Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
- Department of Child and Adolescent Psychiatry and Psychotherapy
- University of California at Irvine
- University of Southern California
- Yale University
- Institute of Living
- University of Oslo
- Diakonhjemmet Hospital
- Karolinska Institutet
- University of California at San Diego
- University of Göttingen
- University of Galway
- Trinity College Dublin
- University of Amsterdam
- Vrije Universiteit Amsterdam (VU)
- University of Pennsylvania
- University of California at San Francisco
- University of Minnesota System
- Massachusetts General Hospital
- The Mind Research Network
- University of New Mexico
- Advanced Biomedical Informatics Group, LLC
- University of Iowa
- Utrecht University
- University of California at Los Angeles
- Hospital Universitario Marques de Valdecilla
- CIBER - Center for Biomedical Research Network
- Northwestern University
- TUD Dresden University of Technology
Abstract
The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades of research using brain scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed brain MRI scans from 2028 schizophrenia patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical brain volumes that differentiated patients from controls, and ranked them according to their effect sizes. Compared with healthy controls, patients with schizophrenia had smaller hippocampus (Cohen's d=-0.46), amygdala (d=-0.31), thalamus (d=-0.31), accumbens (d=-0.25) and intracranial volumes (d=-0.12), as well as larger pallidum (d=0.21) and lateral ventricle volumes (d=0.37). Putamen and pallidum volume augmentations were positively associated with duration of illness and hippocampal deficits scaled with the proportion of unmedicated patients. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches. This first ENIGMA Schizophrenia Working Group study validates that collaborative data analyses can readily be used across brain phenotypes and disorders and encourages analysis and data sharing efforts to further our understanding of severe mental illness.
Details
Original language | English |
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Pages (from-to) | 547-553 |
Number of pages | 7 |
Journal | Molecular Psychiatry |
Volume | 21 |
Issue number | 4 |
Publication status | Published - 1 Apr 2016 |
Peer-reviewed | Yes |
External IDs
Scopus | 84930324327 |
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PubMed | 26033243 |
ORCID | /0000-0003-2132-4445/work/159605879 |