1. A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
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Jacqueline Mayoral-van Son, Dana Nguyen, Esther Walton, Vince D. Calhoun, Boris A. Gutman, Pedro G.P. Rosa, Geraldo Busatto Filho, Adrian Preda, Margie Wright, Esther Setién-Suero, Bryon A. Mueller, Fleur M. Howells, Daniel H. Mathalon, Arvin Saremi, Fabrizio Piras, Salvador Sarró, Gianfranco Spalletta, Katie L. McMahon, Judith M. Ford, Lawrence Faziola, Juan R. Bustillo, Fabienne Schönborn-Harrisberger, Alexander J. Huang, Erin W. Dickie, Simon Cervenka, Lei Wang, Shan Cong, Theodore D. Satterthwaite, Anthony A. James, Edith Pomarol-Clotet, Steven G. Potkin, Erick J. Canales-Rodríguez, Kaleda Vg, Dara M. Cannon, Lars T. Westlye, Aiden Corvin, Andrea Weideman, Mauricio H. Serpa, Ole A. Andreassen, Dmitry Isaev, Giuseppe Ducci, Neda Jahanshad, Colm McDonald, Helena Fatouros-Bergman, Theo G.M. van Erp, John G. Csernansky, Dag Alnæs, Kathryn I. Alpert, Laurena Holleran, Li Shen, Dan J. Stein, Peter Kochunov, Raymond Salvador, Artemis Zavaliangos-Petropulu, Nerisa Banaj, Timothy J. Crow, Paola Fuentes-Claramonte, Federica Piras, Jessica A. Turner, Derin Cobia, Christopher R.K. Ching, Derek W. Morris, Paul M. Thompson, Nhat Trung Doan, Diana Tordesillas-Gutiérrez, Benedicto Crespo-Facorro, Alexander Tomyshev, Daniel H. Wolf, Stefan Ehrlich, Ingrid Agartz, Gary Donohoe, Greig I. de Zubicaray, Henk Temmingh, Anne Uhlmann, Stefan Borgwardt, Anjani Ragothaman, Michael Gill, David C. Glahn, Aristotle N. Voineskos, Irina V. Lebedeva, Marcus V. Zanetti, Joaquim Radua, Carl M. Sellgren, Charles Kessler, US Department of Veterans Affairs, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Swedish Research Council for Health, Working Life and Welfare, Fundação Amazônia de Amparo a Estudos e Pesquisas, Instituto de Salud Carlos III, National Health and Medical Research Council (Australia), National Institutes of Health (US), National Science Foundation (US), Research Council of Norway, Science Foundation Ireland, and Wellcome Trust
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Thalamus ,Hippocampus ,Neuroimaging ,Amygdala ,03 medical and health sciences ,0302 clinical medicine ,Healthy volunteers ,medicine ,Humans ,Multicenter Studies as Topic ,Radiology, Nuclear Medicine and imaging ,structure ,Research Articles ,Radiological and Ultrasound Technology ,business.industry ,Putamen ,Ventral striatum ,Neurosciences ,1. No poverty ,Experimental Psychology ,subcortical shape ,medicine.disease ,Corpus Striatum ,Brain Disorders ,030227 psychiatry ,3. Good health ,schizophrenia ,Mental Health ,Good Health and Well Being ,medicine.anatomical_structure ,Neurology ,nervous system ,Schizophrenia ,Meta-analysis ,Cognitive Sciences ,Neurology (clinical) ,Anatomy ,business ,Neuroscience ,030217 neurology & neurosurgery ,Research Article - Abstract
Special Issue: The ENIGMA Consortium: the first 10 years., Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia., Center for Integrated Healthcare, U.S. Department of Veterans Affairs, Grant/Award Number: I01 CX000497; Commonwealth Health Research Board, Grant/Award Number: HRA_POR/2011/100; Conselho Nacional de Desenvolvimento Científico e Tecnológico, Grant/Award Numbers: 478466/2009, 480370/2009; Department of Energy, Labor and Economic Growth, Grant/Award Number: DE-FG02-99ER62764; Forskningsrådet om Hälsa, Arbetsliv och Välfärd, Grant/Award Numbers: K2009-62X-15077-06-3, K2012-61X-15077-09-3, 523-2014-3467, 2009-7053, 2013-2838; Fundação Amazônia Paraense de Amparo à Pesquisa, Grant/Award Numbers: 2009/14891-9, 2010/18672-7, 2012/23796-2, 2013/039; Instituto de Salud Carlos III, Grant/Award Numbers: FIS 00/3095, 01/3129, PI020499, PI060507, PI10/001; National Health and Medical Research Council, Grant/Award Numbers: 1009064, 496682; National Institutes of Health, Grant/Award Numbers: 1RC1MH089257, MH 60722, MH019112, MH064045, MH085096, MH098130, MO1 RR025758, P41RR14075, P50 MH071616, R01 DA053028, R01 EB020062, R01 HD050735, R01 MH056584, R01 MH084803, R01 MH116147, R01 MH117601, R01EB005846, R01EB015611, R01MH074797, R21 MH097196, R21MH097196, R37MH43375, S10 OD023696, T32 AG058507, T32 MH073526, TR000153, U01 MH097435, U24 RR021382A, U24 RR021992, U24 RR025736, U24 RR21992, U24RR021992, U54 EB020403, U54EB020403, UL1 TR000153; National Science Foundation, Grant/Award Numbers: 1636893, 1734853; Norges Forskningsråd, Grant/Award Numbers: 213837, 217776, 223273; Science Foundation Ireland, Grant/Award Numbers: 08/IN.1/B1916, 12/IP/1359; Wellcome Trust, Grant/Award Number: 072894/2/03/Z.
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- 2022