Published in

Springer Nature [academic journals on nature.com], Molecular Psychiatry, 4(21), p. 547-553, 2015

DOI: 10.1038/mp.2015.63

Springer Nature [academic journals on nature.com], Molecular Psychiatry, 4(21), p. 585-585, 2015

DOI: 10.1038/mp.2015.118

Links

Tools

Export citation

Search in Google Scholar

Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

Journal article published in 2015 by T. G. M. van Erp, D. P. Hibar, Lars T. Westlye ORCID, Calhoun Vd, J. M. Rasmussen, D. C. Glahn, van Erp Tg, G. D. Pearlson, O. A. Andreassen, D. Zilles, Hibar Dp, U. K. Haukvik ORCID, A. M. Dale, Rasmussen Jm, L. de Haan and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Orange circle
Postprint: archiving restricted
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

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.Molecular Psychiatry advance online publication, 2 June 2015; doi:10.1038/mp.2015.63.