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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
Human Brain Mapping ( IF 4.8 ) Pub Date : 2021-09-08 , DOI: 10.1002/hbm.25625
Boris A Gutman 1, 2 , Theo G M van Erp 3, 4 , Kathryn Alpert 5 , Christopher R K Ching 6 , Dmitry Isaev 7 , Anjani Ragothaman 8 , Neda Jahanshad 6 , Arvin Saremi 6 , Artemis Zavaliangos-Petropulu 6 , David C Glahn 9 , Li Shen 10 , Shan Cong 10 , Dag Alnaes 11 , Ole Andreas Andreassen 11 , Nhat Trung Doan 11 , Lars T Westlye 11, 12 , Peter Kochunov 13 , Theodore D Satterthwaite 14 , Daniel H Wolf 14 , Alexander J Huang 3 , Charles Kessler 3 , Andrea Weideman 3 , Dana Nguyen 15 , Bryon A Mueller 16 , Lawrence Faziola 17 , Steven G Potkin 17 , Adrian Preda 17 , Daniel H Mathalon 18, 19 , Juan Bustillo 20 , Vince Calhoun 21, 22 , Judith M Ford 19, 23 , Esther Walton 24 , Stefan Ehrlich 25 , Giuseppe Ducci 26 , Nerisa Banaj 27 , Fabrizio Piras 27 , Federica Piras 27 , Gianfranco Spalletta 27, 28 , Erick J Canales-Rodríguez 29 , Paola Fuentes-Claramonte 29 , Edith Pomarol-Clotet 29 , Joaquim Radua 29, 30 , Raymond Salvador 29 , Salvador Sarró 29 , Erin W Dickie 31 , Aristotle Voineskos 31 , Diana Tordesillas-Gutiérrez 32 , Benedicto Crespo-Facorro 33 , Esther Setién-Suero 34 , Jacqueline Mayoral van Son 33 , Stefan Borgwardt 35, 36 , Fabienne Schönborn-Harrisberger 35 , Derek Morris 37 , Gary Donohoe 38 , Laurena Holleran 38 , Dara Cannon 39 , Colm McDonald 39 , Aiden Corvin 40, 41 , Michael Gill 40, 41 , Geraldo Busatto Filho 42 , Pedro G P Rosa 42 , Mauricio H Serpa 42 , Marcus V Zanetti 42, 43 , Irina Lebedeva 44 , Vasily Kaleda 45 , Alexander Tomyshev 44 , Tim Crow 46 , Anthony James 46 , Simon Cervenka 47 , Carl M Sellgren 48 , Helena Fatouros-Bergman 47 , Ingrid Agartz 11 , Fleur Howells 49, 50 , Dan J Stein 49, 50, 51 , Henk Temmingh 49 , Anne Uhlmann 49, 52 , Greig I de Zubicaray 53 , Katie L McMahon 54 , Margie Wright 55 , Derin Cobia 5, 56 , John G Csernansky 5 , Paul M Thompson 6 , Jessica A Turner 57 , Lei Wang 5, 58
Affiliation  

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.

中文翻译:

通过 ENIGMA 联盟对 2,833 名精神分裂症患者与 3,929 名健康志愿者进行的深部大脑结构形状和不对称异常的荟萃分析

精神分裂症与皮层下大脑结构的广泛改变有关。虽然分析方法已经实现了更详细的形态表征,但结果往往模棱两可。在这项荟萃分析中,我们采用统一的 ENIGMA 形状分析协议来协作研究精神分裂症患者和健康对照参与者之间的皮层下大脑结构形状差异。该研究分析了 2,833 名精神分裂症患者和 3,929 名健康对照参与者的数据,这些数据由参与 ENIGMA 精神分裂症工作组的 21 个全球研究小组提供。从 T1 加权结构 MRI 扫描获得的双侧海马、杏仁核、尾状核、伏隔核、壳核、苍白球和丘脑的数据独立应用于每个部位的协调形状分析协议。大规模单变量荟萃分析显示,与对照组相比,精神分裂症患者的海马、杏仁核、伏隔核和丘脑的形状差异更大,壳核和苍白球的形状差异更大,并且尾状核的凹凸形状均有差异。与对照组相比,在精神分裂症患者的海马、杏仁核和丘脑中观察到夸张的不对称模式,而腹侧纹状体、腹侧和背侧丘脑的不对称性减弱。我们的分析还表明,较高的氯丙嗪剂量当量和增加的阳性症状水平与多个皮质下结构的连续凸形差异模式相关。
更新日期:2021-09-08
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