lissowska, Jolanta, Lundervold, Astri, Magistretti, Pierre, Maj, Mario, Mannik, Katrin, Marsal, Sara, Kaminska, Debora, Martin, Nicholas, Mattingsdal, Morten, McDevitt, Sara, McGuffin, Peter, Merl, Elisabeth, Metspalu, Andres, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, James, Mitchell, Karen, Monteleone, Palmiero, Monteleone, Alessio Maria, Montgomery, Grant, Mortensen, Preben, Munn-Chernoff, Melissa, Mueller, Timo, Nacmias, Benedetta, Navratilova, Marie, Nilsson, Ida, Norring, Claes, Ntalla, Ioanna, Ophoff, Roel, O'Toole, Julie, Palotie, Aarno, Pantel, Jacques, Papezova, Hana, Pinto, Richard Parker Dalila, Rabionet, Raquel, Raevuori, Anu, Rajewski, Andrzej, Ramoz, Nicolas, Rayner, N William, Reichborn-Kjennerud, Ted, Ricca, Valdo, Ripatti, Samuli, Ritschel, Franziska, Roberts, Marion, Rotondo, Alessandro, Rybakowski, Filip, Santonastaso, Paolo, Scherag, Andre, Scherer, Stephen, Schmidt, Ulrike, Schork, Nicholas, Schosser, Alexandra, Scott, Laura, Seitz, Jochen, Slachtova, Lenka, Sladek, Robert, Slagboom, P Eline, Slof-Op't Landt, Margarita, Slopien, Agnieszka, Smith, Tosha, Soranzo, Nicole, Sorbi, Sandro, Southam, Lorraine, Steen, Vidar, Strengman, Eric, Strober, Michael, Szatkiewicz, Jin, Szeszenia-Dabrowska, Neonila, Tachmazidou, Ioanna, Tenconi, Elena, Tortorella, Alfonso, Tozzi, Federica, Treasure, Janet, Tschop, Matthias, Tsitsika, Artemis, Tziouvas, Konstantinos, van Elburg, Annemarie, van Furth, Eric, Wade, Tracey, Wagner, Gudrun, Watson, Hunna, Wichmann, H-Erich, Widen, Elisabeth, Woodside, D Blake, Yanovski, Jack, Yao, Shuyang, Zerwas, Stephanie, Zipfel, Stephan, Thornton, Laura, Hinney, Anke, Breen, Gerome, Bulik, Cynthia M, PGC-ED, Grp, ENIGMA Genetics Working, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Kas lab, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Mental Health
Subjects: 0301 basic medicine, Anorexia Nervosa, Eating Disorders, REWARD CIRCUITRY, Genome-wide association study, ADOLESCENT, PGC-ED, Bioinformatics, Linkage Disequilibrium, 0302 clinical medicine, Anorexia nervosa, Brain structure, Genetic correlation, SCHIZOPHRENIA, ENIGMA Genetics Working Group, 2.1 Biological and endogenous factors, Psychology, Aetiology, Cervell, RISK, ABNORMALITIES, Anorèxia nerviosa, Brain, FUNCTIONAL CONNECTIVITY, Organ Size, Single Nucleotide, Serious Mental Illness, Magnetic Resonance Imaging, 3. Good health, Anorexia, Mental Health, Neurology, Anorexia nervosa (differential diagnoses), Brain size, MENDELIAN RANDOMIZATION, Biomedical Imaging, Cognitive Sciences, RESPONSE-INHIBITION, Neuroscience (miscellaneous), Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Mendelian randomization, Journal Article, Genetics, Humans, Genetic Testing, GENOME-WIDE ASSOCIATION, Polymorphism, POLYMORPHISMS, Genetic association, Neurology & Neurosurgery, Prevention, Human Genome, Neurosciences, Mendelian Randomization Analysis, Genetic architecture, Brain Disorders, 030104 developmental biology, Genetic marker, Case-Control Studies, 030217 neurology & neurosurgery, Genètica, Genome-Wide Association Study
Abstract: Molecular neurobiology 56(7), 5146-5156 (2019). doi:10.1007/s12035-018-1439-4, Published by Humana Press, Totowa, NJ
Published: 2019

27. Amygdala functional connectivity in major depression – disentangling markers of pathology, risk and resilience.

Author: Wackerhagen, Carolin, Veer, Ilya M., Erk, Susanne, Mohnke, Sebastian, Lett, Tristram A., Wüstenberg, Torsten, Romanczuk-Seiferth, Nina Y., Schwarz, Kristina, Schweiger, Janina I., Tost, Heike, Meyer-Lindenberg, Andreas, Heinz, Andreas, and Walter, Henrik
Subjects: AMYGDALOID body physiology, MENTAL depression genetics, MENTAL depression risk factors, AMYGDALOID body, BIOMARKERS, COMPARATIVE studies, STATISTICAL correlation, MENTAL depression, FACE, FRONTAL lobe, MAGNETIC resonance imaging, MATHEMATICAL models, PSYCHOLOGY, PSYCHOLOGICAL resilience, RISK assessment, PHENOTYPES, TASK performance, FAMILY history (Medicine), FUNCTIONAL connectivity
Abstract: Background: Limbic-cortical imbalance is an established model for the neurobiology of major depressive disorder (MDD), but imaging genetics studies have been contradicting regarding potential risk and resilience mechanisms. Here, we re-assessed previously reported limbic-cortical alterations between MDD relatives and controls in combination with a newly acquired sample of MDD patients and controls, to disentangle pathology, risk, and resilience. Methods: We analyzed functional magnetic resonance imaging data and negative affectivity (NA) of MDD patients (n = 48), unaffected first-degree relatives of MDD patients (n = 49) and controls (n = 109) who performed a faces matching task. Brain response and task-dependent amygdala functional connectivity (FC) were compared between groups and assessed for associations with NA. Results: Groups did not differ in task-related brain activation but activation in the superior frontal gyrus (SFG) was inversely correlated with NA in patients and controls. Pathology was associated with task-independent decreases of amygdala FC with regions of the default mode network (DMN) and decreased amygdala FC with the medial frontal gyrus during faces matching, potentially reflecting a task-independent DMN predominance and a limbic-cortical disintegration during faces processing in MDD. Risk was associated with task-independent decreases of amygdala-FC with fronto-parietal regions and reduced faces-associated amygdala-fusiform gyrus FC. Resilience corresponded to task-independent increases in amygdala FC with the perigenual anterior cingulate cortex (pgACC) and increased FC between amygdala, pgACC, and SFG during faces matching. Conclusion: Our results encourage a refinement of the limbic-cortical imbalance model of depression. The validity of proposed risk and resilience markers needs to be tested in prospective studies. Further limitations are discussed. [ABSTRACT FROM AUTHOR]
Published: 2020
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28. Association of a Reproducible Epigenetic Risk Profile for Schizophrenia With Brain Methylation and Function.

Author: Chen, Junfang, Zang, Zhenxiang, Braun, Urs, Schwarz, Kristina, Harneit, Anais, Kremer, Thomas, Ma, Ren, Schweiger, Janina, Moessnang, Carolin, Geiger, Lena, Cao, Han, Degenhardt, Franziska, Nöthen, Markus M., Tost, Heike, Meyer-Lindenberg, Andreas, and Schwarz, Emanuel
Subjects: PREMENSTRUAL syndrome, SCHIZOPHRENIA, EPIGENETICS, MENTAL depression, GENOTYPE-environment interaction, METHYLATION, FRONTAL lobe, RESEARCH, HIPPOCAMPUS (Brain), NEURAL pathways, SEQUENCE analysis, RESEARCH methodology, CASE-control method, MAGNETIC resonance imaging, EVALUATION research, MEDICAL cooperation, DNA methylation, COMPARATIVE studies, GENES, NEURORADIOLOGY
Abstract: Importance: Schizophrenia is a severe mental disorder in which epigenetic mechanisms may contribute to illness risk. Epigenetic profiles can be derived from blood cells, but to our knowledge, it is unknown whether these predict established brain alterations associated with schizophrenia.Objective: To identify an epigenetic signature (quantified as polymethylation score [PMS]) of schizophrenia using machine learning applied to genome-wide blood DNA-methylation data; evaluate whether differences in blood-derived PMS are mirrored in data from postmortem brain samples; test whether the PMS is associated with alterations of dorsolateral prefrontal cortex hippocampal (DLPFC-HC) connectivity during working memory in healthy controls (HC); explore the association between interactions between polygenic and epigenetic risk with DLPFC-HC connectivity; and test the specificity of the signature compared with other serious psychiatric disorders.Design, Setting, and Participants: In this case-control study conducted from 2008 to 2018 in sites in Germany, the United Kingdom, the United States, and Australia, blood DNA-methylation data from 2230 whole-blood samples from 6 independent cohorts comprising HC (1238 [55.5%]) and participants with schizophrenia (803 [36.0%]), bipolar disorder (39 [1.7%]), major depressive disorder 35 [1.6%]), and autism (27 [1.2%]), and first-degree relatives of all patient groups (88 [3.9%]) were analyzed. DNA-methylation data were further explored from 244 postmortem DLPFC samples from 136 HC and 108 patients with schizophrenia. Neuroimaging and genome-wide association data were available for 393 HC. The latter data was used to calculate a polygenic risk score (PRS) for schizophrenia. The data were analyzed in 2019.Main Outcomes and Measures: The accuracy of schizophrenia control classification based on machine learning using epigenetic data; association of schizophrenia PMS scores with DLPFC-HC connectivity; and association of the interaction between PRS and PMS with DLPFC-HC connectivity.Results: This study included 7488 participants (4395 men [58.7%]), of whom 3158 (2230 men [70.6%]) received a diagnosis of schizophrenia. The PMS signature was associated with schizophrenia across 3 independent data sets (area under the curve [AUC] from 0.69 to 0.78; P value from 0.049 to 1.24 × 10-7) and data from postmortem DLPFC samples (AUC = 0.63; P = 1.42 × 10-4), but not with major depressive disorder (AUC = 0.51; P = .16), autism (AUC = 0.53; P = .66), or bipolar disorder (AUC = 0.58; P = .21). Pathways contributing most to the classification included synaptic processes. Healthy controls with schizophrenia-like PMS showed significantly altered DLPFC-HC connectivity (validation methylation/magnetic resonance imaging, t < -3.81; P for familywise error, <.04; validation magnetic resonance imaging, t < -3.54; P for familywise error, <.02), mirroring the lack of functional decoupling in schizophrenia. There was no significant association of the interaction between PMS and PRS with DLPFC-HC connectivity (P > .19).Conclusions and Relevance: We identified a reproducible blood DNA-methylation signature specific for schizophrenia that was correlated with altered functional DLPFC-HC coupling during working memory and mapped to methylation differences found in DLPFC postmortem samples. This indicates a possible epigenetic contribution to a schizophrenia intermediate phenotype and suggests that PMS could be of interest to be studied in the context of multimodal biomarkers for disease stratification and treatment personalization. [ABSTRACT FROM AUTHOR]
Published: 2020
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29. Transdiagnostic Prediction of Affective, Cognitive, and Social Function Through Brain Reward Anticipation in Schizophrenia, Bipolar Disorder, Major Depression, and Autism Spectrum Diagnoses.

Author: Schwarz, Kristina, Moessnang, Carolin, Schweiger, Janina I, Baumeister, Sarah, Plichta, Michael M, Brandeis, Daniel, Banaschewski, Tobias, Wackerhagen, Carolin, Erk, Susanne, Walter, Henrik, Tost, Heike, and Meyer-Lindenberg, Andreas
Subjects: DIAGNOSIS of autism, DIAGNOSIS of mental depression, DIAGNOSIS of schizophrenia, DIAGNOSIS of bipolar disorder, BASAL ganglia, BRAIN mapping, COGNITION, MAGNETIC resonance imaging, SOCIAL skills, NEURAL pathways, EXECUTIVE function
Abstract: The relationship between transdiagnostic, dimensional, and categorical approaches to psychiatric nosology is under intense debate. To inform this discussion, we studied neural systems linked to reward anticipation across a range of disorders and behavioral dimensions. We assessed brain responses to reward expectancy in a large sample of 221 participants, including patients with schizophrenia (SZ; n = 27), bipolar disorder (BP; n = 28), major depressive disorder (MD; n = 31), autism spectrum disorder (ASD; n = 25), and healthy controls (n = 110). We also characterized all subjects with an extensive test battery from which a cognitive, affective, and social functioning factor was constructed. These factors were subsequently related to functional responses in the ventral striatum (vST) and neural networks linked to it. We found that blunted vST responses were present in SZ, BP, and ASD but not in MD. Activation within the vST predicted individual differences in affective, cognitive, and social functioning across diagnostic boundaries. Network alterations extended beyond the reward network to include regions implicated in executive control. We further confirmed the robustness of our results in various control analyses. Our findings suggest that altered brain responses during reward anticipation show transdiagnostic alterations that can be mapped onto dimensional measures of functioning. They also highlight the role of executive control of reward and salience signaling in the disorders we study and show the power of systems-level neuroscience to account for clinically relevant behaviors. [ABSTRACT FROM AUTHOR]
Published: 2020
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30. Common genetic variants influence human subcortical brain structures

Author: Hibar, Derrek P, Stein, Jason L, Aribisala, Benjamin S, de Zubicaray, Greig I, Dillman, Allissa, Duggirala, Ravi, Dyer, Thomas D, Erk, Susanne, Fedko, Iryna O, Ferrucci, Luigi, Foroud, Tatiana M, Fox, Peter T, Fukunaga, Masaki, Armstrong, Nicola J, Gibbs, J Raphael, Göring, Harald H H, Green, Robert C, Guelfi, Sebastian, Hansell, Narelle K, Hartman, Catharina A, Hegenscheid, Katrin, Heinz, Andreas, Hernandez, Dena G, Heslenfeld, Dirk J, Bernard, Manon, Hoekstra, Pieter J, Holsboer, Florian, Homuth, Georg, Hottenga, Jouke-Jan, Ikeda, Masashi, Jack, Clifford R, Jenkinson, Mark, Johnson, Robert, Kanai, Ryota, Keil, Maria, Bohlken, Marc M, Kent, Jack W, Kochunov, Peter, Kwok, John B, Lawrie, Stephen M, Liu, Xinmin, Longo, Dan L, McMahon, Katie L, Meisenzahl, Eva, Melle, Ingrid, Mohnke, Sebastian, Boks, Marco P, Montgomery, Grant W, Mostert, Jeanette C, Mühleisen, Thomas W, Nalls, Michael A, Nichols, Thomas E, Nilsson, Lars G, Nöthen, Markus M, Ohi, Kazutaka, Olvera, Rene L, Perez-Iglesias, Rocio, Bralten, Janita, Pike, G Bruce, Potkin, Steven G, Reinvang, Ivar, Reppermund, Simone, Rietschel, Marcella, Romanczuk-Seiferth, Nina, Rosen, Glenn D, Rujescu, Dan, Schnell, Knut, Schofield, Peter R, Brown, Andrew A, Smith, Colin, Steen, Vidar M, Sussmann, Jessika E, Thalamuthu, Anbupalam, Toga, Arthur W, Traynor, Bryan J, Troncoso, Juan, Turner, Jessica A, Valdés Hernández, Maria C, van 't Ent, Dennis, Chakravarty, M Mallar, van der Brug, Marcel, van der Wee, Nic J A, van Tol, Marie-Jose, Veltman, Dick J, Wassink, Thomas H, Westman, Eric, Zielke, Ronald H, Zonderman, Alan B, Ashbrook, David G, Hager, Reinmar, Chen, Qiang, Lu, Lu, McMahon, Francis J, Morris, Derek W, Williams, Robert W, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Cahn, Wiepke, Calhoun, Vince D, Cavalleri, Gianpiero L, Ching, Christopher R K, Crespo-Facorro, Benedicto, Dale, Anders M, Davies, Gareth E, Delanty, Norman, Depondt, Chantal, Djurovic, Srdjan, Drevets, Wayne C, Espeseth, Thomas, Gollub, Randy L, Ho, Beng-Choon, Renteria, Miguel E, Cuellar-Partida, Gabriel, Hoffmann, Wolfgang, Hosten, Norbert, Kahn, René S, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Müller-Myhsok, Bertram, Nauck, Matthias, Nyberg, Lars, Pandolfo, Massimo, Penninx, Brenda W J H, den Braber, Anouk, Roffman, Joshua L, Sisodiya, Sanjay M, Smoller, Jordan W, van Bokhoven, Hans, van Haren, Neeltje E M, Völzke, Henry, Walter, Henrik, Weiner, Michael W, Wen, Wei, White, Tonya, Giddaluru, Sudheer, Agartz, Ingrid, Andreassen, Ole A, Blangero, John, Boomsma, Dorret I, Brouwer, Rachel M, Cannon, Dara M, Cookson, Mark R, de Geus, Eco J C, Deary, Ian J, Donohoe, Gary, Goldman, Aaron L, Fernández, Guillén, Fisher, Simon E, Francks, Clyde, Glahn, David C, Grabe, Hans J, Gruber, Oliver, Hardy, John, Hashimoto, Ryota, Hulshoff Pol, Hilleke E, Jönsson, Erik G, Grimm, Oliver, Kloszewska, Iwona, Lovestone, Simon, Mattay, Venkata S, Mecocci, Patrizia, McDonald, Colm, McIntosh, Andrew M, Ophoff, Roel A, Paus, Tomas, Pausova, Zdenka, Ryten, Mina, Guadalupe, Tulio, Sachdev, Perminder S, Saykin, Andrew J, Simmons, Andy, Singleton, Andrew, Soininen, Hilkka, Wardlaw, Joanna M, Weale, Michael E, Weinberger, Daniel R, Adams, Hieab H H, Launer, Lenore J, Hass, Johanna, Seiler, Stephan, Schmidt, Reinhold, Chauhan, Ganesh, Satizabal, Claudia L, Becker, James T, Yanek, Lisa, van der Lee, Sven J, Ebling, Maritza, Fischl, Bruce, Longstreth, W. T., Woldehawariat, Girma, Greve, Douglas, Schmidt, Helena, Nyquist, Paul, Vinke, Louis N, van Duijn, Cornelia M, Xue, Luting, Mazoyer, Bernard, Bis, Joshua C, Gudnason, Vilmundur, Seshadri, Sudha, Holmes, Avram J, Ikram, M Arfan, Initiative, Alzheimer’s Disease Neuroimaging, Consortium, CHARGE, EPIGEN, IMAGEN, SYS, Martin, Nicholas G, Wright, Margaret J, Schumann, Gunter, Franke, Barbara, Hoogman, Martine, Thompson, Paul M, Medland, Sarah E, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jagust, William, Trojanowki, John Q, Beckett, Laurel, Arias-Vasquez, Alejandro, Janowitz, Deborah, Morris, John, Shaw, Leslie M, Khachaturian, Zaven, Sorensen, Greg, Carrillo, Maria, Kuller, Lew, Raichle, Marc, Paul, Steven, Jia, Tianye, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, Davie, Mesulman, M Marcel, Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Kim, Sungeun, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Klein, Marieke, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCarli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Kraemer, Bernd, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Lee, Phil H, Landau, Susan, Cairns, Nigel J, Householder, Erin, Taylor-Reinwald, Lisa, Trojanowki, J. 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Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, deToledo-Morrell, Leyla, Shah, Raj C, Papmeyer, Martina, Duara, Ranjan, Varon, Daniel, Greig, Maria T, Roberts, Peggy, Onyike, Chiadi, D'Agostino, Daniel, Kielb, Stephanie, Galvin, James E, Pogorelec, Dana M, Ramasamy, Adaikalavan, Cerbone, Brittany, Michel, Christina A, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Wong, Terence Z, Arnold, Steven E, Risacher, Shannon L, Karlawish, Jason H, Wolk, David, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Roiz-Santiañez, Roberto, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Rose, Emma J, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I, Lah, James J, Salami, Alireza, Cellar, Janet S, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H S, Lu, Po H, Bartzokis, George, Sämann, Philipp G, Graff-Radford, Neill R, Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H, Jahanshad, Neda, Schmaal, Lianne, Carson, Richard E, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Yuek Robin, Feldman, Howard, Schork, Andrew J, Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristine, Shin, Jean, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Strike, Lachlan T, Marshall, Gad, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N, Belden, Christine M, Jacobson, Sandra A, Teumer, Alexander, Sirrel, Sherye A, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Allard, Joanne, Lerner, Alan, van Donkelaar, Marjolein M J, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichael, Owen, Olichney, John, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, van Eijk, Kristel R, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Walters, Raymond K, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Westlye, Lars T, Anderson, Karen, Santulli, Robert B, Kitzmiller, Tamar J, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Whelan, Christopher D, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Finger, Elizabether, Toro, Roberto, Winkler, Anderson M, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Ponto, Laura L Boles, Zwiers, Marcel P, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Amin, Najaf, Becker, Diane, Alhusaini, Saud, Beiser, Alexa, Debette, Stéphanie, DeStefano, Anita, Hofer, Edith, Hofman, Albert, Niessen, Wiro J, Smith, Albert, Tzourio, Christophe, Vaidya, Dhananjay, Athanasiu, Lavinia, Vernooij, Meike W, Goldstein, David B, Heinzen, Erin L, Shianna, Kevin, Radtke, Rodney, Ottmann, Ruth, Albrecht, Lisa, Andrew, Chris, Arroyo, Mercedes, Artiges, Eric, Ehrlich, Stefan, Aydin, Semiha, Bach, Christine, Banaschewski, Tobias, Barbot, Alexis, Barker, Gareth, Boddaert, Nathalie, Bokde, Arun, Bricaud, Zuleima, Bromberg, Uli, Bruehl, Ruediger, Hakobjan, Marina M H, Büchel, Christian, Cachia, Arnaud, Cattrell, Anna, Conrod, Patricia, Constant, Patrick, Crombag, Hans, Czech, Katharina, Dalley, Jeffrey, Decideur, Benjamin, Desrivieres, Sylvane, Hartberg, Cecilie B, Fadai, Tahmine, Flor, Herta, Frouin, Vincent, Fuchs, Birgit, Gallinat, Jürgen, Garavan, Hugh, Briand, Fanny Gollier, Gowland, Penny, Head, Kay, Heinrichs, Bert, Haukvik, Unn K, Heym, Nadja, Hübner, Thomas, Ihlenfeld, Albrecht, Ireland, James, Ittermann, Bernd, Ivanov, Nikolay, Jones, Jennifer, Klaassen, Arno, Heister, Angelien J G A M, Lalanne, Christophe, Lathrop, Mark, Lanzerath, Dirk, Lemaitre, Hervé, Lüdemann, Katharina, Mallik, Catherine, Mangin, Jean-François, Mann, Karl, Mar, Adam, Hoehn, David, Martinot, Jean-Luc, Massicotte, Jessica, Mennigen, Eva, Mesquita de Carvahlo, Fabiana, Mignon, Xavier, Miranda, Ruben, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Paillere, Marie-Laure, Wittfeld, Katharina, Kasperaviciute, Dalia, Pena-Oliver, Yolanda, Poline, Jean-Baptiste, Poustka, Luise, Rapp, Michael, Reed, Laurence, Robert, Gabriel, Reuter, Jan, Liewald, David C M, Ripke, Stephan, Ripley, Tamzin, Robbins, Trevor, Rodehacke, Sarah, Romanowski, Alexander, Ruggeri, Barbara, Schilling, Christina, Schmäl, Christine, Schmidt, Dirk, Lopez, Lorna M, Schneider, Sophia, Schroeder, Markus, Schubert, Florian, Schwartz, Yannick, Smolka, Michael, Sommer, Wolfgang, Spanagel, Rainer, Speiser, Claudia, Spranger, Tade, Stedman, Alicia, Makkinje, Remco R R, Steiner, Sabina, Stephens, Dai, Strache, Nicole, Ströhle, Andreas, Struve, Maren, Subramaniam, Naresh, Theobald, David, Topper, Lauren, Vollstaedt-Klein, Sabine, Walaszek, Bernadeta, Matarin, Mar, Weiß, Katharina, Werts, Helen, Whelan, Robert, Williams, Steve, Yacubian, Juliana, Ziesch, Veronika, Zilbovicius, Monica, Wong, C Peng, Lubbe, Steven, Naber, Marlies A M, Martinez-Medina, Lourdes, Kepa, Agnes, Fernandes, Alinda, Tahmasebi, Amir, Abrahamowicz, Michal, Gaudet, Daniel, Leonard, Gabriel, Perron, Michel, Richer, Louis, Seguin, Jean, McKay, D Reese, Veillette, Suzanne, Needham, Margaret, Nugent, Allison C, Pütz, Benno, Abramovic, Lucija, Royle, Natalie A, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia S L, van Hulzen, Kimm J E, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Andersson, Micael, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, Czisch, Michael, MUMC+: DA Klinische Genetica (5), RS: GROW - Developmental Biology, RS: GROW - R4 - Reproductive and Perinatal Medicine, Université de Montréal. Faculté de médecine. Département de psychiatrie et d'addictologie, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), QIMR Berghofer Medical Research Institute, Department of Psychiatry, Donders Centre for Neuroscience, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, PRES Sorbonne Paris Cité, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Greifswald University Hospital, University Medical Center [Utrecht], European Commission, University of Edinburgh, Lagos State University (LASU), Heriot-Watt University [Edinburgh] (HWU), Unité d'expérimentation sur les Ruminants de Theix, Institut National de la Recherche Agronomique (INRA), Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], University of Oslo (UiO), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], School of Technical Physics, Xidian University, Dept. of Mechanical Engineering, McMaster University [Hamilton, Ontario], Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Haukeland University Hospital, University of Bergen (UiB), Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 (PC2A), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Universität Heidelberg [Heidelberg] = Heidelberg University, Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Georgia Institute of Technology [Atlanta], National Institutes of Health [Bethesda] (NIH), Yale University [New Haven], Massachusetts General Hospital [Boston], Mental Health Sciences Unit, University College of London [London] (UCL), Beijing Normal University (BNU), Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Scottish Fish Immunology Research Centre, School of Biological Sciences, University of Aberdeen, University of California (UC), Medstar Research Institute, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå 901 87, Sweden, Aging Research Center [Karolinska Institutet] (ARC ), Stockholm University-Karolinska Institutet [Stockholm], Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), The Hospital for sick children [Toronto] (SickKids), Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Department of Genomics of Common Disease, Imperial College London, Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Deutsche Bundesbank, Department of Neurology and Neurosurgery [Montreal], McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), MetaGenoPolis, Department of Psychiatric Research and Development, Diakonhjemmet Hospital, Oslo 0319, Norway, UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Clinical And Experimental Epilepsy, Dpt of Psychiatry [New Haven], Yale School of Medicine [New Haven, Connecticut] (YSM), Hartford Hospital, Neuropsychiatric Genetics Research Group and Department of Psychiatry, Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 2, Ireland, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Statistical Genetics Group, State Key Laboratory of Lead Compound Research, WuXi AppTec, Co., Ltd, Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre (KFSH & RC), Centre épigénétique et destin cellulaire (EDC), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Dundee Technopole, CXR Biosciences Ltd, Ninewells Hospital and Medical School, Biomedical Research Centre, University of Dundee, Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Department of Clinical Genetics, Department of Medical Parasitology and Mycology, School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-Tehran University of Medical Siences, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Texas Biomedical Research Institute [San Antonio, TX], Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Department of Materials Science & Metallurgy, University of Cambridge [UK] (CAM), Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], School of Psychology, University of Queensland, Laboratory of Neurogenetics, The University of Texas Health Science Center at Houston (UTHealth), Department of Genomics, Department of Medical and Molecular Genetics, South Texas Veterans Health Care System, San Antonio, Texas 78229, USA, Biofunctional Imaging, Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan, Public Health Genomics Unit, Department of Biomolecular Engineering, Rheinische Friedrich-Wilhelms-Universität Bonn, Estación Experimental de Pastos y Forrajes 'Indio Hatuey', University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Psychiatry, Fujita Health University School of Medicine, Toyoake 470-1192, Japan, Department of Radiology, Mayo Clinic, Department of Clinical Neurology [Oxford], University of Oxford-FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital], University of Maryland School of Medicine, University of Maryland System, University of Sussex, Institute of Cognitive Neuroscience, United Kingdom Met Office [Exeter], University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University [Hong Kong] (POLYU)-The Hong Kong Polytechnic University [Hong Kong] (POLYU), Columbia University Irving Medical Center (CUIMC), Lymphocyte Cell Biology Unit, Laboratory of Genetics, Centre for Advanced Imaging, Psychiatry and Psychotherapy, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Statistics [Warwick], University of Warwick [Coventry], Osaka University [Osaka], Institute of Psychiatry, King’s College London, London SE5 8AF, UK, University of Calgary, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, University of California [Irvine] (UC Irvine), Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, Space and Naval Warfare Systems Center, Klinik für Psychiatrie, Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Division of Medical Psychology, Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Développement et amélioration des plantes (UMR DAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, Laboratory of Neuro Imaging [Los Angeles] (LONI), Departamento de Física Aplicada, Universidade de Vigo, Georgia State University, University System of Georgia (USG), Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Universiteit Leiden, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Manchester [Manchester], The University of Tennessee Health Science Center [Memphis] (UTHSC), iangsu Province Key Laboratory for Inflammation and Molecular Drug Target, Medical College of Nantong University, Nantong 226001, China, Centre for Ultrahigh Bandwidth Devices for Optical Systems (CUDOS), Macquarie University, Cognitive Neuroscience Laboratory (CNL), Harvard University, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud University [Nijmegen]-Radboud University [Nijmegen], Icahn School of Medicine at Mount Sinai [New York] (MSSM), The Mind Research Network, Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], Division of Molecular and Cellular Therapeutics, Scottish Association for Marine Science (SAMS), Structural Biology Laboratory, Department of Chemistry, University of York, Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Department of Neurology, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Deparment of Medical Genetics, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Department of Psychiatry, University of Iowa, University of Iowa [Iowa City], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig-Universität Leipzig, Institute of Clinical Chemistry and Laboratory Medicine, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Psychiatric and Neurodevelopmental Genetics Unit, 849 Department of Human Genetics, Institute for Community Medicine, Institute for Energy Systems and Thermodynamics, Renyi Institute, Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam 3000 CB, The Netherlands, Department of Radiology, Erasmus University Medical Centre, Rotterdam 3015 CN, The Netherlands, Vrije Universiteit Amsterdam [Amsterdam] (VU), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Dept of Psychology, Laboratoire de Recherche Magellan, Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut d'Administration des Entreprises (IAE) - Lyon, Institut de Socio-économie des Entreprises et des ORganisations (ISEOR), Institut de socio-économie des entreprises et des organisations, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Centre for Allergy Research, Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Medical University of Łódź (MUL), Psychiatry Institute, Department of Health and Human Services, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia = University of Perugia (UNIPG), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Australian Centre for Research into Injury in Sport and its Prevention, Monash University [Clayton], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, School of Psychology [Nottingham], University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), SickKids - The Hospital for sick children, European Centre for Medium-Range Weather Forecasts (ECMWF), University of Eastern Finland, Centre for Population Health Sciences, Lieber Institute for Brain Development [Baltimore] (LIBD), Johns Hopkins University (JHU), Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz 8010, Austria, Austrian Institute of Technology [Vienna] (AIT), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, INSERM, Neuroepidemiology U708, Bordeaux, France, Karlsruhe Institute of Technology (KIT), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Harvard Medical School [Boston] (HMS), Computer Science and Artificial Intelligence Laboratory [Cambridge] (CSAIL), Massachusetts Institute of Technology (MIT), University of Washington [Seattle], Department of Physics [Stockholm], Stockholm University, Center for Medical Systems Biology, Netherlands Genomics Initiative, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Boston University [Boston] (BU), Groupe d'Imagerie Neurofonctionnelle (GIN - UMR 5296), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., Boston University School of Medicine (BUSM), Laboratoire d'Ingénierie des Matériaux de Bretagne (LIMATB), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of California-University of California, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Gènes, Synapses et Cognition, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), UE 1354 Unité d'expérimentation sur les Ruminants de Theix, Institut National de la Recherche Agronomique (INRA)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Unité d'expérimentation sur les Ruminants de Theix (UE RT), Radboud university [Nijmegen], McGill University, University of Bergen (UIB), Universität Heidelberg [Heidelberg], Beijing Normal University, University of California, University of Bonn, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Department of Neurosciences [San Diego], Department of Cognitive Sciences [San Diego], The Hospital for Sick Children, University of Toronto, Toronto M5G 1X8, Canada, McGill University-McGill University, US 1367 MetaGénoPolis, Institut National de la Recherche Agronomique (INRA)-Département Microbiologie et Chaîne Alimentaire (MICA), Institut National de la Recherche Agronomique (INRA)-MetaGénoPolis (MGP), Yale University School of Medicine, King Faisal Specialist Hospital and Research Centre, Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne 3101, Australia, Department of Genomics, Life & Brain Center, University of Bonn, Bonn D-53127, Germany, University of Oxford [Oxford]-FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Department of Neurology [University of Calgary], Department of Clinical Neuroscience [University of Calgary], University of California [Irvine] (UCI), Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Centre National de la Recherche Scientifique (CNRS)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Universidate de Vigo, Harvard University [Cambridge], Radboud university [Nijmegen]-Radboud university [Nijmegen], Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Centre de Recherche Magellan, Institut d'Administration des Entreprises (IAE) - Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon, Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Università degli Studi di Perugia (UNIPG), Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université de Bretagne Sud (UBS)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), The Alzheimer’s Disease Neuroimaging Initiative, The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital]-University of Oxford [Oxford], Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut Pasteur [Paris], Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University of Oxford [Oxford]- John Radcliffe Hospital [Oxford University Hospital]-FMRIB Centre, Neurology, Psychiatry, Anatomy and neurosciences, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Biological Psychology, Cognitive Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, EMGO+ - Mental Health, Child and Adolescent Psychiatry / Psychology, Epidemiology, Radiology & Nuclear Medicine, Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California, Los Angeles, California, USA, Donders Centre for Neuroscience, Radboud University Nijmegen Medical Centre, MRC- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK, Génétique humaine et Fonctions cognitives - Human Genetics and Cognitive Functions, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Greifswald 17487, Germany, Department of Psychiatry, University Medicine Greifswald, Greifswald 17489, Germany, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands, Brain Research Imaging Centre, University of Edinburgh, Edinburgh EH4 2XU, UK, Department of Computer Science, Lagos State University, Lagos, Nigeria, Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK, Heriot-Watt University [Edinburgh] ( HWU ), Institut National de la Recherche Agronomique ( INRA ) -Physiologie Animale et Systèmes d'Elevage ( PHASE ) -Unité d'expérimentation sur les Ruminants de Theix ( UE RT ), Department of Human Genetics, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo N-0316, Norway, NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo 0424, Norway, Montreal Neurological Institute [Montréal], NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway, Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen 5021, Norway, Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 ( PC2A ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands, International Max Planck Research School for Language Sciences, Nijmegen 6525 XD, The Netherlands, Human Genetics Branch and Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, Bethesda, Maryland 20892, USA, Department of Psychology, Yale University, New Haven, Connecticut 06511, USA, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts 02115, USA, University College of London [London] ( UCL ), Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Center for Neurobehavioral Genetics, University of California, Los Angeles, California 90095, USA, Université de Bonn, Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 HL, The Netherlands, Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh EH10 5HF, UK, Imperial College London-School of public health-MRC-HPA Centre for Environment and Health, Cibersam (Centro Investigación Biomédica en Red Salud Mental), Madrid 28029, Spain, Institut Parisien de Chimie Moléculaire ( IPCM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Centre National de la Recherche Scientifique ( CNRS ), Aging Research Center [Karolinska Institutet] ( ARC ), Max Planck Institute of Psychiatry, Munich 80804, Germany, Multimodal Imaging Laboratory, Department of Neurosciences, University of California, San Diego, California 92093, USA, Department of Cognitive Sciences, University of California, San Diego, California 92161, USA, Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia, Department of Psychology, University of Oslo, Oslo 0373, Norway, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal H3A 2B4, Canada, Molecular and Cellular Therapeutics, The Royal College of Surgeons, Dublin 2, Ireland, Institut National de la Recherche Agronomique ( INRA ) -MetaGénoPolis ( MGP ) -Microbiologie et Chaîne Alimentaire ( MICA ), UCL Institute of Neurology, London, United Kingdom and Epilepsy Society, London WC1N 3BG, UK, Department of Medicine, Imperial College London, London W12 0NN, UK, Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK, Yale School of Medicine, Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut 06106, USA, University College Dublin [Dublin] ( UCD ), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK, Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia, Centre épigénétique et destin cellulaire ( EDC ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), School of public health-Tehran University of Medical Siences, University of New South Wales [Sydney] ( UNSW ), Texas Biomedical Research Institute, San Antonio, Texas 78245, USA, Institute of Neuroscience and Medicine ( INM-1 ), University of Basel ( Unibas ), Cambridge University, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA, University of Texas Health Science Center, San Antonio, Texas 78229, USA, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland 20892, USA, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald 17475, Germany, University Medical Center Groningen, University of Groningen, University of Greifswald, Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA, NICHD Brain and Tissue Bank for Developmental Disorders, University of Maryland Medical School, Baltimore, Maryland 21201, USA, nstitute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK, Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland, Baltimore, Maryland 21201, USA, Department of Pathology and Cell Biology, Columbia University Medical Center, New York 10032, USA, Lymphocyte Cell Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA, University of Oslo ( UiO ) -Institute of Clinical Medicine-Oslo University Hospital, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo ( UiO ) -European Network of Bipolar Research Expert Centers (ENBREC) Group, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin 10117, Germany, Erasmus MC, Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health (NIH), Bethesda, Maryland, USA, Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Central Institute of Mental Health, UMR 1098 Développement et Amélioration des Plantes, Institut National de la Recherche Agronomique ( INRA ) -Université Montpellier 2 - Sciences et Techniques ( UM2 ) -MontpellierSupAgro ( MontpellierSupAgro ) -Génétique et amélioration des plantes ( G.A.P. ) -Développement et Amélioration des Plantes ( DAP ), Laboratory of Neuro Imaging [Los Angeles] ( LONI ), University of California at Los Angeles [Los Angeles] ( UCLA ), Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK, Genentech, South San Francisco, California 94080, USA, Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands, LUMC, Carver College of Medicine, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm SE-141 83, Sweden, Behavioral Epidemiology Section, National Institute on Aging Intramural Research Program, Baltimore, Maryland 20892, USA, Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, UK, Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA, Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA, Centre Interlangues - Texte, Image, Langage ( TIL ), Université de Bourgogne ( UB ), Centre for Ultrahigh Bandwidth Devices for Optical Systems ( CUDOS ), Icahn School of Medicine at Mount Sinai [New York], The Mind Research Network & LBERI, Albuquerque, New Mexico 87106, USA, Department of ECE, University of New Mexico, Albuquerque, New Mexico 87131, USA, Scottish Association for Marine Science ( SAMS ), Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels 1070, Belgium, National Institutes of Health ( NIH ) -National Institute of Mental Health (NIMH), Harvard Medical School [Boston] ( HMS ) -Massachusetts General Hospital [Boston], Department of Psychiatry, University of Iowa, Iowa City, Iowa 52242, USA, Luleå University of Technology ( LUT ), Broad Institute of MIT and Harvard, Massachusetts General Hospital, Vrije Universiteit Amsterdam [Amsterdam] ( VU ), Université Jean Moulin - Lyon III-Institut d'Administration des Entreprises (IAE) - Lyon, Institut de Socio-économie des Entreprises et des ORganisations ( ISEOR ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Laboratoire d'Informatique de Grenoble ( LIG ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Osaka 565-0871, Japan, Karolinska University Hospital (Solna), Medical University of Łódź ( MUL ), National Institutes of Health ( NIH ), University of Perugia, Commonwealth Scientific and Industrial Research Organisation, University Medical Center Utrecht-Brain Center Rudolf Magnus, University of Nottingham, UK ( UON ), McConnell Brain Imaging Centre ( MNI ), The Hospital for sick children [Toronto] ( SickKids ), Department of Medical and Molecular Genetics, King’s College London, London SE1 9RT, UK, European Centre for Medium-Range Weather Forecasts ( ECMWF ), Lieber Institute for Brain Development, Baltimore, Maryland 21205, USA, Departments of Psychiatry, Neurology, Neuroscience and the Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique ( CNRS ), Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, Austrian Institute of Technology [Vienna] ( AIT ), Karlsruhe Institute of Technology ( KIT ), General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA, Department of Radiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA, Computer Science and Artificial Intelligence Laboratory [Cambridge] ( CSAIL ), Massachusetts Institute of Technology ( MIT ), Department of Epidemiology, University of Washington, Seattle, Washington, USA, Department of Neurology, University of Washington, Seattle, Washington, USA, Department of Physics, Stockholm University ( Department of Physics, Stockholm University ), Université de Lille, Sciences Humaines et Sociales, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA, Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA, Groupe d'Imagerie Neurofonctionnelle ( GIN - UMR 5296 ), Service NEUROSPIN ( NEUROSPIN ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ) -Université de Bordeaux ( UB ), Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA, Faculty of Medicine, University of Iceland, Reykjavik, Iceland, Department of Neurology, Boston University School of Medicine, Framingham Heart Study, Boston, MA, Department of Neurology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Laboratoire d'Ingénierie des Matériaux de Bretagne ( LIMATB ), Université de Bretagne Sud ( UBS ) -Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université de Brest ( UBO ) -Université de Brest ( UBO ), King's College, Department of Psychiatry, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, and Broad Institute of © 2012 Nature America, Inc. All rights reserved. Nature Ge N etics aDV a NCE ONLINE PUBLIC a TION 7 l e t t e r s Harvard and MIT, Cambridge, Massachusetts, US
Subjects: CHROMATIN, Male, Netherlands Twin Register (NTR), Aging, Identification, nervous-system, human geography, SEGMENTATION, Caudate nucleus, Apoptosis, Expression, Genome-wide association study, Striatum, Hippocampal formation, Hippocampus, BASAL GANGLIA, 130 000 Cognitive Neurology & Memory, Basal ganglia, genetics [Gene Expression Regulation, Developmental], Hippocampal, Child, anatomy & histology [Skull], Aged, 80 and over, Genetics, Sex Characteristics, KINECTIN, Genome-wide association, Multidisciplinary, Putamen, Brain, Gene Expression Regulation, Developmental, blood, brain, disease incidence, genetic variation, neurology, Organ Size, Human brain, Middle Aged, organization, Magnetic Resonance Imaging, genetics [Genetic Variation], Chromatin, Dynamics, genetics [Membrane Proteins], medicine.anatomical_structure, genetics [Aging], Anatomy & histology, [ SCCO.NEUR ] Cognitive science/Neuroscience, Female, ddc:500, anatomy & histology [Caudate Nucleus], Neuroinformatics, EXPRESSION, Adult, Adolescent, Evolution, anatomy & histology [Hippocampus], ORGANIZATION, genetics [Genetic Loci], Biology, Article, Young Adult, SDG 3 - Good Health and Well-being, Journal Article, medicine, Humans, GENOME-WIDE ASSOCIATION, General, genetics [Apoptosis], Kinectin, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], HIPPOCAMPAL, IDENTIFICATION, genetics [Organ Size], [SCCO.NEUR]Cognitive science/Neuroscience, Skull, segmentation, Genetic Variation, Membrane Proteins, NERVOUS-SYSTEM, anatomy & histology [Putamen], Genetic Loci, KTN1 protein, human, Caudate Nucleus, anatomy & histology [Brain], Neuroscience, Genome-Wide Association Study
Abstract: Contains fulltext : 144426.pdf (Publisher’s version ) (Closed access) Contains fulltext : 144426pre.pdf (Author’s version preprint ) (Open Access) The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 x 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction. 6 p.
Published: 2015

31. Magnetic resonance imaging and the prediction of outcome in first-episode schizophrenia: a review of current evidence and directions for future research

Author: Dazzan, Paola, Arango, Celso, Fleischacker, Wolfgang, Galderisi, Silvana, Glenthøj, Birte, Leucht, Stephan, Meyer-Lindenberg, Andreas, Kahn, Rene, Rujescu, Dan, Sommer, Iris, Winter, Inge, and McGuire, Philip
Subjects: Outcome Assessment (Health Care), brain structure, Schizophrenia, treatment response, Brain, Humans, psychosis, Magnetic Resonance Imaging, OPTiMiSE, MRI
Abstract: Magnetic Resonance Imaging (MRI) measures are promising outcome markers for schizophrenia, since regional frontal and temporal grey matter volumes reductions, and enlargement of the ventricles, have been associated with outcome in this disorder. However, a number of methodological issues have limited the potential clinical utility of these findings. This article reviewed studies that examined brain structure at illness onset as a predictor of outcome, discusses the limitations of the findings, and highlights the challenges that would need to be addressed if structural data are to inform the management of an individual patient.
Published: 2015

32. Altered DLPFC--Hippocampus Connectivity During Working Memory: Independent Replication and Disorder Specificity of a Putative Genetic Risk Phenotype for Schizophrenia.

Author: Schneider, Michael, Walter, Henrik, Moessnang, Carolin, Schäfer, Axel, Erk, Susanne, Mohnke, Sebastian, Romund, Lydia, Garbusow, Maria, Dixson, Luanna, Heinz, Andreas, Romanczuk-Seiferth, Nina, Meyer-Lindenberg, Andreas, and Tost, Heike
Subjects: PSYCHOSES risk factors, GENETICS of schizophrenia, SCHIZOPHRENIA risk factors, BRAIN, HIPPOCAMPUS (Brain), MAGNETIC resonance imaging, BIPOLAR disorder, MEMORY, STATISTICS, PHENOTYPES, DATA analysis
Abstract: Altered connectivity of dorsolateral prefrontal cortex (DLPFC) and hippocampus during working memory is considered an intermediate phenotype for schizophrenia (SCZ), but the relevance for other mental disorders with shared genetic background remains unknown. Here we investigated its presence in unaffected first-degree relatives of patients with bipolar disorder (BD) or major depressive disorder (MDD). Furthermore, we aimed to provide an independent replication of this phenotype in first-degree relatives of SCZ patients. We acquired functional magnetic resonance imaging (fMRI) data from 309 healthy controls and 218 healthy first-degree relatives of index patients with SCZ (n = 62), BD (n = 66) and MDD (n = 90), who completed the n-back working memory paradigm. We observed a significant group effect on DLPFC--hippocampus coupling (PFWE = .031, all P-values region of interest [ROI] corrected). Post hoc comparisons revealed that this effect was driven by the SCZ relatives, who showed a significant increase in the negative functional connectivity of the DLPFC and right hippocampus compared to controls (PFWE = .001), BD relatives (PFWE = .015) and trend-wise also MDD relatives (PFWE = .082). Comparison of BD and MDD relatives to the controls revealed no difference (PFWE- values > .451). Supplementary analyses suggested that the SCZ relatives finding is robust to a range of potential confounds, including structural differences. Our data further support altered DLPFC--hippocampus connectivity during working memory as an intermediate phenotype for SCZ. This suggests that this phenotype is relatively specific to SCZ and does not translate to other genetically related disorders in the mood-psychosis spectrum. [ABSTRACT FROM AUTHOR]
Published: 2017
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33. Association between pubertal stage at first drink and neural reward processing in early adulthood.

Author: Boecker‐Schlier, Regina, Holz, Nathalie E., Hohm, Erika, Zohsel, Katrin, Blomeyer, Dorothea, Buchmann, Arlette F., Baumeister, Sarah, Wolf, Isabella, Esser, Günter, Schmidt, Martin H., Meyer‐Lindenberg, Andreas, Banaschewski, Tobias, Brandeis, Daniel, and Laucht, Manfred
Subjects: PUBERTY, ALCOHOL, ADULT attitudes, REWARD (Psychology), PATHOLOGICAL psychology, AGE distribution, ELECTROENCEPHALOGRAPHY, FRONTAL lobe, LONGITUDINAL method, MAGNETIC resonance imaging, NEUROLOGIC examination, DELAY discounting (Psychology)
Abstract: Puberty is a critical time period during human development. It is characterized by high levels of risk-taking behavior, such as increased alcohol consumption, and is accompanied by various neurobiological changes. Recent studies in animals and humans have revealed that the pubertal stage at first drink (PSFD) significantly impacts drinking behavior in adulthood. Moreover, neuronal alterations of the dopaminergic reward system have been associated with alcohol abuse or addiction. This study aimed to clarify the impact of PSFD on neuronal characteristics of reward processing linked to alcohol-related problems. One hundred sixty-eight healthy young adults from a prospective study covering 25 years participated in a monetary incentive delay task measured with simultaneous EEG-fMRI. PSFD was determined according to the age at menarche or Tanner stage of pubertal development, respectively. Alcohol-related problems in early adulthood were assessed with the Alcohol Use Disorder Identification Test (AUDIT). During reward anticipation, decreased fMRI activation of the frontal cortex and increased preparatory EEG activity (contingent negative variation) occurred with pubertal compared to postpubertal first alcohol intake. Moreover, alcohol-related problems during early adulthood were increased in pubertal compared to postpubertal beginners, which was mediated by neuronal activation of the right medial frontal gyrus. At reward delivery, increased fMRI activation of the left caudate and higher feedback-related EEG negativity were detected in pubertal compared to postpubertal beginners. Together with animal findings, these results implicate PSFD as a potential modulator of psychopathology, involving altered reward anticipation. Both PSFD timing and reward processing might thus be potential targets for early prevention and intervention. [ABSTRACT FROM AUTHOR]
Published: 2017
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34. State-Dependent Cross-Brain Information Flow in Borderline Personality Disorder.

Author: Bilek, Edda, Stößel, Gabriela, Schäfer, Axel, Clement, Laura, Ruf, Matthias, Robnik, Lydia, Neuke, Corinne, Tost, Heike, Kirsch, Peter, Meyer-Lindenberg, Andreas, and Neukel, Corinne
Subjects: BORDERLINE personality disorder, SOCIAL interaction, FUNCTIONAL magnetic resonance imaging, BRAIN imaging, DISEASE remission, BRAIN mapping, CEREBRAL cortex, INTERPERSONAL relations, MAGNETIC resonance imaging, PSYCHOLOGY of movement, CASE-control method
Abstract: Importance: Although borderline personality disorder (BPD)-one of the most common, burdensome, and costly psychiatric conditions-is characterized by repeated interpersonal conflict and instable relationships, the neurobiological mechanism of social interactive deficits remains poorly understood.Objective: To apply recent advancements in the investigation of 2-person human social interaction to investigate interaction difficulties among people with BPD.Design, Setting, and Participants: Cross-brain information flow in BPD was examined from May 25, 2012, to December 4, 2015, in pairs of participants studied in 2 linked functional magnetic resonance imaging scanners in a university setting. Participants performed a joint attention task. Each pair included a healthy control individual (HC) and either a patient currently fulfilling DSM-IV criteria for BPD (cBPD) (n = 23), a patient in remission for 2 years or more (rBPD) (n = 17), or a second HC (n = 20). Groups were matched for age and educational level.Main Outcomes and Measures: A measure of cross-brain neural coupling was computed following previously published work to indicate synchronized flow between right temporoparietal junction networks (previously shown to host neural coupling abilities in health). This measure is derived from an independent component analysis contrasting the time courses of components between pairs of truly interacting participants compared with bootstrapped control pairs.Results: In the sample including 23 women with cBPD (mean [SD] age, 26.8 [5.7] years), 17 women with rBPD (mean [SD] age, 28.5 [4.3] years), and 80 HCs (mean [SD] age, 24.0 [3.4] years]) investigated as dyads, neural coupling was found to be associated with disorder state (η2 = 0.17; P = .007): while HC-HC pairs showed synchronized neural responses, cBPD-HC pairs exhibited significantly lower neural coupling just above permutation-based data levels (η2 = 0.16; P = .009). No difference was found between neural coupling in rBPD-HC and HC-HC pairs. The neural coupling in patients was significantly associated with childhood adversity (T = 2.3; P = .03).Conclusions and Relevance: This study provides a neural correlate for a core diagnostic and clinical feature of BPD. Results indicate that hyperscanning may deliver state-associated biomarkers for clinical social neuroscience. In addition, at least some neural deficits of BPD may be more reversible than is currently assumed for personality disorders. [ABSTRACT FROM AUTHOR]
Published: 2017
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35. Sex-Dependent Association of Perigenual Anterior Cingulate Cortex Volume and Migration Background, an Environmental Risk Factor for Schizophrenia.

Author: Akdeniz, Ceren, Schäfer, Axel, Streit, Fabian, Haller, Leila, Wüst, Stefan, Kirsch, Peter, Tost, Heike, and Meyer-Lindenberg, Andreas
Subjects: SCHIZOPHRENIA risk factors, CEREBRAL cortex, EMIGRATION & immigration, MAGNETIC resonance imaging, NEURORADIOLOGY, SEX distribution, ENVIRONMENTAL exposure, SOCIOECONOMIC factors, CROSS-sectional method, GRAY matter (Nerve tissue)
Abstract: Migration status is one of the best-established risk factors for schizophrenia. An increase in risk is observed in both first- and second-generation immigrants, with a varying magnitude depending on the ethnic background of the individuals. The underlying mechanisms for the increased risk are only recently coming into focus. A causal role for social stress has been widely proposed, and recent work indicated altered neural stress processing in the perigenual anterior cingulate cortex (pACC) in migrants. Since previous work shows that social stress may lead to enduring changes in the gray matter volume of vulnerable brain regions, we investigated the impact of migration background on brain structure. We studied healthy young adults (N = 124), native Germans and second-generation migrants, using whole-brain structural magnetic resonance imaging. Groups were matched for a broad range of sociodemographic characteristics including age, gender, urban exposure, and education. We found a significant group by sex interaction effect in pACC gray matter volume, which was reduced in males with migration background only. This mirrors previous findings in urban upbringing, another risk factor for schizophrenia. Our results provide convergent evidence for an impact of environmental risk factors linked to schizophrenia on gray matter volume and extend prior data by highlighting the possibility that the pACC structure may be particularly sensitive to the convergent risk factors linked to schizophrenia. [ABSTRACT FROM AUTHOR]
Published: 2017
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36. Cortical surface-based threshold-free cluster enhancement and cortexwise mediation.

Author: Lett, Tristram A., Waller, Lea, Tost, Heike, Veer, Ilya M., Nazeri, Arash, Erk, Susanne, Brandl, Eva J., Charlet, Katrin, Beck, Anne, Vollstädt‐Klein, Sabine, Jorde, Anne, Kiefer, Falk, Heinz, Andreas, Meyer‐Lindenberg, Andreas, Chakravarty, M. Mallar, and Walter, Henrik
Abstract: Threshold-free cluster enhancement (TFCE) is a sensitive means to incorporate spatial neighborhood information in neuroimaging studies without using arbitrary thresholds. The majority of methods have applied TFCE to voxelwise data. The need to understand the relationship among multiple variables and imaging modalities has become critical. We propose a new method of applying TFCE to vertexwise statistical images as well as cortexwise (either voxel- or vertexwise) mediation analysis. Here we present TFCE_mediation, a toolbox that can be used for cortexwise multiple regression analysis with TFCE, and additionally cortexwise mediation using TFCE. The toolbox is open source and publicly available (). We validated TFCE_mediation in healthy controls from two independent multimodal neuroimaging samples ( N = 199 and N = 183). We found a consistent structure-function relationship between surface area and the first independent component (IC1) of the N-back task, that white matter fractional anisotropy is strongly associated with IC1 N-back, and that our voxel-based results are essentially identical to FSL randomise using TFCE (all PFWE<0.05). Using cortexwise mediation, we showed that the relationship between white matter FA and IC1 N-back is mediated by surface area in the right superior frontal cortex ( PFWE < 0.05). We also demonstrated that the same mediation model is present using vertexwise mediation ( PFWE < 0.05). In conclusion, cortexwise analysis with TFCE provides an effective analysis of multimodal neuroimaging data. Furthermore, cortexwise mediation analysis may identify or explain a mechanism that underlies an observed relationship among a predictor, intermediary, and dependent variables in which one of these variables is assessed at a whole-brain scale. Hum Brain Mapp 38:2795-2807, 2017. © 2017 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]
Published: 2017
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37. Dynamic brain network reconfiguration as a potential schizophrenia genetic risk mechanism modulated by NMDA receptor function.

Author: Braun, Urs, Schäfer, Axel, Bassett, Danielle S., Rausch, Franziska, Schweiger, Janina I., Bilek, Edda, Erk, Susanne, Romanczuk-Seiferth, Nina, Grimm, Oliver, Geiger, Lena S., Haddad, Leila, Otto, Kristina, Mohnke, Sebastian, Heinz, Andreas, Zink, Mathias, Walter, Henrik, Schwarz, Emanuel, Meyer-Lindenberg, Andreas, and Tost, Heike
Subjects: SCHIZOPHRENIA, METHYL aspartate receptors, NEUROSCIENCES, MAGNETIC resonance imaging, PHARMACOLOGY
Abstract: Schizophrenia is increasingly recognized as a disorder of distributed neural dynamics, but the molecular and genetic contributions are poorly understood. Recent work highlights a role for altered N-methyl-D-aspartate (NMDA) receptor signaling and related impairments in the excitation-inhibitory balance and synchrony of large-scale neural networks. Here, we combined a pharmacological intervention with novel techniques from dynamic network neuroscience applied to functional magnetic resonance imaging (fMRI) to identify alterations in the dynamic reconfiguration of brain networks related to schizophrenia genetic risk and NMDA receptor hypofunction.We quantified "network flexibility," a measure of the dynamic reconfiguration of the community structure of time-variant brain networks during working memory performance. Comparing 28 patients with schizophrenia, 37 unaffected first-degree relatives, and 139 healthy controls, we detected significant differences in network flexibility [F(2,196) = 6.541, P = 0.002] in a pattern consistent with the assumed genetic risk load of the groups (highest for patients, intermediate for relatives, and lowest for controls). In an observer-blinded, placebo-controlled, randomized, cross-over pharmacological challenge study in 37 healthy controls, we further detected a significant increase in network flexibility as a result of NMDA receptor antagonism with 120 mg dextromethorphan [F(1,34) = 5.291, P = 0.028]. Our results identify a potential dynamic network intermediate phenotype related to the genetic liability for schizophrenia that manifests as altered reconfiguration of brain networks during working memory. The phenotype appears to be influenced by NMDA receptor antagonism, consistent with a critical role for glutamate in the temporal coordination of neural networks and the pathophysiology of schizophrenia. [ABSTRACT FROM AUTHOR]
Published: 2016
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38. Neural Correlates of the Cortisol Awakening Response in Humans.

Author: Boehringer, Andreas, Tost, Heike, Haddad, Leila, Lederbogen, Florian, Wüst, Stefan, Schwarz, Emanuel, and Meyer-Lindenberg, Andreas
Subjects: HYDROCORTISONE, ENVIRONMENTAL risk, MAGNETIC resonance imaging, PATHOLOGICAL psychology, NEUROLOGY
Abstract: The cortisol rise after awakening (cortisol awakening response, CAR) is a core biomarker of hypothalamic-pituitary-adrenal (HPA) axis regulation related to psychosocial stress and stress-related psychiatric disorders. However, the neural regulation of the CAR has not been examined in humans. Here, we studied neural regulation related to the CAR in a sample of 25 healthy human participants using an established psychosocial stress paradigm together with multimodal functional and structural (voxel-based morphometry) magnetic resonance imaging. Across subjects, a smaller CAR was associated with reduced grey matter volume and increased stress-related brain activity in the perigenual ACC, a region which inhibits HPA axis activity during stress that is implicated in risk mechanisms and pathophysiology of stress-related mental diseases. Moreover, functional connectivity between the perigenual ACC and the hypothalamus, the primary controller of HPA axis activity, was associated with the CAR. Our findings provide support for a role of the perigenual ACC in regulating the CAR in humans and may aid future research on the pathophysiology of stress-related illnesses, such as depression, and environmental risk for illnesses such as schizophrenia. [ABSTRACT FROM AUTHOR]
Published: 2015
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39. Studying Developmental Psychopathology Related to Psychotic Disorders--Challenges and Paradigms in Human Studies.

Author: Meyer-Lindenberg, Andreas
Subjects: ELECTROPHYSIOLOGY, MAGNETIC resonance imaging, PARADIGMS (Social sciences), PATHOLOGICAL psychology, PSYCHOSES, PSYCHOLOGICAL factors
Published: 2017
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40. Reduced activation in the ventral striatum during probabilistic decision-making in patients in an at-risk mental state.

Author: Rausch, Franziska, Mier, Daniela, Eifler, Sarah, Fenske, Sabrina, Schirmbeck, Frederike, Englisch, Susanne, Schilling, Claudia, Meyer-Lindenberg, Andreas, Kirsch, Peter, and Zink, Mathias
Subjects: BRAIN physiology, MENTAL illness risk factors, ACADEMIC medical centers, COGNITION disorders, STATISTICAL correlation, DECISION making, FISHER exact test, MAGNETIC resonance imaging, PSYCHOLOGICAL tests, QUESTIONNAIRES, RESEARCH funding, SCHIZOPHRENIA, STATISTICS, T-test (Statistics), STATISTICAL power analysis, DATA analysis, CASE-control method, DATA analysis software, DESCRIPTIVE statistics
Abstract: Background: Patients with schizophrenia display metacognitive impairments, such as hasty decision-making during probabilistic reasoning -- the "jumping to conclusion" bias (JTC). Our recent fMRI study revealed reduced activations in the right ventral striatum (VS) and the ventral tegmental area (VTA) to be associated with decision-making in patients with schizophrenia. It is unclear whether these functional alterations occur in the at-risk mental state (ARMS). Methods: We administered the classical beads task and fMRI among ARMS patients and healthy controls matched for age, sex, education and premorbid verbal intelligence. None of the ARMS patients was treated with antipsychotics. Both tasks request probabilistic decisions after a variable amount of stimuli. We evaluated activation during decision-making under certainty versus uncertainty and the process of final decision-making. Results: We included 24 AMRS patients and 24 controls in our study. Compared with controls, ARMS patients tended to draw fewer beads and showed significantly more JTC bias in the classical beads task, mirroring findings in patients with schizophrenia. During fMRI, ARMS patients did not demonstrate JTC bias on the behavioural level, but showed a significant hypoactivation in the right VS during the decision stage. Limitations: Owing to the cross-sectional design of the study, results are constrained to a better insight into the neurobiology of risk constellations, but not pre-psychotic stages. Nine of the ARMS patients were treated with antidepressants and/or lorazepam. Conclusion: As in patients with schizophrenia, a striatal hypoactivation was found in ARMS patients. Confounding effects of antipsychotic medication can be excluded. Our findings indicate that error prediction signalling and reward anticipation may be linked to striatal dysfunction during prodromal stages and should be examined for their utility in predicting transition risk. [ABSTRACT FROM AUTHOR]
Published: 2015
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41. Increased orbitofrontal cortex activation associated with "pro-obsessive" antipsychotic treatment in patients with schizophrenia.

Author: Schirmbeck, Frederike, Mier, Daniela, Esslinger, Christine, Rausch, Franziska, Englisch, Susanne, Eifler, Sarah, Meyer-Lindenberg, Andreas, Kirsch, Peter, and Zink, Mathias
Subjects: BRAIN physiology, CEREBRAL cortex, OBSESSIVE-compulsive disorder, DRUG therapy for schizophrenia, ANALYSIS of covariance, ANTIPSYCHOTIC agents, CHI-squared test, GOODNESS-of-fit tests, MAGNETIC resonance imaging, PSYCHOLOGICAL tests, RESEARCH funding, T-test (Statistics), WECHSLER Adult Intelligence Scale, EFFECT sizes (Statistics), DESCRIPTIVE statistics, MANN Whitney U Test, MENTAL illness risk factors
Abstract: Background: Patients with schizophrenia have an approximately 10-fold higher risk for obsessive-compulsive symptoms (OCS) than the general population. A large subgroup seems to experience OCS as a consequence of second-generation antipsychotic agents (SGA), such as clozapine. So far little is known about underlying neural mechanisms. Methods: To investigate the role of SGA treatment on neural processing related to OCS in patients with schizophrenia, we stratified patients according to their monotherapy into 2 groups (group I: clozapine or olanzapine; group II: amisulpride or aripiprazole). We used an fMRI approach, applying a go/no-go task assessing inhibitory control and an n-back task measuring working memory. Results: We enrolled 21 patients in group I and 19 patients in group II. Groups did not differ regarding age, sex, education or severity of psychotic symptoms. Frequency and severity of OCS were significantly higher in group I and were associated with pronounced deficits in specific cognitive abilities. Whereas brain activation patterns did not differ during working memory, group I showed significantly increased activation in the orbitofrontal cortex (OFC) during response inhibition. Alterations in OFC activation were associated with the severity of obsessions and mediated the association between SGA treatment and co-occurring OCS on a trend level. Limitations: The main limitation of this study is its cross-sectional design. Conclusion: To our knowledge, this is the first imaging study conducted to elucidate SGA effects on neural systems related to OCS. We propose that alterations in brain functioning reflect a pathogenic mechanism in the development of SGA-induced OCS in patients with schizophrenia. Longitudinal studies and randomized interventions are needed to prove the suggested causal interrelations. [ABSTRACT FROM AUTHOR]
Published: 2015
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42. Brain Structure Correlates of Urban Upbringing, an Environmental Risk Factor for Schizophrenia.

Author: Haddad, Leila, Schäfer, Axel, Streit, Fabian, Lederbogen, Florian, Grimm, Oliver, Wüst, Stefan, Deuschle, Michael, Kirsch, Peter, Tost, Heike, and Meyer-Lindenberg, Andreas
Subjects: BRAIN physiology, SCHIZOPHRENIA risk factors, ANALYSIS of variance, MAGNETIC resonance imaging, METROPOLITAN areas, RESEARCH funding, PSYCHOLOGICAL stress, DATA analysis software
Abstract: Urban upbringing has consistently been associated with schizophrenia, but which specific environmental exposures are reflected by this epidemiological observation and how they impact the developing brain to increase risk is largely unknown. On the basis of prior observations of abnormal functional brain processing of social stress in urban-born humans and preclinical evidence for enduring structural brain effects of early social stress, we investigated a possible morphological correlate of urban upbringing in human brain. In a sample of 110 healthy subjects studied with voxel-based morphometry, we detected a strong inverse correlation between early-life urbanicity and gray matter (GM) volume in the right dorsolateral prefrontal cortex (DLPFC, Brodmann area 9). Furthermore, we detected a negative correlation of early-life urbanicity and GM volumes in the perigenual anterior cingulate cortex (pACC) in men only. Previous work has linked volume reductions in the DLPFC to the exposure to psychosocial stress, including stressful experiences in early life. Besides, anatomical and functional alterations of this region have been identified in schizophrenic patients and high-risk populations. Previous data linking functional hyperactivation of pACC during social stress to urban upbringing suggest that the present interaction effect in brain structure might contribute to an increased risk for schizophrenia in males brought up in cities. Taken together, our results suggest a neural mechanism by which early-life urbanicity could impact brain architecture to increase the risk for schizophrenia. [ABSTRACT FROM PUBLISHER]
Published: 2015
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43. Hippocampal and Frontolimbic Function as Intermediate Phenotype for Psychosis: Evidence from Healthy Relatives and a Common Risk Variant in CACNA1C.

Author: Erk, Susanne, Meyer-Lindenberg, Andreas, Schmierer, Phöbe, Mohnke, Sebastian, Grimm, Oliver, Garbusow, Maria, Haddad, Leila, Poehland, Lydia, Mühleisen, Thomas W., Witt, Stephanie H., Tost, Heike, Kirsch, Peter, Romanczuk-Seiferth, Nina, Schott, Björn H., Cichon, Sven, Nöthen, Markus M., Rietschel, Marcella, Heinz, Andreas, and Walter, Henrik
Subjects: *MENTAL illness, *PSYCHOSES, *HIPPOCAMPUS (Brain), *PHENOTYPES, *CALCIUM channels, *CINGULATE cortex, *MAGNETIC resonance imaging
Abstract: Background Variation in CACNA1C has consistently been associated with psychiatric disease in genome-wide association studies. We have previously shown that healthy carriers of the CACNA1C rs1006737 risk variant exhibit hippocampal and perigenual anterior cingulate (pgACC) dysfunction during episodic memory recall. To test whether this brain systems-level abnormality is a potential intermediate phenotype for psychiatric disorder, we studied unaffected relatives of patients with bipolar disorder, major depression, and schizophrenia. Methods The study population comprised 188 healthy first-degree relatives of patients with bipolar disorder ( n = 59), major depression ( n = 73), and schizophrenia ( n = 56) and 110 comparison subjects from our discovery study who were genotyped for rs1006737 and underwent functional magnetic resonance imaging while performing an episodic memory task and psychological testing. Group comparisons were analyzed using SPM8 and PASW Statistics 20. Results Similar to risk allele carriers in the discovery sample, relatives of index patients exhibited hippocampal and pgACC dysfunction as well as increased scores in depression and anxiety measures, correlating negatively with hippocampal activation. Carrying the rs1006737 risk variant resulted in a stronger decrease of hippocampal and pgACC activation in relatives, indicating an additive effect of CACNA1C variation on familial risk. Conclusions Our findings implicate abnormal perigenual and hippocampal activation as a promising intermediate phenotype for psychiatric disease and suggest a pathophysiologic mechanism conferred by a CACNA1C variant being implicated in risk for symptom dimensions shared among bipolar disorder, major depression, and schizophrenia. [ABSTRACT FROM AUTHOR]
Published: 2014
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44. Progress in sensorimotor neuroscience of schizophrenia spectrum disorders: Lessons learned and future directions.

Author: Hirjak, Dusan, Meyer-Lindenberg, Andreas, Sambataro, Fabio, Fritze, Stefan, Kukovic, Jacqueline, Kubera, Katharina M., and Wolf, Robert C.
Subjects: *MAGNETIC resonance imaging, *CLINICAL neurosciences, *NEUROSCIENCES, *MOVEMENT disorders, *SCHIZOPHRENIA
Abstract: The number of neuroimaging studies on movement disorders, sensorimotor, and psychomotor functioning in schizophrenia spectrum disorders (SSD) has steadily increased over the last two decades. Accelerated by the addition of the "sensorimotor domain" to the Research Domain Criteria (RDoC) framework in January 2019, neuroscience research on the role of sensorimotor dysfunction in SSD has gained greater scientific and clinical relevance. To draw attention to recent rapid progress in the field, we performed a triennial systematic review (PubMed search from January 1st, 2018 through December 31st, 2020), in which we highlight recent neuroimaging findings and discuss methodological pitfalls as well as challenges for future research. The identified magnetic resonance imaging (MRI) studies suggest that sensorimotor abnormalities in SSD are related to cerebello-thalamo-cortico-cerebellar network dysfunction. Longitudinal and interventional studies highlight the translational potential of the sensorimotor domain as putative biomarkers for treatment response and as targets for non-invasive neurostimulation techniques in SSD. • Sensorimotor neuroscience is growing rapidly. • CTCC dysfunction might lead to sensorimotor abnormalities in SSD. • Sensorimotor neuroscience exhibits diagnostic and therapeutic relevance. [ABSTRACT FROM AUTHOR]
Published: 2021
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45. Microstructural white matter biomarkers of symptom severity and therapy outcome in catatonia: Rationale, study design and preliminary clinical data of the whiteCAT study.

Author: Hirjak, Dusan, Brandt, Geva A., Peretzke, Robin, Fritze, Stefan, Meyer-Lindenberg, Andreas, Maier-Hein, Klaus H., and Neher, Peter F.
Subjects: *WHITE matter (Nerve tissue), *CATATONIA, *MACHINE learning, *DIFFUSION magnetic resonance imaging, *MAGNETIC resonance imaging
Abstract: The number of magnetic resonance imaging (MRI) studies on neuronal correlates of catatonia has dramatically increased in the last 10 years, but conclusive findings on white matter (WM) tracts alterations underlying catatonic symptoms are still lacking. Therefore, we conduct an interdisciplinary longitudinal MRI study (whiteCAT) with two main objectives: First, we aim to enroll 100 psychiatric patients with and 50 psychiatric patients without catatonia according to ICD-11 who will undergo a deep phenotyping approach with an extensive battery of demographic, psychopathological, psychometric, neuropsychological, instrumental and diffusion MRI assessments at baseline and 12 weeks follow-up. So far, 28 catatonia patients and 40 patients with schizophrenia or other primary psychotic disorders or mood disorders without catatonia have been studied cross-sectionally. 49 out of 68 patients have completed longitudinal assessment, so far. Second, we seek to develop and implement a new method for semi-automatic fiber tract delineation using active learning. By training supportive machine learning algorithms on the fly that are custom tailored to the respective analysis pipeline used to obtain the tractogram as well as the WM tract of interest, we plan to streamline and speed up this tedious and error-prone task while at the same time increasing reproducibility and robustness of the extraction process. The goal is to develop robust neuroimaging biomarkers of symptom severity and therapy outcome based on WM tracts underlying catatonia. If our MRI study is successful, it will be the largest longitudinal study to date that has investigated WM tracts in catatonia patients. [ABSTRACT FROM AUTHOR]
Published: 2024
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46. Structural alterations of amygdala and hypothalamus contribute to catatonia.

Author: Fritze, Stefan, Brandt, Geva A., Kubera, Katharina M., Schmitgen, Mike M., Northoff, Georg, Geiger-Primo, Lena S., Tost, Heike, Meyer-Lindenberg, Andreas, Wolf, Robert C., and Hirjak, Dusan
Subjects: *CATATONIA, *HYPOTHALAMUS, *LIMBIC system, *AMYGDALOID body, *PSYCHIATRIC rating scales, *MAGNETIC resonance imaging
Abstract: At present, current diagnostic criteria and systems neglect affective symptom expression in catatonia. This potentially serious omission could explain why putative contributions of limbic system structures, such as amygdala, hippocampus or hypothalamus, to catatonia in schizophrenia spectrum disorders (SSD) have been scarcely investigated so far. To determine whether topographical alterations of the amygdala, hippocampus and hypothalamus contribute to catatonia in SSD patients, we conducted structural magnetic resonance imaging (MRI) of SSD patients with (SSD-Cat, n = 30) and without (SSD-nonCat, n = 28) catatonia as defined by a Northoff Catatonia Rating Scale (NCRS) total score of ≥3 and =0, respectively, in comparison with healthy controls (n = 20). FreeSurfer v7.2 was used for automated segmentation of the amygdala and its 9 nuclei, hippocampus and its 21 subfields and hypothalamus and its associated 5 subunits. SSD-Cat had significantly smaller anterior inferior hypothalamus, cortical nucleus of amygdala, and hippocampal fimbria volumes when compared to SSD-nonCat. SSD-Cat had significantly smaller amygdala, hippocampus and hypothalamus whole and subunit volumes when compared to healthy controls. In SSD-Cat according to DSM-IV-TR (n = 44), we identified positive correlations between Brief Psychiatric Rating Scale (BPRS) item #2 (reflecting anxiety) and respective amygdala nuclei as well as negative correlation between NCRS behavioral score and hippocampus subiculum head. The lower volumes of respective limbic structures involved in affect regulation may point towards central affective pathomechanisms in catatonia. [ABSTRACT FROM AUTHOR]
Published: 2024
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47. Psychomotor slowing in schizophrenia is associated with cortical thinning of primary motor cortex: A three cohort structural magnetic resonance imaging study.

Author: Fritze, Stefan, Brandt, Geva A., Benedyk, Anastasia, Moldavski, Alexander, Geiger-Primo, Lena S., Andoh, Jamila, Volkmer, Sebastian, Braun, Urs, Kubera, Katharina M., Wolf, Robert C., von der Goltz, Christoph, Schwarz, Emanuel, Meyer-Lindenberg, Andreas, Tost, Heike, and Hirjak, Dusan
Subjects: *CEREBRAL cortical thinning, *MAGNETIC resonance imaging, *FRONTAL lobe, *DIAGNOSTIC imaging, *MOTOR cortex, *SCHIZOPHRENIA
Abstract: • PANSS G#7 and TMT-B have a surrogate value for psychomotor slowing in SZ. • Primary motor cortex thinning contribute to psychomotor slowing in SZ. • Cortical rather than subcortical regions contribute to psychomotor slowing in SZ. Psychomotor slowing (PS) is characterized by slowed movements and lower activity levels. PS is frequently observed in schizophrenia (SZ) and distressing because it impairs performance of everyday tasks and social activities. Studying brain topography contributing to PS in SZ can help to understand the underlying neurobiological mechanisms as well as help to develop more effective treatments that specifically target affected brain areas. Here, we conducted structural magnetic resonance imaging (sMRI) of three independent cohorts of right-handed SZ patients (SZ#1: n = 72, SZ#2: n = 37, SZ#3: n = 25) and age, gender and education matched healthy controls (HC) (HC#1: n = 40, HC#2: n = 37, HC#3: n = 38). PS severity in the three SZ cohorts was determined using the Positive and Negative Syndrome Scale (PANSS) item #G7 (motor retardation) and Trail-Making-Test B (TMT-B). FreeSurfer v7.2 was used for automated parcellation and segmentation of cortical and subcortical regions. SZ#1 patients showed reduced cortical thickness in right precentral gyrus (M1; p = 0.04; Benjamini-Hochberg [BH] corr.). In SZ#1, cortical thinning in right M1 was associated with PANSS item #G7 (p = 0.04; BH corr.) and TMT-B performance (p = 0.002; BH corr.). In SZ#1, we found a significant correlation between PANSS item #G7 and TMT-B (p = 0.005, ρ =0.326). In conclusion, PANSS G#7 and TMT-B might have a surrogate value for predicting PS in SZ. Cortical thinning of M1 rather than alterations of subcortical structures may point towards cortical pathomechanism underlying PS in SZ. [ABSTRACT FROM AUTHOR]
Published: 2023
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48. Transdiagnostic Prediction of Affective, Cognitive, and Social Function Through Brain Reward Anticipation in Schizophrenia, Bipolar Disorder, Major Depression, and Autism Spectrum Diagnoses

Author: Carolin Wackerhagen, Heike Tost, Andreas Meyer-Lindenberg, Kristina Schwarz, Sarah Baumeister, Michael M. Plichta, Janina I. Schweiger, Henrik Walter, Carolin Moessnang, Susanne Erk, Tobias Banaschewski, Daniel Brandeis, University of Zurich, and Meyer-Lindenberg, Andreas
Subjects: Male, Bipolar Disorder, Autism Spectrum Disorder, salience, Executive Function, 2738 Psychiatry and Mental Health, 0302 clinical medicine, Prospective Studies, 10064 Neuroscience Center Zurich, Expectancy theory, fMRI, Cognition, Middle Aged, 10058 Department of Child and Adolescent Psychiatry, Magnetic Resonance Imaging, 3. Good health, Psychosocial Functioning, Psychiatry and Mental health, medicine.anatomical_structure, Autism spectrum disorder, transdiagnostic, 10076 Center for Integrative Human Physiology, Major depressive disorder, Female, Brain stimulation reward, Psychology, Clinical psychology, Adult, AcademicSubjects/MED00810, 610 Medicine & health, dimensional, reward anticipation, ventral striatum, Young Adult, 03 medical and health sciences, Reward, medicine, Humans, Cognitive Dysfunction, Affective Symptoms, Bipolar disorder, Depressive Disorder, Major, Ventral striatum, Anticipation, Psychological, medicine.disease, 030227 psychiatry, Schizophrenia, Autism, Nerve Net, 030217 neurology & neurosurgery, Regular Articles
Abstract: The relationship between transdiagnostic, dimensional, and categorical approaches to psychiatric nosology is under intense debate. To inform this discussion, we studied neural systems linked to reward anticipation across a range of disorders and behavioral dimensions. We assessed brain responses to reward expectancy in a large sample of 221 participants, including patients with schizophrenia (SZ; n = 27), bipolar disorder (BP; n = 28), major depressive disorder (MD; n = 31), autism spectrum disorder (ASD; n = 25), and healthy controls (n = 110). We also characterized all subjects with an extensive test battery from which a cognitive, affective, and social functioning factor was constructed. These factors were subsequently related to functional responses in the ventral striatum (vST) and neural networks linked to it. We found that blunted vST responses were present in SZ, BP, and ASD but not in MD. Activation within the vST predicted individual differences in affective, cognitive, and social functioning across diagnostic boundaries. Network alterations extended beyond the reward network to include regions implicated in executive control. We further confirmed the robustness of our results in various control analyses. Our findings suggest that altered brain responses during reward anticipation show transdiagnostic alterations that can be mapped onto dimensional measures of functioning. They also highlight the role of executive control of reward and salience signaling in the disorders we study and show the power of systems-level neuroscience to account for clinically relevant behaviors., Schizophrenia Bulletin, 46 (3), ISSN:0586-7614, ISSN:1745-1701
Published: 2019

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