23 results on '"Eisenacher, S"'
Search Results
2. Common brain disorders are associated with heritable patterns of apparent aging of the brain
- Author
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Kaufmann, T., van der Meer, D., Doan, N. T., Schwarz, E., Lund, M. J., Agartz, I., Alnaes, D., Barch, D. M., Baur-Streubel, R., Bertolino, A., Bettella, F., Beyer, M. K., Boen, E., Borgwardt, S., Brandt, C. L., Buitelaar, J., Celius, E. G., Cervenka, S., Conzelmann, A., Cordova-Palomera, A., Dale, A. M., de Quervain, D. J. F., Carlo, P. D., Djurovic, S., Dorum, E. S., Eisenacher, S., Elvsashagen, T., Espeseth, T., Fatouros-Bergman, H., Flyckt, L., Franke, B., Frei, O., Haatveit, B., Haberg, A. K., Harbo, H. F., Hartman, C. A., Heslenfeld, D., Hoekstra, P. J., Hogestol, E. A., Jernigan, T. L., Jonassen, R., Jonsson, E. G., Farde, L., Engberg, G., Erhardt, S., Schwieler, L., Piehl, F., Collste, K., Victorsson, P., Malmqvist, A., Hedberg, M., Orhan, F., Kirsch, P., Kloszewska, I., Kolskar, K. K., Landro, N. I., Hellard, S. L., Lesch, K. -P., Lovestone, S., Lundervold, A., Lundervold, A. J., Maglanoc, L. A., Malt, U. F., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Moberget, T., Norbom, L. B., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Papalino, M., Papassotiropoulos, A., Pauli, P., Pergola, G., Persson, K., Richard, G., Rokicki, J., Sanders, A. -M., Selbaek, G., Shadrin, A. A., Smeland, O. B., Soininen, H., Sowa, P., Steen, V. M., Tsolaki, M., Ulrichsen, K. M., Vellas, B., Wang, L., Westman, E., Ziegler, G. C., Zink, M., Andreassen, O. A., Westlye, L. T., Le Hellard, S., Di Carlo, P., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), General Paediatrics, ARD - Amsterdam Reproduction and Development, Pediatric surgery, Psychiatrie & Neuropsychologie, RS: MHeNs - R3 - Neuroscience, and RS: MHeNs - R2 - Mental Health
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0301 basic medicine ,Brain age gap, brain disorders, genetic architecture, pleiotropy ,Male ,Aging ,Schizophrenia/genetics ,LOCI ,Genome-wide association study ,Neuropsychological Tests ,0302 clinical medicine ,80 and over ,Brain age gap ,Aging/genetics ,ALZHEIMERS ,Child ,Aged, 80 and over ,Brain Diseases ,Sex Characteristics ,General Neuroscience ,Mental Disorders ,Brain ,MULTIPLE-SCLEROSIS ,brain disorders ,Middle Aged ,Magnetic Resonance Imaging ,3. Good health ,Schizophrenia ,Child, Preschool ,Female ,Alzheimer's disease ,Neurovetenskaper ,Algorithms ,MRI ,Adult ,Adolescent ,Brain Diseases/diagnostic imaging ,Brain Structure and Function ,Mental Disorders/diagnostic imaging ,Biology ,Article ,03 medical and health sciences ,Young Adult ,AGE ,pleiotropy ,Genetic architecture ,Genetic Pleiotropy ,medicine ,Humans ,Preschool ,Brain disorders ,Aged ,Pleiotropy ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Brain age gaps ,Multiple sclerosis ,Neurosciences ,Infant ,medicine.disease ,Brain/diagnostic imaging ,genetic architecture ,030104 developmental biology ,Pleiotropy (drugs) ,Neuroscience ,030217 neurology & neurosurgery ,Genome-Wide Association Study - 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. The author list between I.A. and M.Z. is in alphabetic order. The authors were funded by the Research Council of Norway (276082 LifespanHealth (T.K.), 213837 (O.A.A), 223273 NORMENT (O.A.A.), 204966 (L.T.W.), 229129 (O.A.A.), 249795 (L.T.W.), 273345 (L.T.W.) and 283798 SYNSCHIZ (O.A.A.)), the South-Eastern Norway Regional Health Authority (2013-123 (O.A.A.), 2014-097 (L.T.W.), 2015-073 (L.T.W.) and 2016083 (L.T.W.)), Stiftelsen Kristian Gerhard Jebsen (SKGJ-MED-008), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC Starting Grant, Grant agreement No. 802998 BRAINMINT (L.T.W.)), NVIDIA Corporation GPU Grant (T.K.), and the European Commission 7th Framework Programme (602450, IMAGEMEND (A.M.-L.)).
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- 2019
- Full Text
- View/download PDF
3. The genetic architecture of human brainstem structures and their involvement in common brain disorders
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Elvsåshagen, T., Bahrami, S., Meer, D. van der, Agartz, I., Alnæs, D., Barch, D.M., Baur-Streubel, R., Bertolino, A., Beyer, M.K., Blasi, G., Borgwardt, S., Boye, B., Buitelaar, J.K., Bøen, E., Celius, E.G., Cervenka, S., Conzelmann, A., Coynel, D., Carlo, P. di, Djurovic, S., Eisenacher, S., Espeseth, T., Fatouros-Bergman, H., Flyckt, L., Franke, B., Frei, O., Gelao, B., Harbo, H.F., Hartman, Catharina A., Håberg, A., Heslenfeld, D., Hoekstra, P.J., Høgestøl, E.A., Jonassen, R., Jönsson, E.G., Kirsch, P., Kłoszewska, I., Lagerberg, T.V., Landrø, N.I., Hellard, S. Le, Lesch, K.P., Maglanoc, L.A., Malt, U.F., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Moberget, T., Nordvik, J.E., Nyberg, L., Connell, K.S.O., Oosterlaan, J., Papalino, M., Papassotiropoulos, A., Pauli, P., Pergola, G., Persson, K., Quervain, D. de, Reif, A., Rokicki, J., Rooij, D. van, Shadrin, A.A., Schmidt, A., Schwarz, E., Selbæk, G., Soininen, H., Sowa, P., Steen, V.M., Tsolaki, M., Vellas, B., Wang, L, Westman, E., Ziegler, G.C., Zink, M., Andreassen, O.A., Westlye, L.T., Kaufmann, T., Elvsåshagen, T., Bahrami, S., Meer, D. van der, Agartz, I., Alnæs, D., Barch, D.M., Baur-Streubel, R., Bertolino, A., Beyer, M.K., Blasi, G., Borgwardt, S., Boye, B., Buitelaar, J.K., Bøen, E., Celius, E.G., Cervenka, S., Conzelmann, A., Coynel, D., Carlo, P. di, Djurovic, S., Eisenacher, S., Espeseth, T., Fatouros-Bergman, H., Flyckt, L., Franke, B., Frei, O., Gelao, B., Harbo, H.F., Hartman, Catharina A., Håberg, A., Heslenfeld, D., Hoekstra, P.J., Høgestøl, E.A., Jonassen, R., Jönsson, E.G., Kirsch, P., Kłoszewska, I., Lagerberg, T.V., Landrø, N.I., Hellard, S. Le, Lesch, K.P., Maglanoc, L.A., Malt, U.F., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Moberget, T., Nordvik, J.E., Nyberg, L., Connell, K.S.O., Oosterlaan, J., Papalino, M., Papassotiropoulos, A., Pauli, P., Pergola, G., Persson, K., Quervain, D. de, Reif, A., Rokicki, J., Rooij, D. van, Shadrin, A.A., Schmidt, A., Schwarz, E., Selbæk, G., Soininen, H., Sowa, P., Steen, V.M., Tsolaki, M., Vellas, B., Wang, L, Westman, E., Ziegler, G.C., Zink, M., Andreassen, O.A., Westlye, L.T., and Kaufmann, T.
- Abstract
Contains fulltext : 225402.pdf (publisher's version ) (Open Access), Brainstem regions support vital bodily functions, yet their genetic architectures and involvement in common brain disorders remain understudied. Here, using imaging-genetics data from a discovery sample of 27,034 individuals, we identify 45 brainstem-associated genetic loci, including the first linked to midbrain, pons, and medulla oblongata volumes, and map them to 305 genes. In a replication sample of 7432 participants most of the loci show the same effect direction and are significant at a nominal threshold. We detect genetic overlap between brainstem volumes and eight psychiatric and neurological disorders. In additional clinical data from 5062 individuals with common brain disorders and 11,257 healthy controls, we observe differential volume alterations in schizophrenia, bipolar disorder, multiple sclerosis, mild cognitive impairment, dementia, and Parkinson's disease, supporting the relevance of brainstem regions and their genetic architectures in common brain disorders.
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- 2020
4. Computer-based disease management in oncology - a new software approach: 794
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Dengler, W., Arends, J., van Aaken, K., Hoffmeister, P., Eisenacher, S., Gassmann, C., and Unger, C.
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- 2002
5. Reproducible grey matter patterns index a multivariate, global alteration of brain structure in schizophrenia and bipolar disorder
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Schwarz, E., Doan, N. T., Pergola, G., Westlye, L. T., Kaufmann, T., Wolfers, T., Brecheisen, R., Quarto, T., Ing, A. J., Di Carlo, P., Gurholt, T. P., Harms, R. L., Noirhomme, Q., Moberget, T., Agartz, I., Andreassen, O. A., Bellani, M., Bertolino, A., Blasi, G., Brambilla, P., Buitelaar, J. K., Cervenka, S., Flyckt, L., Frangou, S., Franke, B., Hall, J., Heslenfeld, D. J., Kirsch, P., Mcintosh, A. M., Nothen, M. M., Papassotiropoulos, A., de Quervain, D. J. -F., Rietschel, M., Schumann, G., Tost, H., Witt, S. H., Zink, M., Meyer-Lindenberg, A., Bettella, F., Brandt, C. L., Clarke, T. -K., Coynel, D., Degenhardt, F., Djurovic, S., Eisenacher, S., Fastenrath, M., Fatouros-Bergman, H., Forstner, A. J., Frank, J., Gambi, F., Gelao, B., Geschwind, L., Di Giannantonio, M., Di Giorgio, A., Hartman, C. A., Heilmann-Heimbach, S., Herms, S., Hoekstra, P. J., Hoffmann, P., Hoogman, M., Jonsson, E. G., Loos, E., Maggioni, E., Oosterlaan, J., Papalino, M., Rampino, A., Romaniuk, L., Selvaggi, P., Sepede, G., Sonderby, I. E., Spalek, K., Sussmann, J. E., Thompson, P. M., Vasquez, A. A., Vogler, C., Whalley, H., Farde, L., Engberg, G., Erhardt, S., Schwieler, L., Collste, K., Victorsson, P., Malmqvist, A., Hedberg, M., Orhan, F., Cognitive Psychology, IBBA, Behavioural Sciences, Elvira Brattico / Principal Investigator, Department of Psychology and Logopedics, Cognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, General Paediatrics, ARD - Amsterdam Reproduction and Development, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Multiscale Imaging of Brain Connectivity, RS: FPN CN 11, Vision, and RS: FPN CN 1
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0301 basic medicine ,Male ,Multivariate statistics ,Bipolar Disorder ,SEGMENTATION ,3124 Neurology and psychiatry ,Machine Learning ,0302 clinical medicine ,DEFICITS ,Gray Matter ,Psychiatry ,RISK ,medicine.diagnostic_test ,220 Statistical Imaging Neuroscience ,LIKELIHOOD ESTIMATION ,Middle Aged ,MRI SCANS ,Magnetic Resonance Imaging ,Justice and Strong Institutions ,3. Good health ,Psychiatry and Mental health ,medicine.anatomical_structure ,bipolar disorders ,Schizophrenia ,Female ,brain structural patterns ,MRI ,Adult ,SDG 16 - Peace ,Adolescent ,Brain Structure and Function ,Grey matter ,Psykiatri ,CLASSIFICATION ,Article ,lcsh:RC321-571 ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Young Adult ,Text mining ,medicine ,Humans ,Bipolar disorder ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Biological Psychiatry ,METAANALYSIS ,schizophrenia ,grey matter alterations ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,business.industry ,1ST-EPISODE ,SDG 16 - Peace, Justice and Strong Institutions ,Magnetic resonance imaging ,medicine.disease ,030104 developmental biology ,Sample size determination ,Attention Deficit Disorder with Hyperactivity ,Case-Control Studies ,VOLUME ,business ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Contains fulltext : 202693.pdf (Publisher’s version ) (Open Access) Schizophrenia is a severe mental disorder characterized by numerous subtle changes in brain structure and function. Machine learning allows exploring the utility of combining structural and functional brain magnetic resonance imaging (MRI) measures for diagnostic application, but this approach has been hampered by sample size limitations and lack of differential diagnostic data. Here, we performed a multi-site machine learning analysis to explore brain structural patterns of T1 MRI data in 2668 individuals with schizophrenia, bipolar disorder or attention-deficit/ hyperactivity disorder, and healthy controls. We found reproducible changes of structural parameters in schizophrenia that yielded a classification accuracy of up to 76% and provided discrimination from ADHD, through it lacked specificity against bipolar disorder. The observed changes largely indexed distributed grey matter alterations that could be represented through a combination of several global brain-structural parameters. This multi-site machine learning study identified a brain-structural signature that could reproducibly differentiate schizophrenia patients from controls, but lacked specificity against bipolar disorder. While this currently limits the clinical utility of the identified signature, the present study highlights that the underlying alterations index substantial global grey matter changes in psychotic disorders, reflecting the biological similarity of these conditions, and provide a roadmap for future exploration of brain structural alterations in psychiatric patients.
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- 2019
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6. Monocausal Attributions Along Cross-Sections of Psychosis Development and Links with Psychopathology and Data Gathering Style
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Nowak, U., primary, Eisenacher, S., additional, Braun, H., additional, Rausch, F., additional, Muszinski, S., additional, Thiem, J., additional, Becker, A., additional, Englisch, S., additional, Kirsch, P., additional, Meyer-Lindenberg, A., additional, and Zink, M., additional
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- 2018
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7. Evaluation of the 'Jumping to conclusions' bias in different subgroups of the at-risk mental state: from cognitive basic symptoms to UHR criteria
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Rausch, F., Eisenacher, S., Elkin, H., Englisch, S., Kayser, S., Striepens, N., Lautenschlager, M., Heinz, A., Gudlowski, Y., Janssen, B., Gaebel, W., Michel, T. M., Schneider, F., Lambert, M., Naber, D., Juckel, G., Krueger-Oezguerdal, S., Wobrock, T., Hasan, A., Riedel, M., Moritz, S., Mueller, H., Klosterkoetter, J., Bechdolf, A., Zink, M., Wagner, M., Rausch, F., Eisenacher, S., Elkin, H., Englisch, S., Kayser, S., Striepens, N., Lautenschlager, M., Heinz, A., Gudlowski, Y., Janssen, B., Gaebel, W., Michel, T. M., Schneider, F., Lambert, M., Naber, D., Juckel, G., Krueger-Oezguerdal, S., Wobrock, T., Hasan, A., Riedel, M., Moritz, S., Mueller, H., Klosterkoetter, J., Bechdolf, A., Zink, M., and Wagner, M.
- Abstract
Background. Patients with psychosis display the so-called 'Jumping to Conclusions' bias (JTC) - a tendency for hasty decision-making in probabilistic reasoning tasks. So far, only a few studies have evaluated the JTC bias in 'at-risk mental state' (ARMS) patients, specifically in ARMS samples fulfilling 'ultra-high risk' (UHR) criteria, thus not allowing for comparisons between different ARMS subgroups. Method. In the framework of the PREVENT (secondary prevention of schizophrenia) study, a JTC task was applied to 188 patients either fulfilling UHR criteria or presenting with cognitive basic symptoms (BS). Similar data were available for 30 healthy control participants matched for age, gender, education and premorbid verbal intelligence. ARMS patients were identified by the Structured Interview for Prodromal Symptoms (SIPS) and the Schizophrenia Proneness Instrument - Adult Version (SPI-A). Results. The mean number of draws to decision (DTD) significantly differed between ARM - subgroups: UHR patients made significantly less draws to make a decision than ARMS patients with only cognitive BS. Furthermore, UHR patients tended to fulfil behavioural criteria for JTC more often than BS patients. In a secondary analysis, ARMS patients were much hastier in their decision-making than controls. In patients, DTD was moderately associated with positive and negative symptoms as well as disorganization and excitement. Conclusions. Our data indicate an enhanced JTC bias in the UHR group compared to ARMS patients with only cognitive BS. This underscores the importance of reasoning deficits within cognitive theories of the developing psychosis. Interactions with the liability to psychotic transitions and therapeutic interventions should be unravelled in longitudinal studies.
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- 2016
8. Evaluation of the ‘Jumping to conclusions’ bias in different subgroups of the at-risk mental state: from cognitive basic symptoms to UHR criteria
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Rausch, F., primary, Eisenacher, S., additional, Elkin, H., additional, Englisch, S., additional, Kayser, S., additional, Striepens, N., additional, Lautenschlager, M., additional, Heinz, A., additional, Gudlowski, Y., additional, Janssen, B., additional, Gaebel, W., additional, Michel, T. M., additional, Schneider, F., additional, Lambert, M., additional, Naber, D., additional, Juckel, G., additional, Krueger-Oezguerdal, S., additional, Wobrock, T., additional, Hasan, A., additional, Riedel, M., additional, Moritz, S., additional, Müller, H., additional, Klosterkötter, J., additional, Bechdolf, A., additional, Zink, M., additional, and Wagner, M., additional
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- 2016
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9. Cerebellar volume and cerebellocerebral structural covariance in schizophrenia: a multisite mega-analysis of 983 patients and 1349 healthy controls
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Moberget, T, Doan, N T, Alnæs, D, Kaufmann, T, Córdova-Palomera, A, Lagerberg, T V, Diedrichsen, J, Schwarz, E, Zink, M, Eisenacher, S, Kirsch, P, Jönsson, E G, Fatouros-Bergman, H, Flyckt, L, Pergola, G, Quarto, T, Bertolino, A, Barch, D, Meyer-Lindenberg, A, Agartz, I, Andreassen, O A, and Westlye, L T
- Abstract
Although cerebellar involvement across a wide range of cognitive and neuropsychiatric phenotypes is increasingly being recognized, previous large-scale studies in schizophrenia (SZ) have primarily focused on supratentorial structures. Hence, the across-sample reproducibility, regional distribution, associations with cerebrocortical morphology and effect sizes of cerebellar relative to cerebral morphological differences in SZ are unknown. We addressed these questions in 983 patients with SZ spectrum disorders and 1349 healthy controls (HCs) from 14 international samples, using state-of-the-art image analysis pipelines optimized for both the cerebellum and the cerebrum. Results showed that total cerebellar grey matter volume was robustly reduced in SZ relative to HCs (Cohens’s d=−0.35), with the strongest effects in cerebellar regions showing functional connectivity with frontoparietal cortices (d=−0.40). Effect sizes for cerebellar volumes were similar to the most consistently reported cerebral structural changes in SZ (e.g., hippocampus volume and frontotemporal cortical thickness), and were highly consistent across samples. Within groups, we further observed positive correlations between cerebellar volume and cerebral cortical thickness in frontotemporal regions (i.e., overlapping with areas that also showed reductions in SZ). This cerebellocerebral structural covariance was strongest in SZ, suggesting common underlying disease processes jointly affecting the cerebellum and the cerebrum. Finally, cerebellar volume reduction in SZ was highly consistent across the included age span (16–66 years) and present already in the youngest patients, a finding that is more consistent with neurodevelopmental than neurodegenerative etiology. Taken together, these novel findings establish the cerebellum as a key node in the distributed brain networks underlying SZ.
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- 2018
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10. The genetic architecture of human brainstem structures and their involvement in common brain disorders.
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Elvsåshagen T, Bahrami S, van der Meer D, Agartz I, Alnæs D, Barch DM, Baur-Streubel R, Bertolino A, Beyer MK, Blasi G, Borgwardt S, Boye B, Buitelaar J, Bøen E, Celius EG, Cervenka S, Conzelmann A, Coynel D, Di Carlo P, Djurovic S, Eisenacher S, Espeseth T, Fatouros-Bergman H, Flyckt L, Franke B, Frei O, Gelao B, Harbo HF, Hartman CA, Håberg A, Heslenfeld D, Hoekstra PJ, Høgestøl EA, Jonassen R, Jönsson EG, Kirsch P, Kłoszewska I, Lagerberg TV, Landrø NI, Le Hellard S, Lesch KP, Maglanoc LA, Malt UF, Mecocci P, Melle I, Meyer-Lindenberg A, Moberget T, Nordvik JE, Nyberg L, Connell KSO, Oosterlaan J, Papalino M, Papassotiropoulos A, Pauli P, Pergola G, Persson K, de Quervain D, Reif A, Rokicki J, van Rooij D, Shadrin AA, Schmidt A, Schwarz E, Selbæk G, Soininen H, Sowa P, Steen VM, Tsolaki M, Vellas B, Wang L, Westman E, Ziegler GC, Zink M, Andreassen OA, Westlye LT, and Kaufmann T
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- Brain Diseases diagnostic imaging, Brain Diseases metabolism, Brain Stem diagnostic imaging, Brain Stem metabolism, Brain Stem pathology, Genes, Overlapping, Genetic Loci, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Multifactorial Inheritance, Organ Size genetics, Brain Diseases genetics, Brain Diseases pathology, Brain Stem anatomy & histology
- Abstract
Brainstem regions support vital bodily functions, yet their genetic architectures and involvement in common brain disorders remain understudied. Here, using imaging-genetics data from a discovery sample of 27,034 individuals, we identify 45 brainstem-associated genetic loci, including the first linked to midbrain, pons, and medulla oblongata volumes, and map them to 305 genes. In a replication sample of 7432 participants most of the loci show the same effect direction and are significant at a nominal threshold. We detect genetic overlap between brainstem volumes and eight psychiatric and neurological disorders. In additional clinical data from 5062 individuals with common brain disorders and 11,257 healthy controls, we observe differential volume alterations in schizophrenia, bipolar disorder, multiple sclerosis, mild cognitive impairment, dementia, and Parkinson's disease, supporting the relevance of brainstem regions and their genetic architectures in common brain disorders.
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- 2020
- Full Text
- View/download PDF
11. Publisher Correction: Common brain disorders are associated with heritable patterns of apparent aging of the brain.
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Kaufmann T, van der Meer D, Doan NT, Schwarz E, Lund MJ, Agartz I, Alnæs D, Barch DM, Baur-Streubel R, Bertolino A, Bettella F, Beyer MK, Bøen E, Borgwardt S, Brandt CL, Buitelaar J, Celius EG, Cervenka S, Conzelmann A, Córdova-Palomera A, Dale AM, de Quervain DJF, Di Carlo P, Djurovic S, Dørum ES, Eisenacher S, Elvsåshagen T, Espeseth T, Fatouros-Bergman H, Flyckt L, Franke B, Frei O, Haatveit B, Håberg AK, Harbo HF, Hartman CA, Heslenfeld D, Hoekstra PJ, Høgestøl EA, Jernigan TL, Jonassen R, Jönsson EG, Kirsch P, Kłoszewska I, Kolskår KK, Landrø NI, Le Hellard S, Lesch KP, Lovestone S, Lundervold A, Lundervold AJ, Maglanoc LA, Malt UF, Mecocci P, Melle I, Meyer-Lindenberg A, Moberget T, Norbom LB, Nordvik JE, Nyberg L, Oosterlaan J, Papalino M, Papassotiropoulos A, Pauli P, Pergola G, Persson K, Richard G, Rokicki J, Sanders AM, Selbæk G, Shadrin AA, Smeland OB, Soininen H, Sowa P, Steen VM, Tsolaki M, Ulrichsen KM, Vellas B, Wang L, Westman E, Ziegler GC, Zink M, Andreassen OA, and Westlye LT
- Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
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12. Reduced activity and connectivity of left amygdala in patients with schizophrenia treated with clozapine or olanzapine.
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Mier D, Schirmbeck F, Stoessel G, Esslinger C, Rausch F, Englisch S, Eisenacher S, de Haan L, Meyer-Lindenberg A, Kirsch P, and Zink M
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- Adult, Amygdala diagnostic imaging, Amygdala pathology, Amygdala physiopathology, Carrier Proteins, Female, Functional Neuroimaging, Humans, Male, Neural Pathways drug effects, Neural Pathways pathology, Neural Pathways physiopathology, Saccharomyces cerevisiae Proteins, Schizophrenia diagnostic imaging, Schizophrenia pathology, Schizophrenia physiopathology, Amygdala drug effects, Antipsychotic Agents therapeutic use, Clozapine therapeutic use, Olanzapine therapeutic use, Schizophrenia drug therapy
- Abstract
Obsessive-compulsive symptoms (OCS) in patients with schizophrenia are a common co-occurring condition, often associated with additional impairments. A subgroup of these patients develops OCS during treatment with second-generation antipsychotics (SGAs), most importantly clozapine and olanzapine. So far, little is known about possible neural mechanism of these SGAs, which seem to aggravate or induce OCS. To investigate the role of SGA treatment on neural activation and connectivity during emotional processing, patients were stratified according to their monotherapy into two groups (group I: clozapine or olanzapine, n = 20; group II: amisulpride or aripiprazole, n = 20). We used an fMRI approach, applying an implicit emotion recognition task. Group comparisons showed significantly higher frequency and severity of comorbid OCS in group I than group II. Task specific activation was attenuated in group I in the left amygdala. Furthermore, functional connectivity from left amygdala to right ventral striatum was reduced in group I. Reduced amygdala activation was associated with OCS severity. Recent literature suggests an involvement of an amygdala-cortico-striatal network in the pathogenesis of obsessive-compulsive disorder. The observed differential activation and connectivity pattern of the amygdala might thus indicate a neural mechanism for the development of SGA-associated OCS in patients with schizophrenia. Further neurobiological research and interventional studies are needed for causal inferences.
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- 2019
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13. Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk.
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Alnæs D, Kaufmann T, van der Meer D, Córdova-Palomera A, Rokicki J, Moberget T, Bettella F, Agartz I, Barch DM, Bertolino A, Brandt CL, Cervenka S, Djurovic S, Doan NT, Eisenacher S, Fatouros-Bergman H, Flyckt L, Di Giorgio A, Haatveit B, Jönsson EG, Kirsch P, Lund MJ, Meyer-Lindenberg A, Pergola G, Schwarz E, Smeland OB, Quarto T, Zink M, Andreassen OA, and Westlye LT
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- Adult, Case-Control Studies, Female, Gene-Environment Interaction, Genetic Association Studies, Humans, Magnetic Resonance Imaging, Male, Multifactorial Inheritance, Organ Size physiology, Young Adult, Brain diagnostic imaging, Schizophrenia diagnostic imaging, Schizophrenia genetics, White Matter diagnostic imaging
- Abstract
Importance: Between-individual variability in brain structure is determined by gene-environment interactions, possibly reflecting differential sensitivity to environmental and genetic perturbations. Magnetic resonance imaging (MRI) studies have revealed thinner cortices and smaller subcortical volumes in patients with schizophrenia. However, group-level comparisons may mask considerable within-group heterogeneity, which has largely remained unnoticed in the literature., Objectives: To compare brain structural variability between individuals with schizophrenia and healthy controls and to test whether respective variability reflects the polygenic risk score (PRS) for schizophrenia in an independent sample of healthy controls., Design, Setting, and Participants: This case-control and polygenic risk analysis compared MRI-derived cortical thickness and subcortical volumes between healthy controls and patients with schizophrenia across 16 cohorts and tested for associations between PRS and MRI features in a control cohort from the UK Biobank. Data were collected from October 27, 2004, through April 12, 2018, and analyzed from December 3, 2017, through August 1, 2018., Main Outcomes and Measures: Mean and dispersion parameters were estimated using double generalized linear models. Vertex-wise analysis was used to assess cortical thickness, and regions-of-interest analyses were used to assess total cortical volume, total surface area, and white matter, subcortical, and hippocampal subfield volumes. Follow-up analyses included within-sample analysis, test of robustness of the PRS threshold, population covariates, outlier removal, and control for image quality., Results: A comparison of 1151 patients with schizophrenia (mean [SD] age, 33.8 [10.6] years; 68.6% male [n = 790] and 31.4% female [n = 361]) with 2010 healthy controls (mean [SD] age, 32.6 [10.4] years; 56.0% male [n = 1126] and 44.0% female [n = 884]) revealed higher heterogeneity in schizophrenia for cortical thickness and area (t = 3.34), cortical (t = 3.24) and ventricle (t range, 3.15-5.78) volumes, and hippocampal subfields (t range, 2.32-3.55). In the UK Biobank sample of 12 490 participants (mean [SD] age, 55.9 [7.5] years; 48.2% male [n = 6025] and 51.8% female [n = 6465]), higher PRS was associated with thinner frontal and temporal cortices and smaller left CA2/3 (t = -3.00) but was not significantly associated with dispersion., Conclusions and Relevance: This study suggests that schizophrenia is associated with substantial brain structural heterogeneity beyond the mean differences. These findings may reflect higher sensitivity to environmental and genetic perturbations in patients, supporting the heterogeneous nature of schizophrenia. A higher PRS was associated with thinner frontotemporal cortices and smaller hippocampal subfield volume, but not heterogeneity. This finding suggests that brain variability in schizophrenia results from interactions between environmental and genetic factors that are not captured by the PRS. Factors contributing to heterogeneity in frontotemporal cortices and hippocampus are key to furthering our understanding of how genetic and environmental factors shape brain biology in schizophrenia.
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- 2019
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14. Response to Agomelatine Treatment is Independent of Smoking Status and Dosage: Results From the AGOPSYCH Study.
- Author
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Englisch S, Jung HS, Lewien A, Becker A, Nowak U, Braun H, Eisenacher S, Thiem J, Meyer-Lindenberg A, and Zink M
- Subjects
- Adult, Depression complications, Dose-Response Relationship, Drug, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Smoking epidemiology, Treatment Outcome, Young Adult, Acetamides therapeutic use, Antidepressive Agents therapeutic use, Depression drug therapy
- Abstract
Introduction: Cigarette smoking influences response to antidepressant treatment. It accelerates the metabolism of several cytochrome P450 (CYP) subtypes, including CYP1A2, and therefore bears the risk of pharmacokinetic interactions with psychotropic drugs using that pathway. Agomelatine is a substrate of CYP1A2; the association between nicotine use and agomelatine dosage, however, has never been studied before., Methods: Smoking habits were correlated with agomelatine doses and treatment outcomes in a sample of 27 patients with lifetime diagnoses within the schizophrenia spectrum who received agomelatine treatment in addition to their stable antipsychotic treatment regimen because of depressive symptoms., Results: No interactions were found between smoking status and agomelatine dosage, and treatment outcomes did not differ between smokers and nonsmokers., Discussion: Agomelatine efficacy appears to be independent of dosage and smoking status, pointing toward mechanisms beyond mere dose-response relationships. Further research will be necessary to validate these findings., Competing Interests: S.En. has received travel expenses and consultant fees from Janssen-Cilag, Lundbeck, Otsuka Pharma, and Servier.A.L. has received travel expenses from Lundbeck and Roche.A.M.-L. has received consultant fees from AstraZeneca, Elsevier, F. Hoffmann-La Roche, Gerson Lehrman Group, Lundbeck, Outcome Europe Sárl, Outcome Sciences, Roche Pharma, Servier International, and Thieme Verlag and has received lectures including travel fees from Abbott, AstraZeneca, Aula Médica Congresos, BASF, Boehringer Ingelheim, Groupo Ferrer International, Janssen-Cilag, Lilly Deutschland, LVR Klinikum Düsseldorf, Otsuka Pharmaceuticals, and Servier Deutschland.M.Z. received scientific grants from the German Research Foundation and Servier; speaker and travel grants were provided from Bristol Myers Squibb Pharmaceuticals, Otsuka, Servier, Lundbeck, Roche, Ferrer, and Trommsdorff.H.S.J., A.B., U.N., H.B., J.T., and S.Ei. report no conflicts of interest., (© Georg Thieme Verlag KG Stuttgart · New York.)
- Published
- 2019
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15. Early cognitive basic symptoms are accompanied by neurocognitive impairment in patients with an 'at-risk mental state' for psychosis.
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Eisenacher S, Rausch F, Ainser F, Englisch S, Becker A, Mier D, Fenske S, Meyer-Lindenberg A, Kirsch P, and Zink M
- Subjects
- Adolescent, Adult, Case-Control Studies, Cognitive Dysfunction complications, Cognitive Dysfunction diagnosis, Early Diagnosis, Female, Humans, Male, Memory, Short-Term, Neuropsychological Tests, Prodromal Symptoms, Psychotic Disorders complications, Psychotic Disorders diagnosis, Verbal Learning, Young Adult, Cognitive Dysfunction psychology, Psychotic Disorders psychology
- Abstract
Aim: Patients with an increased risk for psychosis ('at-risk mental state' (ARMS)) present various neurocognitive deficits. Not least because of differences in identifying the ARMS, results of previous studies are inconsistent. In most studies ARMS-patients are classified by the experience of attenuated psychotic symptoms (APS) and/or brief limited intermittent psychotic symptoms (BLIPS). Few studies additionally assessed cognitive basic symptoms (BS). A comprehensive assessment in the very early stage of the ARMS is missing., Methods: In the present study we characterized ARMS-patients for cognitive BS (ARMS-BS), APS and BLIPS (ARMS-A/B) according to the Early Recognition Inventory based on IRAOS (ERIraos). Furthermore, we assessed neurocognitive deficits using the MATRICS consensus cognitive battery for schizophrenia with a primary hypothesis regarding working memory performance. Groups of 38 ARMS-patients and 38 healthy controls were matched for age, gender, education and premorbid verbal intelligence., Results: Between-group comparisons revealed significant poorer working memory performance in addition to lower verbal learning and problem solving, slower processing speed and lower global neurocognitive functioning in ARMS-patients as compared to controls. ARMS-BS did not differ from ARMS-A/B., Conclusions: These results underscore the presence of cognitive limitations in patients only presenting with cognitive BS. Knowledge of these early cognitive deviations supports the inclusion of early ARMS-stages into a comprehensive concept of the psychosis risk state. Therapeutic interventions already applied at this stage might prevent deterioration of constraints. Longitudinal and interventional studies investigating the interaction of cognitive BS and neurocognitive as well as metacognitive deficits are warranted., (© 2016 John Wiley & Sons Australia, Ltd.)
- Published
- 2018
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16. Neurocognitive Effects of Agomelatine Treatment in Schizophrenia Patients Suffering From Comorbid Depression: Results From the AGOPSYCH Study.
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Englisch S, Jung HS, Eisenacher S, Lewien A, Becker A, Nowak U, Braun H, Thiem J, Meyer-Lindenberg A, and Zink M
- Subjects
- Acetamides administration & dosage, Acetamides therapeutic use, Adult, Antipsychotic Agents administration & dosage, Antipsychotic Agents therapeutic use, Drug Therapy, Combination, Female, Humans, Male, Neuropsychological Tests, Schizophrenia drug therapy, Acetamides adverse effects, Antipsychotic Agents adverse effects, Cognitive Dysfunction chemically induced, Depression complications, Schizophrenia complications
- Abstract
Background: Cognitive impairment in schizophrenia is highly disabling and remains one of the major therapeutic challenges. Agomelatine (AGO), an agonist at melatonergic MT1/MT2 receptors and antagonist at 5-HT2C receptors, increases dopamine and norepinephrine in the prefrontal cortex and may therefore have the potential of improving neurocognition in patients with schizophrenia., Methods: Twenty-seven patients with schizophrenia and comorbid depression were treated with AGO in addition to stable doses of antipsychotic drugs. Cognitive abilities were assessed with the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB) at study entry and after 12 weeks of AGO treatment after the intention-to-treat principle., Results: We observed statistically significant yet clinically negligible increases of the MCCB composite score and the reasoning/problem solving subscore. Patients with unimpaired sleep at baseline showed greater improvements over time than those with sleep disturbances. Changes on the MCCB were not correlated with other psychometric variables., Conclusions: Despite statistically significant, cognitive improvements after 12 weeks of AGO treatment were clinically irrelevant. Our findings may be limited by baseline properties of the study sample and the study design. In particular, lacking a control group, it cannot be ruled out that improvements were unrelated to AGO treatment. That is why randomized controlled trials are needed to validate the relevance of AGO as a cognitive enhancer in schizophrenia.
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- 2018
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17. Aberrant activity and connectivity of the posterior superior temporal sulcus during social cognition in schizophrenia.
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Mier D, Eisenacher S, Rausch F, Englisch S, Gerchen MF, Zamoscik V, Meyer-Lindenberg A, Zink M, and Kirsch P
- Subjects
- Adult, Brain Mapping, Cognition physiology, Emotions, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Psychiatric Status Rating Scales, Schizophrenia diagnostic imaging, Theory of Mind, Nerve Net diagnostic imaging, Schizophrenia pathology, Schizophrenic Psychology, Social Behavior, Temporal Lobe diagnostic imaging
- Abstract
Schizophrenia is associated with significant impairments in social cognition. These impairments have been shown to go along with altered activation of the posterior superior temporal sulcus (pSTS). However, studies that investigate connectivity of pSTS during social cognition in schizophrenia are sparse. Twenty-two patients with schizophrenia and 22 matched healthy controls completed a social-cognitive task for functional magnetic resonance imaging that allows the investigation of affective Theory of Mind (ToM), emotion recognition and the processing of neutral facial expressions. Moreover, a resting-state measurement was taken. Patients with schizophrenia performed worse in the social-cognitive task (main effect of group). In addition, a group by social-cognitive processing interaction was revealed for activity, as well as for connectivity during the social-cognitive task, i.e., patients with schizophrenia showed hyperactivity of right pSTS during neutral face processing, but hypoactivity during emotion recognition and affective ToM. In addition, hypoconnectivity between right and left pSTS was revealed for affective ToM, but not for neutral face processing or emotion recognition. No group differences in connectivity from right to left pSTS occurred during resting state. This pattern of aberrant activity and connectivity of the right pSTS during social cognition might form the basis of false-positive perceptions of emotions and intentions and could contribute to the emergence and sustainment of delusions.
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- 2017
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18. Holding on to false beliefs: The bias against disconfirmatory evidence over the course of psychosis.
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Eisenacher S and Zink M
- Subjects
- Humans, Bias, Culture, Schizophrenic Psychology
- Abstract
Background and Objectives: The ability to integrate evidence into a reasoning process is crucial in order to react to changing information, e.g. to adapt one's beliefs according to new evidence or to generate new beliefs when facing better alternatives. Evidence integration ability is thus associated with belief flexibility. A specific bias of evidence integration, a bias against disconfirmatory evidence (BADE), can be found in patients with schizophrenia and has been linked to delusion development and maintenance. Knowledge about whether the BADE occurs already in risk constellations of psychosis can clarify its role in the pathogenesis of psychosis., Methods: This article reviews the current literature on BADE. Many studies demonstrate BADE over the course of illness, ranging from healthy controls with subclinical properties of schizotypy, over patients with at-risk mental states (ARMS) and patients with a first episode of psychosis to patients with chronic schizophrenia. These data allow a comparison of competences and deficits over the course of illness. Underlying mechanisms of BADE are discussed, including interrelations with neurocognitive performance and dopaminergic processes., Results: The BADE could be found in different phases of psychosis development and can be regarded as a cognitive marker of the beginning psychotic state., Limitations: The presented findings are derived from independent cross-sectional studies. So far, no comprehensive longitudinal assessment has been published., Conclusions: Treatments of metacognitive deficits in general and as early as in the ARMS might interfere with the cognitive pathogenesis of psychosis, and thereby ameliorate, postpone or even prevent the transition to psychosis., (Copyright © 2016 Elsevier Ltd. All rights reserved.)
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- 2017
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19. Fast sleep spindle reduction in schizophrenia and healthy first-degree relatives: association with impaired cognitive function and potential intermediate phenotype.
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Schilling C, Schlipf M, Spietzack S, Rausch F, Eisenacher S, Englisch S, Reinhard I, Haller L, Grimm O, Deuschle M, Tost H, Zink M, Meyer-Lindenberg A, and Schredl M
- Subjects
- Adolescent, Adult, Analysis of Variance, Brain Waves genetics, Electroencephalography, Family, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Polysomnography, Psychiatric Status Rating Scales, Young Adult, Brain Waves physiology, Cognition Disorders etiology, Schizophrenia complications, Schizophrenia genetics, Sleep Wake Disorders etiology
- Abstract
Several studies in patients with schizophrenia reported a marked reduction in sleep spindle activity. To investigate whether the reduction may be linked to genetic risk of the illness, we analysed sleep spindle activity in healthy volunteers, patients with schizophrenia and first-degree relatives, who share an enriched set of schizophrenia susceptibility genes. We further investigated the correlation of spindle activity with cognitive function in first-degree relatives and whether spindle abnormalities affect both fast (12-15 Hz) and slow (9-12 Hz) sleep spindles. We investigated fast and slow sleep spindle activity during non-rapid eye movement sleep in a total of 47 subjects comprising 17 patients with schizophrenia, 13 healthy first-degree relatives and 17 healthy volunteers. Groups were balanced for age, gender, years of education and estimated verbal IQ. A subsample of relatives received additional testing for memory performance. Compared to healthy volunteers, fast spindle density was reduced in patients with schizophrenia and healthy first-degree relatives following a pattern consistent with an assumed genetic load for schizophrenia. The deficit in spindle density was specific to fast spindles and was associated with decreased memory performance. Our findings indicate familial occurrence of this phenotype and thus support the hypothesis that deficient spindle activity relates to genetic liability for schizophrenia. Furthermore, spindle reductions predict impaired cognitive function and are specific to fast spindles. This physiological marker should be further investigated as an intermediate phenotype of schizophrenia. It could also constitute a target for drug development, especially with regard to cognitive dysfunction.
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- 2017
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20. The Importance of Metamemory Functioning to the Pathogenesis of Psychosis.
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Eisenacher S and Zink M
- Abstract
Many studies up to date have implied that biases in the metacognition of memory, so called metamemory, contribute to the development and maintenance of positive symptoms in schizophrenia. However, no study exists which has longitudinally followed patients experiencing positive symptoms. The present article therefore reviews cross-sectional studies on retrospective metamemory abilities in participants within different stages of a schizophrenia spectrum disorder, with heterogeneous symptom severities, creating a pseudo-longitudinal overview. Summarized, a deterioration of these abilities correlating with psychosis development can be inferred. The reviewed publications indicate that metamemory biases can already be found in patients with an at-risk mental state for psychosis (ARMS). Patients in their first episode of psychosis (FEP) seem to be more severely impaired than ARMS-patients but similarly affected compared to chronic patients. The contribution of these biases to the pathogenesis of psychosis is discussed, giving consideration to relations with other cognitive- and metacognitive functions, neurochemical processes and neural correlates. It is hypothesized that the biases represent early cognitive markers of the beginning and persisting psychotic state. An early treatment program could help patients to ameliorate the general course of illness or even to prevent the risk of a transition to psychosis.
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- 2017
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21. Agomelatine for the Treatment of Major Depressive Episodes in Schizophrenia-Spectrum Disorders: An Open-Prospective Proof-of-Concept Study.
- Author
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Englisch S, Jung HS, Lewien A, Becker A, Nowak U, Braun H, Thiem J, Eisenacher S, Meyer-Lindenberg A, and Zink M
- Subjects
- Acetamides administration & dosage, Acetamides adverse effects, Adult, Antidepressive Agents administration & dosage, Antidepressive Agents adverse effects, Comorbidity, Depressive Disorder, Major epidemiology, Drug Therapy, Combination, Female, Humans, Male, Middle Aged, Prospective Studies, Schizophrenia epidemiology, Acetamides pharmacology, Antidepressive Agents pharmacology, Antipsychotic Agents therapeutic use, Depressive Disorder, Major drug therapy, Outcome Assessment, Health Care, Schizophrenia drug therapy
- Abstract
Background: Depressive episodes in schizophrenia constitute a major clinical problem, and treatment success is often limited by treatment-emergent side effects. Agomelatine, an agonist at melatonergic MT1/MT2 receptors and 5-HT2C receptor antagonist, is a new antidepressant with a novel mode of action which constitutes a potential therapeutic option for depression in schizophrenia., Methods: Twenty-seven patients with lifetime diagnoses within the schizophrenia spectrum and comorbid depression were treated with agomelatine in addition to stable doses of antipsychotic agents. Severity of depression and other psychopathological domains (positive/negative symptoms, general psychopathology, psychosocial performance) was assessed regularly by means of standardized rating scales during a 6-week acute treatment phase as well as after a 6-week extension phase. Moreover, safety measures (electrocardiograms, laboratory counts, neurological and non-neurological side effects, sleep quality, sexual functioning) were monitored on a regular basis., Results: Depressive symptoms improved significantly during the 6-week acute treatment phase. In parallel, a significant improvement of negative symptoms, global psychopathology, and psychosocial performance was observed, whereas positive symptoms remained stable. Agomelatine was mostly well tolerated with predominantly mild and self-limiting side effects. However, pharmacokinetic interactions with antipsychotic agents were observed. Interestingly, the quality of sleep did not improve significantly, pointing toward mechanisms that do not depend on resynchronization of circadian rhythms., Conclusions: Agomelatine appears to be safe and efficacious in treating depressive symptoms in patients with schizophrenia. The risk of pharmacokinetic interactions with antipsychotic agents warrants the need of therapeutic drug monitoring, and regular recording of vital signs seems necessary. Further randomized trials will have to confirm these findings.
- Published
- 2016
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22. Bias against disconfirmatory evidence in the 'at-risk mental state' and during psychosis.
- Author
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Eisenacher S, Rausch F, Mier D, Fenske S, Veckenstedt R, Englisch S, Becker A, Andreou C, Moritz S, Meyer-Lindenberg A, Kirsch P, and Zink M
- Subjects
- Adolescent, Adult, Antipsychotic Agents therapeutic use, Bias, Cognition Disorders drug therapy, Depression diagnosis, Depression drug therapy, Depression epidemiology, Female, Humans, Male, Neuropsychological Tests, Psychometrics, Psychotic Disorders drug therapy, Risk Factors, Schizophrenia drug therapy, Young Adult, Cognition Disorders diagnosis, Cognition Disorders epidemiology, Psychotic Disorders diagnosis, Psychotic Disorders epidemiology, Schizophrenia diagnosis, Schizophrenia epidemiology
- Abstract
Prior studies have confirmed a bias against disconfirmatory evidence (BADE) in schizophrenia which has been associated with delusions. However, its role in the pathogenesis of psychosis is yet unclear. The objective was to investigate BADE for the first time in subjects with an at-risk-mental-state for psychosis (ARMS), patients with a first episode of psychosis without antipsychotic treatment (FEP) and healthy controls (HC). A standard BADE test presenting written scenarios was employed. In addition, psychometric rating scales and a neuropsychological test battery were applied. A three-staged image was revealed. FEP-patients showed a significant BADE compared to the other groups. The performance of ARMS-patients lay in between HC and FEP-patients. A trend towards significance became evident for a bias against confirmatory evidence (BACE) in FEP-patients. Results were not attributable to antipsychotic or other medication or depressive symptoms. Correlations with delusions reached medium effect sizes but failed significance after Bonferroni-corrections. These results provide evidence for aberrations in evidence integration in the pathogenesis of psychosis and contribute to our knowledge of metacognitive functioning which can be used for (meta-)cognitive intervention in psychosis., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
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- 2016
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23. Investigating the efficacy of an individualized metacognitive therapy program (MCT+) for psychosis: study protocol of a multi-center randomized controlled trial.
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Schneider BC, Brüne M, Bohn F, Veckenstedt R, Kolbeck K, Krieger E, Becker A, Drommelschmidt KA, Englisch S, Eisenacher S, Lee-Grimm SI, Nagel M, Zink M, and Moritz S
- Subjects
- Adult, Delusions psychology, Delusions therapy, Humans, Male, Middle Aged, Psychotic Disorders psychology, Quality of Life, Schizophrenic Psychology, Treatment Outcome, Cognitive Behavioral Therapy methods, Precision Medicine methods, Psychotic Disorders therapy, Schizophrenia therapy
- Abstract
Background: Psychological interventions are increasingly recommended as adjunctive treatments for psychosis, but their implementation in clinical practice is still insufficient. The individualized metacognitive therapy program (MCT+; www.uke.de/mct_plus ) represents a low-threshold psychotherapeutic approach that synthesizes group metacognitive training (MCT) and cognitive behavioral therapy for psychosis, and addresses specific cognitive biases that are involved in the onset and maintenance of psychosis. It aims to "plant the seed of doubt" regarding rigid delusional convictions and to encourage patients to critically reflect, extend and change their approach to problem solving. Its second edition also puts more emphasis on affective symptoms. A recent meta-analysis of metacognitive interventions (MCT, MCT+) indicate small to moderate effects on positive symptoms and delusions, as well as high rates of acceptance. Nonetheless, no long-term studies of MCT+ involving large samples have been conducted., Methods: The goal of the present multi-center, observer-blind, parallel-group, randomized controlled trial is to compare the efficacy of MCT+ against an active control (cognitive remediation; MyBrainTraining(©)) in 328 patients with psychosis at three time points (baseline, immediately after intervention [6 weeks] and 6 months later). The primary outcome is change in psychosis symptoms over the 6-month follow-up period as assessed by the delusion subscale of the Psychotic Symptom Rating Scale. Secondary outcomes include jumping to conclusions, other positive symptoms of schizophrenia, depressive symptoms, self-esteem, quality of life, and cognitive insight. The study also seeks to elucidate mediating factors that promote versus impede symptom improvement across time., Discussion: This is the first multi-center randomized controlled trial to test the efficacy of individualized MCT+ in a large sample of patients with psychosis. The rationale for the trial, the design, and the strengths and limitations of the study are discussed., Trial Registration: The trial is registered through the German Clinical Trials Register ( www.drks.de ) as DRKS00008001 . Registered 6 May 2015.
- Published
- 2016
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