Projects per year
Abstract / Description of output
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 lateralventricle 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 datasupport a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analyticapproaches. 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.
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 lateralventricle 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 datasupport a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analyticapproaches. 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.
Original language | English |
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Pages (from-to) | 547-553 |
Journal | Molecular Psychiatry |
Volume | 21 |
Issue number | 4 |
Early online date | 2 Jun 2015 |
DOIs | |
Publication status | Published - 30 Apr 2016 |
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- 6 Finished
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IMAGEMEND: IMAGEMEND IMAging GEnetics for MENtal Disorders - Other and MGT
1/10/13 → 30/09/17
Project: Research
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Profiles
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Heather Whalley
- Deanery of Clinical Sciences - Personal Chair of Neuroscience and Mental Health
- Centre for Clinical Brain Sciences
- Edinburgh Neuroscience
Person: Academic: Research Active