338 results on '"Greig I. de Zubicaray"'
Search Results
2. The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development
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Lachlan T. Strike, Narelle K. Hansell, Kai-Hsiang Chuang, Jessica L. Miller, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, and Margaret J. Wright
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Science - Abstract
Abstract We describe the Queensland Twin Adolescent Brain (QTAB) dataset and provide a detailed methodology and technical validation to facilitate data usage. The QTAB dataset comprises multimodal neuroimaging, as well as cognitive and mental health data collected in adolescent twins over two sessions (session 1: N = 422, age 9–14 years; session 2: N = 304, 10–16 years). The MRI protocol consisted of T1-weighted (MP2RAGE), T2-weighted, FLAIR, high-resolution TSE, SWI, resting-state fMRI, DWI, and ASL scans. Two fMRI tasks were added in session 2: an emotional conflict task and a passive movie-watching task. Outside of the scanner, we assessed cognitive function using standardised tests. We also obtained self-reports of symptoms for anxiety and depression, perceived stress, sleepiness, pubertal development measures, and risk and protective factors. We additionally collected several biological samples for genomic and metagenomic analysis. The QTAB project was established to promote health-related research in adolescence. more...
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- 2023
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Catalog
3. Statistical Relationships Between Phonological Form, Emotional Valence and Arousal of Spanish Words
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Greig I. de Zubicaray and José A. Hinojosa
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sound symbolism ,emotion ,valence ,arousal ,spanish ,Consciousness. Cognition ,BF309-499 - Abstract
A number of studies have provided evidence of limited non-arbitrary associations between the phonological forms and meanings of affective words, a finding referred to as affective sound symbolism. Here, we explored whether the affective connotations of Spanish words might have more extensive statistical relationships with phonological/phonetic features, or affective form typicality. After eliminating words with poor affective rating agreement and morphophonological redundancies (e.g., negating prefixes), we found evidence of significant form typicality for emotional valence, emotionality, and arousal in a large sample of monosyllabic and polysyllabic words. These affective form-meaning mappings remained significant even when controlling for a range of lexico-semantic variables. We show that affective variables and their corresponding form typicality measures are able to significantly predict lexical decision performance using a megastudy dataset. Overall, our findings provide new evidence that affective form typicality is a statistical property of the Spanish lexicon. more...
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- 2024
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4. 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
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Ida E. Sønderby, Dennis van der Meer, Clara Moreau, Tobias Kaufmann, G. Bragi Walters, Maria Ellegaard, Abdel Abdellaoui, David Ames, Katrin Amunts, Micael Andersson, Nicola J. Armstrong, Manon Bernard, Nicholas B. Blackburn, John Blangero, Dorret I. Boomsma, Henry Brodaty, Rachel M. Brouwer, Robin Bülow, Rune Bøen, Wiepke Cahn, Vince D. Calhoun, Svenja Caspers, Christopher R. K. Ching, Sven Cichon, Simone Ciufolini, Benedicto Crespo-Facorro, Joanne E. Curran, Anders M. Dale, Shareefa Dalvie, Paola Dazzan, Eco J. C. de Geus, Greig I. de Zubicaray, Sonja M. C. de Zwarte, Sylvane Desrivieres, Joanne L. Doherty, Gary Donohoe, Bogdan Draganski, Stefan Ehrlich, Else Eising, Thomas Espeseth, Kim Fejgin, Simon E. Fisher, Tormod Fladby, Oleksandr Frei, Vincent Frouin, Masaki Fukunaga, Thomas Gareau, Tian Ge, David C. Glahn, Hans J. Grabe, Nynke A. Groenewold, Ómar Gústafsson, Jan Haavik, Asta K. Haberg, Jeremy Hall, Ryota Hashimoto, Jayne Y. Hehir-Kwa, Derrek P. Hibar, Manon H. J. Hillegers, Per Hoffmann, Laurena Holleran, Avram J. Holmes, Georg Homuth, Jouke-Jan Hottenga, Hilleke E. Hulshoff Pol, Masashi Ikeda, Neda Jahanshad, Christiane Jockwitz, Stefan Johansson, Erik G. Jönsson, Niklas R. Jørgensen, Masataka Kikuchi, Emma E. M. Knowles, Kuldeep Kumar, Stephanie Le Hellard, Costin Leu, David E. J. Linden, Jingyu Liu, Arvid Lundervold, Astri Johansen Lundervold, Anne M. Maillard, Nicholas G. Martin, Sandra Martin-Brevet, Karen A. Mather, Samuel R. Mathias, Katie L. McMahon, Allan F. McRae, Sarah E. Medland, Andreas Meyer-Lindenberg, Torgeir Moberget, Claudia Modenato, Jennifer Monereo Sánchez, Derek W. Morris, Thomas W. Mühleisen, Robin M. Murray, Jacob Nielsen, Jan E. Nordvik, Lars Nyberg, Loes M. Olde Loohuis, Roel A. Ophoff, Michael J. Owen, Tomas Paus, Zdenka Pausova, Juan M. Peralta, G. Bruce Pike, Carlos Prieto, Erin B. Quinlan, Céline S. Reinbold, Tiago Reis Marques, James J. H. Rucker, Perminder S. Sachdev, Sigrid B. Sando, Peter R. Schofield, Andrew J. Schork, Gunter Schumann, Jean Shin, Elena Shumskaya, Ana I. Silva, Sanjay M. Sisodiya, Vidar M. Steen, Dan J. Stein, Lachlan T. Strike, Ikuo K. Suzuki, Christian K. Tamnes, Alexander Teumer, Anbupalam Thalamuthu, Diana Tordesillas-Gutiérrez, Anne Uhlmann, Magnus O. Ulfarsson, Dennis van ‘t Ent, Marianne B. M. van den Bree, Pierre Vanderhaeghen, Evangelos Vassos, Wei Wen, Katharina Wittfeld, Margaret J. Wright, Ingrid Agartz, Srdjan Djurovic, Lars T. Westlye, Hreinn Stefansson, Kari Stefansson, Sébastien Jacquemont, Paul M. Thompson, Ole A. Andreassen, and for the ENIGMA-CNV working group more...
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers—the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function. more...
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- 2021
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5. Region-specific sex differences in the hippocampus
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Liza van Eijk, Narelle K. Hansell, Lachlan T. Strike, Baptiste Couvy-Duchesne, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, Brendan P. Zietsch, and Margaret J. Wright
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Hippocampus ,Hippocampal subfields ,Volume ,Sex ,Gender ,Controlling methods ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
The hippocampus is a brain region critical for learning and memory, and is also implicated in several neuropsychiatric disorders that show sex differences in prevalence, symptom expression, and mean age of onset. On average, males have larger hippocampal volumes than females, but findings are inconclusive after adjusting for overall brain size. Although the hippocampus is a heterogenous structure, few studies have focused on sex differences in the hippocampal subfields – with little consensus on whether there are regionally specific sex differences in the hippocampus after adjusting for brain size, or whether it is important to adjust for total hippocampal volume (HPV). Here, using two young adult cohorts from the Queensland Twin IMaging study (QTIM; N = 727) and the Human Connectome Project (HCP; N = 960), we examined differences between males and females in the volumes of 12 hippocampal subfields, extracted using FreeSurfer 6.0. After adjusting the subfield volumes for either HPV or brain size (brain segmentation volume (BSV)) using four controlling methods (allometric, covariate, residual and matching), we estimated the percentage difference of the sex effect (males versus females) and Cohen’s d using hierarchical general linear models. Males had larger volumes compared to females in the parasubiculum (up to 6.04%; Cohen’s d = 0.46) and fimbria (up to 8.75%; d = 0.54) after adjusting for HPV. These sex differences were robust across the two cohorts and multiple controlling methods, though within cohort effect sizes were larger for the matched approach, due to the smaller sub-sample. Additional sex effects were identified in the HCP cohort and combined (QTIM and HCP) sample (hippocampal fissure (up to 6.79%), presubiculum (up to 3.08%), and hippocampal tail (up to −0.23%)). In contrast, no sex differences were detected for the volume of the cornu ammonis (CA)2/3, CA4, Hippocampus-Amygdala Transition Area (HATA), or the granule cell layer of the dentate gyrus (GCDG). These findings show that, independent of differences in HPV, there are regionally specific sex differences in the hippocampus, which may be most prominent in the fimbria and parasubiculum. Further, given sex differences were less consistent across cohorts after controlling for BSV, adjusting for HPV rather than BSV may benefit future studies. This work may help in disentangling sex effects, and provide a better understanding of the implications of sex differences for behaviour and neuropsychiatric disorders. more...
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- 2020
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6. Novel genetic loci associated with hippocampal volume
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Derrek P. Hibar, Hieab H. H. Adams, Neda Jahanshad, Ganesh Chauhan, Jason L. Stein, Edith Hofer, Miguel E. Renteria, Joshua C. Bis, Alejandro Arias-Vasquez, M. Kamran Ikram, Sylvane Desrivières, Meike W. Vernooij, Lucija Abramovic, Saud Alhusaini, Najaf Amin, Micael Andersson, Konstantinos Arfanakis, Benjamin S. Aribisala, Nicola J. Armstrong, Lavinia Athanasiu, Tomas Axelsson, Ashley H. Beecham, Alexa Beiser, Manon Bernard, Susan H. Blanton, Marc M. Bohlken, Marco P. Boks, Janita Bralten, Adam M. Brickman, Owen Carmichael, M. Mallar Chakravarty, Qiang Chen, Christopher R. K. Ching, Vincent Chouraki, Gabriel Cuellar-Partida, Fabrice Crivello, Anouk Den Braber, Nhat Trung Doan, Stefan Ehrlich, Sudheer Giddaluru, Aaron L. Goldman, Rebecca F. Gottesman, Oliver Grimm, Michael E. Griswold, Tulio Guadalupe, Boris A. Gutman, Johanna Hass, Unn K. Haukvik, David Hoehn, Avram J. Holmes, Martine Hoogman, Deborah Janowitz, Tianye Jia, Kjetil N. Jørgensen, Nazanin Karbalai, Dalia Kasperaviciute, Sungeun Kim, Marieke Klein, Bernd Kraemer, Phil H. Lee, David C. M. Liewald, Lorna M. Lopez, Michelle Luciano, Christine Macare, Andre F. Marquand, Mar Matarin, Karen A. Mather, Manuel Mattheisen, David R. McKay, Yuri Milaneschi, Susana Muñoz Maniega, Kwangsik Nho, Allison C. Nugent, Paul Nyquist, Loes M. Olde Loohuis, Jaap Oosterlaan, Martina Papmeyer, Lukas Pirpamer, Benno Pütz, Adaikalavan Ramasamy, Jennifer S. Richards, Shannon L. Risacher, Roberto Roiz-Santiañez, Nanda Rommelse, Stefan Ropele, Emma J. Rose, Natalie A. Royle, Tatjana Rundek, Philipp G. Sämann, Arvin Saremi, Claudia L. Satizabal, Lianne Schmaal, Andrew J. Schork, Li Shen, Jean Shin, Elena Shumskaya, Albert V. Smith, Emma Sprooten, Lachlan T. Strike, Alexander Teumer, Diana Tordesillas-Gutierrez, Roberto Toro, Daniah Trabzuni, Stella Trompet, Dhananjay Vaidya, Jeroen Van der Grond, Sven J. Van der Lee, Dennis Van der Meer, Marjolein M. J. Van Donkelaar, Kristel R. Van Eijk, Theo G. M. Van Erp, Daan Van Rooij, Esther Walton, Lars T. Westlye, Christopher D. Whelan, Beverly G. Windham, Anderson M. Winkler, Katharina Wittfeld, Girma Woldehawariat, Christiane Wolf, Thomas Wolfers, Lisa R. Yanek, Jingyun Yang, Alex Zijdenbos, Marcel P. Zwiers, Ingrid Agartz, Laura Almasy, David Ames, Philippe Amouyel, Ole A. Andreassen, Sampath Arepalli, Amelia A. Assareh, Sandra Barral, Mark E. Bastin, Diane M. Becker, James T. Becker, David A. Bennett, John Blangero, Hans van Bokhoven, Dorret I. Boomsma, Henry Brodaty, Rachel M. Brouwer, Han G. Brunner, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Wiepke Cahn, Vince D. Calhoun, Dara M. Cannon, Gianpiero L. Cavalleri, Ching-Yu Cheng, Sven Cichon, Mark R. Cookson, Aiden Corvin, Benedicto Crespo-Facorro, Joanne E. Curran, Michael Czisch, Anders M. Dale, Gareth E. Davies, Anton J. M. De Craen, Eco J. C. De Geus, Philip L. De Jager, Greig I. De Zubicaray, Ian J. Deary, Stéphanie Debette, Charles DeCarli, Norman Delanty, Chantal Depondt, Anita DeStefano, Allissa Dillman, Srdjan Djurovic, Gary Donohoe, Wayne C. Drevets, Ravi Duggirala, Thomas D. Dyer, Christian Enzinger, Susanne Erk, Thomas Espeseth, Iryna O. Fedko, Guillén Fernández, Luigi Ferrucci, Simon E. Fisher, Debra A. Fleischman, Ian Ford, Myriam Fornage, Tatiana M. Foroud, Peter T. Fox, Clyde Francks, Masaki Fukunaga, J. Raphael Gibbs, David C. Glahn, Randy L. Gollub, Harald H. H. Göring, Robert C. Green, Oliver Gruber, Vilmundur Gudnason, Sebastian Guelfi, Asta K. Håberg, Narelle K. Hansell, John Hardy, Catharina A. Hartman, Ryota Hashimoto, Katrin Hegenscheid, Andreas Heinz, Stephanie Le Hellard, Dena G. Hernandez, Dirk J. Heslenfeld, Beng-Choon Ho, Pieter J. Hoekstra, Wolfgang Hoffmann, Albert Hofman, Florian Holsboer, Georg Homuth, Norbert Hosten, Jouke-Jan Hottenga, Matthew Huentelman, Hilleke E. Hulshoff Pol, Masashi Ikeda, Clifford R. Jack Jr, Mark Jenkinson, Robert Johnson, Erik G. Jönsson, J. Wouter Jukema, René S. Kahn, Ryota Kanai, Iwona Kloszewska, David S. Knopman, Peter Kochunov, John B. Kwok, Stephen M. Lawrie, Hervé Lemaître, Xinmin Liu, Dan L. Longo, Oscar L. Lopez, Simon Lovestone, Oliver Martinez, Jean-Luc Martinot, Venkata S. Mattay, Colm McDonald, Andrew M. McIntosh, Francis J. McMahon, Katie L. McMahon, Patrizia Mecocci, Ingrid Melle, Andreas Meyer-Lindenberg, Sebastian Mohnke, Grant W. Montgomery, Derek W. Morris, Thomas H. Mosley, Thomas W. Mühleisen, Bertram Müller-Myhsok, Michael A. Nalls, Matthias Nauck, Thomas E. Nichols, Wiro J. Niessen, Markus M. Nöthen, Lars Nyberg, Kazutaka Ohi, Rene L. Olvera, Roel A. Ophoff, Massimo Pandolfo, Tomas Paus, Zdenka Pausova, Brenda W. J. H. Penninx, G. Bruce Pike, Steven G. Potkin, Bruce M. Psaty, Simone Reppermund, Marcella Rietschel, Joshua L. Roffman, Nina Romanczuk-Seiferth, Jerome I. Rotter, Mina Ryten, Ralph L. Sacco, Perminder S. Sachdev, Andrew J. Saykin, Reinhold Schmidt, Helena Schmidt, Peter R. Schofield, Sigurdur Sigursson, Andrew Simmons, Andrew Singleton, Sanjay M. Sisodiya, Colin Smith, Jordan W. Smoller, Hilkka Soininen, Vidar M. Steen, David J. Stott, Jessika E. Sussmann, Anbupalam Thalamuthu, Arthur W. Toga, Bryan J. Traynor, Juan Troncoso, Magda Tsolaki, Christophe Tzourio, Andre G. Uitterlinden, Maria C. Valdés Hernández, Marcel Van der Brug, Aad van der Lugt, Nic J. A. van der Wee, Neeltje E. M. Van Haren, Dennis van ’t Ent, Marie-Jose Van Tol, Badri N. Vardarajan, Bruno Vellas, Dick J. Veltman, Henry Völzke, Henrik Walter, Joanna M. Wardlaw, Thomas H. Wassink, Michael E. Weale, Daniel R. Weinberger, Michael W. Weiner, Wei Wen, Eric Westman, Tonya White, Tien Y. Wong, Clinton B. Wright, Ronald H. Zielke, Alan B. Zonderman, Nicholas G. Martin, Cornelia M. Van Duijn, Margaret J. Wright, W. T. Longstreth, Gunter Schumann, Hans J. Grabe, Barbara Franke, Lenore J. Launer, Sarah E. Medland, Sudha Seshadri, Paul M. Thompson, and M. Arfan Ikram more...
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Science - Abstract
The hippocampus in mammalian brain varies in size across individuals. Here, Hibar and colleagues perform a genome-wide association meta-analysis to find six genetic loci with significant association to hippocampus volume. more...
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- 2017
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7. Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data
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Peter Kochunov, Binish Patel, Habib Ganjgahi, Brian Donohue, Meghann Ryan, Elliot L. Hong, Xu Chen, Bhim Adhikari, Neda Jahanshad, Paul M. Thompson, Dennis Van’t Ent, Anouk den Braber, Eco J. C. de Geus, Rachel M. Brouwer, Dorret I. Boomsma, Hilleke E. Hulshoff Pol, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, and Thomas E. Nichols more...
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DTI ,heritability ,imaging genetics ,reproducability ,genetics ,population ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Imaging genetic analyses use heritability calculations to measure the fraction of phenotypic variance attributable to additive genetic factors. We tested the agreement between heritability estimates provided by four methods that are used for heritability estimates in neuroimaging traits. SOLAR-Eclipse and OpenMx use iterative maximum likelihood estimation (MLE) methods. Accelerated Permutation inference for ACE (APACE) and fast permutation heritability inference (FPHI), employ fast, non-iterative approximation-based methods. We performed this evaluation in a simulated twin-sibling pedigree and phenotypes and in diffusion tensor imaging (DTI) data from three twin-sibling cohorts, the human connectome project (HCP), netherlands twin register (NTR) and BrainSCALE projects provided as a part of the enhancing neuro imaging genetics analysis (ENIGMA) consortium. We observed that heritability estimate may differ depending on the underlying method and dataset. The heritability estimates from the two MLE approaches provided excellent agreement in both simulated and imaging data. The heritability estimates for two approximation approaches showed reduced heritability estimates in datasets with deviations from data normality. We propose a data homogenization approach (implemented in solar-eclipse; www.solar-eclipse-genetics.org) to improve the convergence of heritability estimates across different methods. The homogenization steps include consistent regression of any nuisance covariates and enforcing normality on the trait data using inverse Gaussian transformation. Under these conditions, the heritability estimates for simulated and DTI phenotypes produced converging heritability estimates regardless of the method. Thus, using these simple suggestions may help new heritability studies to provide outcomes that are comparable regardless of software package. more...
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- 2019
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8. Heritability of the shape of subcortical brain structures in the general population
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Gennady V. Roshchupkin, Boris A. Gutman, Meike W. Vernooij, Neda Jahanshad, Nicholas G. Martin, Albert Hofman, Katie L. McMahon, Sven J. van der Lee, Cornelia M. van Duijn, Greig I. de Zubicaray, André G. Uitterlinden, Margaret J. Wright, Wiro J. Niessen, Paul M. Thompson, M. Arfan Ikram, and Hieab H. H. Adams more...
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Science - Abstract
The volume of subcortical brain structures is known to be heritable. Here, Roshchupkin and colleagues studied seven different subcortical brain structures in the general population and show that the genetic contributions go beyond these volumetric measurements, and also extend to their shapes. more...
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- 2016
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9. Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA).
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Iyad Ba Gari, Shayan Javid, Alyssa H. Zhu, Shruti Prashant Gadewar, Siddharth Narula, Abhinaav Ramesh, Sophia I. Thomopoulos, Lachlan T. Strike, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson, Talia M. Nir, and Neda Jahanshad more...
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- 2023
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10. Neural Correlates of Naturally Occurring Speech Errors during Picture Naming in Healthy Participants.
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Angélique Volfart, Katie L. McMahon, David Howard, and Greig I. de Zubicaray
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- 2023
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11. A Sound Explanation for Motor Cortex Engagement during Action Word Comprehension.
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Greig I. de Zubicaray, Katie L. McMahon, and Joanne Arciuli
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- 2021
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12. Multi-Site Meta-Analysis of Morphometry.
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Neda Jahanshad, Joshua Faskowitz, Gennady V. Roshchupkin, Derrek P. Hibar, Boris A. Gutman, Nicholas J. Tustison, Hieab H. H. Adams, Wiro J. Niessen, Meike W. Vernooij, Mohammad Arfan Ikram, Marcel P. Zwiers, Alejandro Arias-Vasquez, Barbara Franke, Jennifer L. Kroll, Benson Mwangi, Jair C. Soares, Alex Ing, Sylvane Desrivières, Gunter Schumann, Narelle K. Hansell, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson more...
- Published
- 2019
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13. The Shape of Things to Come in Speech Production: A Functional Magnetic Resonance Imaging Study of Visual Form Interference during Lexical Access.
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Hanna S. Gauvin, Katie L. McMahon, Marcus Meinzer, and Greig I. de Zubicaray
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- 2019
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14. Neural Mechanisms for Monitoring and Halting of Spoken Word Production.
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Samuel J. Hansen, Katie L. McMahon, and Greig I. de Zubicaray
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- 2019
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15. A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines.
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George W. Hafzalla, Anjanibhargavi Ragothaman, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Gautam Prasad, and Paul M. Thompson
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- 2017
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16. Approximating principal genetic components of subcortical shape.
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Boris A. Gutman, Fabrizio Pizzagalli, Neda Jahanshad, Margaret J. Wright, Katie L. McMahon, Greig I. de Zubicaray, and Paul M. Thompson
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- 2017
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17. Mapping age effects along fiber tracts in young adults.
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Emily L. Dennis, Faisal Rashid, Joshua Faskowitz, Yan Jin 0001, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Ian B. Hickie, Margaret J. Wright, Neda Jahanshad, and Paul M. Thompson
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- 2017
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18. On the roles of form systematicity and sensorimotor effects in language processing
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Greig I. de Zubicaray, Joanne Arciuli, Elaine Kearney, Frank Guenther, and Katie L. McMahon
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Linguistics and Language ,Experimental and Cognitive Psychology ,Language and Linguistics - Abstract
Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English; i.e., form systematicity. In Study 1, principal components analysis revealed that BOI and form systematicity measures load on a common component, indicating they convey similar information about the probability of a word belonging to a particular syntactic category. In Studies 2, 3, and 4, form systematicity measures were stronger predictors of English Lexicon Project (ELP; Balota et al., 2007), Auditory English Lexicon Project (AELP; Goh et al., 2020), and English Crowdsourcing Project (ECP; Mandera et al., 2020) performance than BOI. In Study 5, BOI was a stronger predictor of performance from the Calgary Semantic Decision Project (CSDP; Pexman et al., 2017) than form systematicity. In Study 6, only form systematicity significantly predicted performance from the LinguaPix object naming megastudy (KrautzKeuleers, 2022). Together, these results demonstrate that nonarbitrary statistical relationships in the form of mappings between ortho-phonological information and meaning are accessed automatically during language processing; i.e., even when syntactic category is not relevant to the task, and that sensorimotor simulation mechanisms are only strongly engaged when explicitly demanded by the task. We discuss the implications of these findings for proposals of embodied or grounded cognition and interpretations of neuroimaging data from word recognition tasks. (PsycInfo Database Record (c) 2022 APA, all rights reserved). more...
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- 2023
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19. Genetic analysis of cortical sulci in 1, 009 adults.
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Fabrizio Pizzagalli, Guillaume Auzias, Peter V. Kochunov, Joshua I. Faskowitz, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, and Paul M. Thompson
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- 2016
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20. Neural Correlates of Naturally Occurring Speech Errors during Picture Naming in Healthy Participants
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Angelique Volfart, Katie L. McMahon, David Howard, and Greig I. de Zubicaray
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Adult ,Brain Mapping ,Cognitive Neuroscience ,Aphasia ,Humans ,Speech ,Brain ,Magnetic Resonance Imaging ,Healthy Volunteers ,Semantics - Abstract
Most of our knowledge about the neuroanatomy of speech errors comes from lesion-symptom mapping studies in people with aphasia and laboratory paradigms designed to elicit primarily phonological errors in healthy adults, with comparatively little evidence from naturally occurring speech errors. In this study, we analyzed perfusion fMRI data from 24 healthy participants during a picture naming task, classifying their responses into correct and different speech error types (e.g., semantic, phonological, omission errors). Total speech errors engaged a wide set of left-lateralized frontal, parietal, and temporal regions that were almost identical to those involved during the production of correct responses. We observed significant perfusion signal decreases in the left posterior middle temporal gyrus and inferior parietal lobule (angular gyrus) for semantic errors compared to correct trials matched on various psycholinguistic variables. In addition, the left dorsal caudate nucleus showed a significant perfusion signal decrease for omission (i.e., anomic) errors compared with matched correct trials. Surprisingly, we did not observe any significant perfusion signal changes in brain regions proposed to be associated with monitoring mechanisms during speech production (e.g., ACC, superior temporal gyrus). Overall, our findings provide evidence for distinct neural correlates of semantic and omission error types, with anomic speech errors likely resulting from failures to initiate articulatory–motor processes rather than semantic knowledge impairments as often reported for people with aphasia. more...
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- 2022
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21. Brain Lesions Associated with Communication-Related Quality of Life Following Surgical Removal of Primary Left-Hemisphere Tumours
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Elaine Kearney, Sonia L. E. Brownsett, David A. Copland, Katharine J. Drummond, Rosalind L. Jeffree, Sarah Olson, Emma Murton, Benjamin Ong, Gail A. Robinson, Valeriya Tolkacheva, Katie L. McMahon, and Greig I. de Zubicaray more...
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Linguistics and Language ,Neurology ,Otorhinolaryngology ,Developmental and Educational Psychology ,Neurology (clinical) ,LPN and LVN ,Language and Linguistics - Published
- 2022
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22. Relationship of a common OXTR gene variant to brain structure and default mode network function in healthy humans.
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Junping Wang, Meredith N. Braskie, George W. Hafzalla, Joshua Faskowitz, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Chunshui Yu, and Paul M. Thompson
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- 2017
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23. Heritability of brain network topology in 853 twins and siblings.
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Liang Zhan, Neda Jahanshad, Joshua Faskowitz, Dajiang Zhu, Gautam Prasad, Nicholas G. Martin, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, and Paul M. Thompson
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- 2015
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24. Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins.
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Dajiang Zhu, Liang Zhan, Joshua Faskowitz, Madelaine Daianu, Neda Jahanshad, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
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- 2015
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25. Genes influence the amplitude and timing of brain hemodynamic responses.
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Zuyao Y. Shan, Anna A. E. Vinkhuyzen, Paul M. Thompson, Katie L. McMahon, Gabriëlla A. M. Blokland, Greig I. de Zubicaray, Vince D. Calhoun, Nicholas G. Martin, Peter M. Visscher, Margaret J. Wright, and David C. Reutens more...
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- 2016
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26. Heritability and reliability of automatically segmented human hippocampal formation subregions.
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Christopher D. Whelan, Derrek P. Hibar, Laura S. van Velzen, Anthony S. Zannas, Tania Carrillo-Roa, Katie McMahon, Gautam Prasad, Sinead Kelly, Joshua Faskowitz, Greig I. de Zubicaray, Juan Eugenio Iglesias, Theo G. M. van Erp, Thomas Frodl, Nicholas G. Martin, Margaret J. Wright, Neda Jahanshad, Lianne Schmaal, Philipp G. Sämann, and Paul M. Thompson more...
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- 2016
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27. Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group.
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Neda Jahanshad, Peter V. Kochunov, Thomas E. Nichols, Emma Sprooten, René C. W. Mandl, Laura Almasy, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaître, Lorna M. Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, Dorret I. Boomsma, René S. Kahn, Anouk den Braber, Ian J. Deary, Hilleke E. Hulshoff Pol, Douglas Williamson, John Blangero, Dennis van 't Ent, David C. Glahn, and Paul M. Thompson more...
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- 2014
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28. Identifying candidate gene effects by restricting search space in a multivariate genetic analysis of white matter microstructure.
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Nicholus M. Warstadt, Neda Jahanshad, Emily L. Dennis, Omid Kohannim, Katie McMahon, Greig I. de Zubicaray, Grant W. Montgomery, Anjali K. Henders, Nicholas G. Martin, John B. Whitfield, Margaret J. Wright, and Paul M. Thompson more...
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- 2014
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29. Persistence of Anxiety/Depression Symptoms in Early Adolescence: A Prospective Study of Daily Life Stress, Rumination, and Daytime Sleepiness in a Genetically Informative Cohort
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Narelle K. Hansell, Lachlan T. Strike, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, and Margaret J. Wright
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Adolescent ,Depression ,Pediatrics, Perinatology and Child Health ,Humans ,Obstetrics and Gynecology ,Disorders of Excessive Somnolence ,Prospective Studies ,Anxiety ,Stress, Psychological ,Genetics (clinical) - Abstract
In this prospective study of mental health, we examine the influence of three interrelated traits — perceived stress, rumination, and daytime sleepiness — and their association with symptoms of anxiety and depression in early adolescence. Given the known associations between these traits, an important objective is to determine the extent to which they may independently predict anxiety/depression symptoms. Twin pairs from the Queensland Twin Adolescent Brain (QTAB) project were assessed on two occasions (N= 211 pairs aged 9−14 years at baseline and 152 pairs aged 10−16 years at follow-up). Linear regression models and quantitative genetic modeling were used to analyze the data. Prospectively, perceived stress, rumination, and daytime sleepiness accounted for 8−11% of the variation in later anxiety/depression; familial influences contributed strongly to these associations. However, only perceived stress significantly predicted change in anxiety/depression, accounting for 3% of variance at follow-up after adjusting for anxiety/depression at baseline, although it did not do so independently of rumination and daytime sleepiness. Bidirectional effects were found between all traits over time. These findings suggest an underlying architecture that is shared, to some degree, by all traits, while the literature points to hypothalamic–pituitary–adrenal (HPA) axis and/or circadian systems as potential sources of overlapping influence and possible avenues for intervention. more...
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- 2022
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30. Genetic Specificity of Hippocampal Subfield Volumes, Relative to Hippocampal Formation, Identified in 2148 Young Adult Twins and Siblings
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Narelle K. Hansell, Lachlan T. Strike, Liza van Eijk, Victoria O’Callaghan, Nicholas G. Martin, Greig I. de Zubicaray, Paul M. Thompson, Katie L. McMahon, and Margaret J. Wright
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Adult ,Young Adult ,Siblings ,Pediatrics, Perinatology and Child Health ,Twins ,Brain ,Humans ,Obstetrics and Gynecology ,Hippocampus ,Magnetic Resonance Imaging ,Genetics (clinical) - Abstract
The hippocampus is a complex brain structure with key roles in cognitive and emotional processing and with subregion abnormalities associated with a range of disorders and psychopathologies. Here we combine data from two large independent young adult twin/sibling cohorts to obtain the most accurate estimates to date of genetic covariation between hippocampal subfield volumes and the hippocampus as a single volume. The combined sample included 2148 individuals, comprising 1073 individuals from 627 families (mean age = 22.3 years) from the Queensland Twin IMaging (QTIM) Study, and 1075 individuals from 454 families (mean age = 28.8 years) from the Human Connectome Project (HCP). Hippocampal subfields were segmented using FreeSurfer version 6.0 (CA4 and dentate gyrus were phenotypically and genetically indistinguishable and were summed to a single volume). Multivariate twin modeling was conducted in OpenMx to decompose variance into genetic and environmental sources. Bivariate analyses of hippocampal formation and each subfield volume showed that 10%–72% of subfield genetic variance was independent of the hippocampal formation, with greatest specificity found for the smaller volumes; for example, CA2/3 with 42% of genetic variance being independent of the hippocampus; fissure (63%); fimbria (72%); hippocampus-amygdala transition area (41%); parasubiculum (62%). In terms of genetic influence, whole hippocampal volume is a good proxy for the largest hippocampal subfields, but a poor substitute for the smaller subfields. Additive genetic sources accounted for 49%–77% of total variance for each of the subfields in the combined sample multivariate analysis. In addition, the multivariate analyses were sufficiently powered to identify common environmental influences (replicated in QTIM and HCP for the molecular layer and CA4/dentate gyrus, and accounting for 7%–16% of total variance for 8 of 10 subfields in the combined sample). This provides the clearest indication yet from a twin study that factors such as home environment may influence hippocampal volumes (albeit, with caveats). more...
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- 2022
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31. SCN1A overexpression, associated with a genomic region marked by a risk variant for a common epilepsy, raises seizure susceptibility
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Katri Silvennoinen, Kinga Gawel, Despina Tsortouktzidis, Julika Pitsch, Saud Alhusaini, Karen M. J. van Loo, Richard Picardo, Zuzanna Michalak, Susanna Pagni, Helena Martins Custodio, James Mills, Christopher D. Whelan, Greig I. de Zubicaray, Katie L. McMahon, Wietske van der Ent, Karolina J. Kirstein-Smardzewska, Ettore Tiraboschi, Jonathan M. Mudge, Adam Frankish, Maria Thom, Margaret J. Wright, Paul M. Thompson, Susanne Schoch, Albert J. Becker, Camila V. Esguerra, and Sanjay M. Sisodiya more...
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Epilepsy ,Sclerosis ,Genomics ,Zebrafish Proteins ,Hippocampus ,Seizures, Febrile ,Pathology and Forensic Medicine ,NAV1.1 Voltage-Gated Sodium Channel ,Cellular and Molecular Neuroscience ,Epilepsy, Temporal Lobe ,Animals ,Humans ,Gliosis ,Neurology (clinical) ,Zebrafish - Abstract
Acta Neuropathol (Berl) 144(1), 107-127 (2022). doi:10.1007/s00401-022-02429-0, Published by Springer, Berlin ; Heidelberg
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- 2022
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32. Cortical thickness across the lifespan
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Simon E. Fisher, Eveline A. Crone, Dominik Grotegerd, Jilly Naaijen, Anders M. Dale, Sean N. Hatton, Ramona Baur-Streubel, Anthony A. James, Daniel Brandeis, Andrew J. Kalnin, Andreas Reif, Hans-Jörgen Grabe, Pieter J. Hoekstra, Lars Nyberg, Fleur M. Howells, Moji Aghajani, Randy L. Buckner, Daniel A. Rinker, Steven G. Potkin, Dennis van 't Ent, Rachel M. Brouwer, Sophia Frangou, Yang Wang, Nhat Trung Doan, Theodore D. Satterthwaite, Christine Lochner, Geraldo F. Busatto, Lars T. Westlye, Lara M. Wierenga, Calhoun Vd, Henry Brodaty, Carles Soriano-Mas, Annette Conzelmann, Christian K. Tamnes, Julian N. Trollor, Nicholas G. Martin, Neeltje E.M. van Haren, René S. Kahn, Irina Lebedeva, Philip Asherson, Suzanne C. Swagerman, John A. Joska, Theophilus N. Akudjedu, Kang Sim, Lachlan T. Strike, Patricia Gruner, Brenna C. McDonald, Thomas Frodl, Edith Pomarol-Clotet, Víctor Ortiz-García de la Foz, Margaret J. Wright, Norbert Hosten, Jean-Paul Fouche, Bernd Weber, Salvador Sarró, Wei Wen, Dag Alnæs, Greig I. de Zubicaray, Iris E. C. Sommer, Marise W. J. Machielsen, Knut Schnell, Dara M. Cannon, Paola Fuentes-Claramonte, Josiane Bourque, Andreas Meyer-Lindenberg, Anton Albajes-Eizagirre, Sarah Hohmann, Erin W. Dickie, Theo G.M. van Erp, Micael Andersson, Paul Pauli, Thomas Espeseth, Heather C. Whalley, Victoria Chubar, Ruben C. Gur, Tomohiro Nakao, Xavier Caseras, Alessandro Bertolino, Ignacio Martínez-Zalacaín, Katharina Wittfeld, Erick J. Canales-Rodríguez, David C. Glahn, Neda Jahanshad, Jiyang Jiang, Katie L. McMahon, Stefan Borgwardt, Erlend S. Dørum, Jaap Oosterlaan, Won Hee Lee, Alan Breier, Steven Williams, Aristotle N. Voineskos, Bernard Mazoyer, Jordan W. Smoller, Nancy C. Andreasen, Ilya M. Veer, Tiffany M. Chaim-Avancini, Sophie Maingault, Paul M. Thompson, Eco J. C. de Geus, Luisa Lázaro, Giulio Pergola, Efstathios Papachristou, Beng-Choon Ho, David Mataix-Cols, Esther Walton, Ben J. Harrison, Dirk J. Heslenfeld, Pablo Najt, Helena Fatouros-Bergman, Derrek P. Hibar, Gunter Schumann, Raymond Salvador, Lieuwe de Haan, Henry Völzke, Joaquim Radua, Henk Temmingh, Lianne Schmaal, Martine Hoogman, Daniel H. Wolf, Georg C. Ziegler, Marieke Klein, Barbara Franke, Erik G. Jönsson, Laura Koenders, Stefan Ehrlich, Oliver Gruber, Ingrid Agartz, Kun Yang, Ryota Kanai, Sarah Baumeister, Colm McDonald, Annabella Di Giorgio, Amanda Worker, Anne Uhlmann, Marcus V. Zanetti, Danai Dima, Matthew D. Sacchet, Sarah E. Medland, Aurora Bonvino, Benedicto Crespo-Facorro, Jan Egil Nordvik, Joshua L. Roffman, Yannis Paloyelis, Jessica A. Turner, T. P. Klyushnik, Christopher G. Davey, Rachel E. Gur, Ian B. Hickie, Christopher R.K. Ching, Jonna Kuntsi, Tobias Banaschewski, Chaim Huyser, Amirhossein Modabbernia, John D. West, Fabrice Crivello, Núria Bargalló, Patricia J. Conrod, Nic J.A. van der Wee, Mauricio H. Serpa, Thomas H. Wassink, Kathryn I. Alpert, Dick J. Veltman, Andrew J. Saykin, Genevieve McPhilemy, Perminder S. Sachdev, Vincent P. Clark, Ian H. Gotlib, Susanne Erk, Henrik Walter, Dennis van den Meer, Simon Cervenka, Oliver Grimm, Andrew M. McIntosh, Alexander Tomyshev, Francisco X. Castellanos, Bernd Kramer, Klaus-Peter Lesch, Odile A. van den Heuvel, Sophia I. Thomopoulos, Diana Tordesillas-Gutiérrez, Terry L. Jernigan, Yulyia Yoncheva, Anouk den Braber, Jim Lagopoulos, Maria J. Portella, Ole A. Andreassen, Gaelle E. Doucet, Avram J. Holmes, Nynke A. Groenewold, Pedro G.P. Rosa, Hilleke E. Hulshoff Pol, Sanne Koops, José M. Menchón, Jan K. Buitelaar, Dan J. Stein, Dorret I. Boomsma, Lei Wang, C.A. Hartman, Pascual Sánchez-Juan, Andreas Heinz, European Commission, National Institute of Child Health and Human Development (US), QIMR Berghofer Medical Research Institute (Australia), University of Queensland, National Cancer Institute (US), Dutch Research Council, Netherlands Organisation for Health Research and Development, National Institute of Mental Health (US), European Research Council, National Center for Advancing Translational Sciences (US), Medical Research Council (UK), Fundación Marques de Valdecilla, Instituto de Salud Carlos III, Swedish Research Council, South-Eastern Norway Regional Health Authority, Research Council of Norway, Icahn School of Medicine at Mount Sinai, South London and Maudsley NHS Foundation Trust, NHS Foundation Trust, National Institute for Health Research (UK), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Developmental Neuroscience in Society, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, APH - Mental Health, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, General Paediatrics, ARD - Amsterdam Reproduction and Development, Karolinska Schizophrenia Project (KaSP), Ontwikkelingspsychologie (Psychologie, FMG), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Epidemiology and Data Science, Neurology, Amsterdam Neuroscience - Neurodegeneration, Pediatric surgery, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Brain Imaging, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Biological Psychology, APH - Methodology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Educational and Family Studies, Cognitive Psychology, IBBA, Clinical Neuropsychology, Faculty of Behavioural and Movement Sciences, and APH - Personalized Medicine more...
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Male ,Aging ,Neurologi ,Audiology ,Trajectories ,0302 clinical medicine ,130 000 Cognitive Neurology & Memory ,diagnostic imaging [Cerebral Cortex] ,Child ,Research Articles ,Cerebral Cortex ,Psychiatry ,Aged, 80 and over ,Radiological and Ultrasound Technology ,Fractional polynomial ,05 social sciences ,Radiology, Nuclear Medicine & Medical Imaging ,1. No poverty ,Cognition ,Middle Aged ,Cerebral cortex ,Regression ,3. Good health ,Escorça cerebral ,Neurology ,Radiology Nuclear Medicine and imaging ,Healthy individuals ,Child, Preschool ,anatomy & histology [Cerebral Cortex] ,Female ,Analysis of variance ,Anatomy ,Life Sciences & Biomedicine ,Trajectorie ,Research Article ,Neuroinformatics ,Adult ,medicine.medical_specialty ,Adolescent ,Human Development ,Clinical Neurology ,BF ,Neuroimaging ,Biology ,Development ,050105 experimental psychology ,Psykiatri ,Cortical thickness ,03 medical and health sciences ,Young Adult ,Neuroimaging genetics ,Envelliment ,medicine ,Humans ,trajectories ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,ddc:610 ,development ,Aged ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Science & Technology ,Brain morphometry ,aging ,Neurosciences ,cortical thickness ,Cross-Sectional Studies ,RC0321 ,Neurology (clinical) ,Neurosciences & Neurology ,030217 neurology & neurosurgery ,physiology [Human Development] - Abstract
Special Issue: The ENIGMA Consortium: the first 10 years., Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes., European Community's Seventh Framework Programme, Grant/Award Numbers: 278948, 602450, 603016, 602805; US National Institute of Child Health and Human Development, Grant/Award Numbers: RO1HD050735, 1009064, 496682; QIMR Berghofer Medical Research Institute and the Centre for Advanced Imaging, University of Queensland; ICTSI NIH/NCRR, Grant/Award Number: RR025761; European Community's Horizon 2020 Programme, Grant/Award Numbers: 667302, 643051; Vici Innovation Program, Grant/Award Numbers: #91619115, 016-130-669; NWO Brain & Cognition Excellence Program, Grant/Award Number: 433-09-229; Biobanking and Biomolecular Resources Research Infrastructure (Netherlands) (BBMRI-NL); Spinozapremie, Grant/Award Number: NWO-56-464-14192; Biobanking and Biomolecular Resources Research Infrastructure, Grant/Award Numbers: 184.033.111, 184.021.007; Netherlands Organization for Health Research and Development (ZonMW), Grant/Award Numbers: 480-15-001/674, 024.001.003, 911-09-032, 056-32-010, 481-08-011, 016-115-035, 31160008, 400-07-080, 400-05-717, 451-04-034, 463-06-001, 480-04-004, 904-61-193, 912-10-020, 985-10-002, 904-61-090; NIMH, Grant/Award Number: R01 MH090553; Geestkracht programme of the Dutch Health Research Council, Grant/Award Number: 10-000-1001; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Grant/Award Numbers: NWO/SPI 56-464-14192, NWO-MagW 480-04-004, 433-09-220, NWO 51.02.062, NWO 51.02.061; National Center for Advancing Translational Sciences, National Institutes of Health, Grant/Award Number: UL1 TR000153; National Center for Research Resources; National Center for Research Resources at the National Institutes of Health, Grant/Award Numbers: NIH 1U24 RR025736-01, NIH 1U24 RR021992; NIH Institutes contributing to the Big Data to Knowledge; U.S. National Institutes of Health, Grant/Award Numbers: R01 CA101318, P30 AG10133, R01 AG19771; Medical Research Council, Grant/Award Numbers: U54EB020403, G0500092; National Institute of Mental Health, Grant/Award Numbers: R01MH117014, R01MH042191; Fundación Instituto de Investigación Marqués de Valdecilla, Grant/Award Numbers: API07/011, NCT02534363, NCT0235832; Instituto de Salud Carlos III, Grant/Award Numbers: PI14/00918, PI14/00639, PI060507, PI050427, PI020499; Swedish Research Council, Grant/Award Numbers: 523-2014-3467, 2017-00949, 521-2014-3487; South-Eastern Norway Health Authority; the Research Council of Norway, Grant/Award Number: 223273; South Eastern Norway Regional Health Authority, Grant/Award Numbers: 2017-112, 2019107; Icahn School of Medicine at Mount Sinai; Seventh Framework Programme (FP7/2007-2013), Grant/Award Number: 602450; National Institutes of Health, Grant/Award Numbers: R01 MH116147, R01 MH113619, R01 MH104284; South London and Maudsley NHS Foundation Trust; the National Institute for Health Research (NIHR) more...
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- 2022
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33. Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization
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Ruiyang Ge, Yuetong Yu, Yi Xuan Qi, Yunan Vera Fan, Shiyu Chen, Chuntong Gao, Shalaila S Haas, Amirhossein Modabbernia, Faye New, Ingrid Agartz, Philip Asherson, Rosa Ayesa-Arriola, Nerisa Banaj, Tobias Banaschewski, Sarah Baumeister, Alessandro Bertolino, Dorret I Boomsma, Stefan Borgwardt, Josiane Bourque, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M Brouwer, Randy Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Simon Cervenka, Patricia J Conrod, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline A Crone, Liewe de Haan, Greig I de Zubicaray, Annabella Di Giorgio, Susanne Erk, Simon E Fisher, Barbara Franke, Thomas Frodl, David C Glahn, Dominik Grotegerd, Oliver Gruber, Patricia Gruner, Raquel E Gur, Ruben C Gur, Ben J Harrison, Sean N Hatton, Ian Hickie, Fleur M Howells, Hilleke E Hulshoff Pol, Chaim Huyser, Terry L Jernigan, Jiyang Jiang, John A Joska, Rene S Kahn, Andrew J Kalnin, Nicole A Kochan, Sanne Koops, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina S Lebedeva, Christine Lochner, Nicholas G Martin, Bernard Mazoyer, Brenna C McDonald, Colm McDonald, Katie L McMahon, Tomohiro Nakao, Lars Nyberg, Fabrizio Piras, Maria J Portella, Jiang Qiu, Joshua L Roffman, Perminder S Sachdev, Nicole Sanford, Andrew J Saykin, Theodore D Satterthwaite, Sophia I Thomopolous, Carl M Sellgren, Kang Sim, Jordan W Smoller, Jair Soares, Iris E Sommer, Gianfranco Spalletta, Dan J Stein, Christian K Tamnes, Alexander S Tomyshev, Theo GM van Erp, Diana Tordesillas-Gutierrez, Julian N Trollor, Dennis van 't Ent, Odile A van den Heuvel, Neeltje EM van Haren, Daniela Vecchio, Dick J Veltman, Dongtao Wei, Henrik Walter, Yang Wang, Bernd Weber, Margaret J Wright, Wei Wen, Lars T Westlye, Lara M Wierenga, Paul M Thompson, Steven CR Williams, Sarah Medland, Mon-Ju Wu, Kevin Yu, Neda Jahanshad, and Sophia Frangou more...
- Abstract
Background: Normative modeling is a statistical approach to quantify the degree to which a particular individual-level measure deviates from the pattern observed in a normative reference population. When applied to human brain morphometric measures it has the potential to inform about the significance of normative deviations for health and disease. Normative models can be implemented using a variety of algorithms that have not been systematically appraised. Methods: To address this gap, eight algorithms were compared in terms of performance and computational efficiency using brain regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) collated from 87 international MRI datasets. Performance was assessed with the mean absolute error (MAE) and computational efficiency was inferred from central processing unit (CPU) time. The algorithms evaluated were Ordinary Least Squares Regression (OLSR), Bayesian Linear Regression (BLR), Generalized Additive Models for Location, Scale, and Shape (GAMLSS), Parametric Lambda, Mu, Sigma (LMS), Gaussian Process Regression (GPR), Warped Bayesian Linear Regression (WBLG), Hierarchical Bayesian Regression (HBR), and Multivariable Fractional Polynomial Regression (MFPR). Model optimization involved testing nine covariate combinations pertaining to acquisition features, parcellation software versions, and global neuroimaging measures (i.e., total intracranial volume, mean cortical thickness, and mean cortical surface area). Findings: Statistical comparisons across models at PFDR more...
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- 2023
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34. Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data.
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Peter V. Kochunov, Neda Jahanshad, Daniel S. Marcus, Anderson M. Winkler, Emma Sprooten, Thomas E. Nichols, Susan N. Wright, L. Elliot Hong, Binish Patel, Timothy Behrens, Saâd Jbabdi, Jesper L. R. Andersson, Christophe Lenglet, Essa Yacoub, Steen Moeller, Eddie Auerbach, Kâmil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart J. Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, and Peter T. Fox more...
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- 2015
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35. Heritability of the network architecture of intrinsic brain functional connectivity.
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Benjamin Sinclair, Narelle K. Hansell, Gabriëlla A. M. Blokland, Nicholas G. Martin, Paul M. Thompson, Michael Breakspear, Greig I. de Zubicaray, Margaret J. Wright, and Katie L. McMahon
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- 2015
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36. Early and Late Electrophysiological Effects of Distractor Frequency in Picture Naming: Reconciling Input and Output Accounts.
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Stephanie K. Riès, Douglas Fraser, Katie L. McMahon, and Greig I. de Zubicaray
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- 2015
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37. Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics.
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Yan Jin 0001, Yonggang Shi, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
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- 2013
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38. Development of the 'rich club' in brain connectivity networks from 438 adolescents & adults aged 12 to 30.
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Emily L. Dennis, Neda Jahanshad, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Ian B. Hickie, Margaret J. Wright, and Paul M. Thompson
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- 2013
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39. Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects.
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Liang Zhan, Neda Jahanshad, Yan Jin 0001, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
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- 2013
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40. Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts.
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Derrek P. Hibar, Jason L. Stein, Neda Jahanshad, Omid Kohannim, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Michael W. Weiner, and Paul M. Thompson more...
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- 2013
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41. Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies.
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Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen 0001, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, and Paul M. Thompson more...
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- 2013
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42. Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging.
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Neda Jahanshad, Peter V. Kochunov, David C. Glahn, John Blangero, Thomas E. Nichols, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Clifford R. Jack Jr., Matt A. Bernstein, Michael W. Weiner, Arthur W. Toga, and Paul M. Thompson more...
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- 2013
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43. Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model.
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Neda Jahanshad, Priya Bhatt, Derrek P. Hibar, Julio Villalon, Talia M. Nir, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Michael W. Weiner, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson more...
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- 2013
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44. Left versus right hemisphere differences in brain connectivity: 4-Tesla HARDI tractography in 569 twins.
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Madelaine Daianu, Neda Jahanshad, Emily L. Dennis, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Ian B. Hickie, and Paul M. Thompson
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- 2012
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45. Diffusion imaging protocol effects on genetic associations.
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Neda Jahanshad, Omid Kohannim, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Narelle K. Hansell, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
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- 2012
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46. Genetic influences on sulcal patterns of the brain.
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Shantanu H. Joshi, Anand A. Joshi, Boris Gutman, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
- Published
- 2012
- Full Text
- View/download PDF
47. Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults.
- Author
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Emily L. Dennis, Neda Jahanshad, Arthur W. Toga, Kori Johnson, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Ian B. Hickie, Margaret J. Wright, and Paul M. Thompson
- Published
- 2012
- Full Text
- View/download PDF
48. Discovery of genes that affect human brain connectivity: A genome-wide analysis of the connectome.
- Author
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Neda Jahanshad, Derrek P. Hibar, April Ryles, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Narelle K. Hansell, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson more...
- Published
- 2012
- Full Text
- View/download PDF
49. Test-Retest Reliability of Graph Theory Measures of Structural Brain Connectivity.
- Author
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Emily L. Dennis, Neda Jahanshad, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
- Published
- 2012
- Full Text
- View/download PDF
50. Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.
- Author
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Yan Jin 0001, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson
- Published
- 2012
- Full Text
- View/download PDF
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