Dataset Information

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.

ABSTRACT: 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.

SUBMITTER: Gutman BA

PROVIDER: S-EPMC8675416 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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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.

Gutman Boris A BA van Erp Theo G M TGM Alpert Kathryn K Ching Christopher R K CRK Isaev Dmitry D Ragothaman Anjani A Jahanshad Neda N Saremi Arvin A Zavaliangos-Petropulu Artemis A Glahn David C DC Shen Li L Cong Shan S Alnaes Dag D Andreassen Ole Andreas OA Doan Nhat Trung NT Westlye Lars T LT Kochunov Peter P Satterthwaite Theodore D TD Wolf Daniel H DH Huang Alexander J AJ Kessler Charles C Weideman Andrea A Nguyen Dana D Mueller Bryon A BA Faziola Lawrence L Potkin Steven G SG Preda Adrian A Mathalon Daniel H DH Bustillo Juan J Calhoun Vince V Ford Judith M JM Walton Esther E Ehrlich Stefan S Ducci Giuseppe G Banaj Nerisa N Piras Fabrizio F Piras Federica F Spalletta Gianfranco G Canales-Rodríguez Erick J EJ Fuentes-Claramonte Paola P Pomarol-Clotet Edith E Radua Joaquim J Salvador Raymond R Sarró Salvador S Dickie Erin W EW Voineskos Aristotle A Tordesillas-Gutiérrez Diana D Crespo-Facorro Benedicto B Setién-Suero Esther E van Son Jacqueline Mayoral JM Borgwardt Stefan S Schönborn-Harrisberger Fabienne F Morris Derek D Donohoe Gary G Holleran Laurena L Cannon Dara D McDonald Colm C Corvin Aiden A Gill Michael M Filho Geraldo Busatto GB Rosa Pedro G P PGP Serpa Mauricio H MH Zanetti Marcus V MV Lebedeva Irina I Kaleda Vasily V Tomyshev Alexander A Crow Tim T James Anthony A Cervenka Simon S Sellgren Carl M CM Fatouros-Bergman Helena H Agartz Ingrid I Howells Fleur F Stein Dan J DJ Temmingh Henk H Uhlmann Anne A de Zubicaray Greig I GI McMahon Katie L KL Wright Margie M Cobia Derin D Csernansky John G JG Thompson Paul M PM Turner Jessica A JA Wang Lei L

Human brain mapping 20210908 1

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 ...[more]

PMID: 34498337

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Project description:ObjectiveSchizophrenia has recently been associated with widespread white matter microstructural abnormalities, but the functional effects of these abnormalities remain unclear. Widespread heterogeneity of results from studies published to date preclude any definitive characterization of the relationship between white matter and cognitive performance in schizophrenia. Given the relevance of deficits in cognitive function to predicting social and functional outcomes in schizophrenia, the authors carried out a meta-analysis of available data through the ENIGMA Consortium, using a common analysis pipeline, to elucidate the relationship between white matter microstructure and a measure of general cognitive performance, IQ, in patients with schizophrenia and healthy participants.MethodsThe meta-analysis included 760 patients with schizophrenia and 957 healthy participants from 11 participating ENIGMA Consortium sites. For each site, principal component analysis was used to calculate both a global fractional anisotropy component (gFA) and a fractional anisotropy component for six long association tracts (LA-gFA) previously associated with cognition.ResultsMeta-analyses of regression results indicated that gFA accounted for a significant amount of variation in cognition in the full sample (effect size [Hedges' g]=0.27, CI=0.17-0.36), with similar effects sizes observed for both the patient (effect size=0.20, CI=0.05-0.35) and healthy participant groups (effect size=0.32, CI=0.18-0.45). Comparable patterns of association were also observed between LA-gFA and cognition for the full sample (effect size=0.28, CI=0.18-0.37), the patient group (effect size=0.23, CI=0.09-0.38), and the healthy participant group (effect size=0.31, CI=0.18-0.44).ConclusionsThis study provides robust evidence that cognitive ability is associated with global structural connectivity, with higher fractional anisotropy associated with higher IQ. This association was independent of diagnosis; while schizophrenia patients tended to have lower fractional anisotropy and lower IQ than healthy participants, the comparable size of effect in each group suggested a more general, rather than disease-specific, pattern of association.

Dataset Information

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.

Publications

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.

Similar Datasets

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