• Psychiatry research · Jan 2014

    Meta Analysis

    Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia.

    • Deborah Cooper, Victoria Barker, Joaquim Radua, Paolo Fusar-Poli, and Stephen M Lawrie.
    • Division of Psychiatry, School of Clinical Sciences, Kennedy Tower, Royal Edinburgh Hospital, Morningside, Edinburgh, EH10 5HF, UK. Electronic address: deborah.cooper@luht.scot.nhs.uk.
    • Psychiatry Res. 2014 Jan 30; 221 (1): 69-77.

    AbstractComputational brain-imaging studies of individuals at familial high risk for psychosis have provided interesting results, but interpreting these findings can be a challenge due to a number of factors. We searched the literature for studies reporting whole brain voxel-based morphometry (VBM) or functional magnetic resonance imaging (fMRI) findings in people at familial high risk for schizophrenia compared with a control group. A voxel-wise meta-analysis with the effect-size version of Signed Differential Mapping (ES-SDM) identified regional abnormalities of functional brain response. Similarly, an ES-SDM meta-analysis was conducted on VBM studies. A multi-modal imaging meta-analysis was used to highlight brain regions with both structural and functional abnormalities. Nineteen studies met the inclusion criteria, in which a total of 815 familial high-risk individuals were compared to 685 controls. Our fMRI results revealed a number of regions of altered activation. VBM findings demonstrated both increases and decreases in grey matter density of relatives in a variety of brain regions. The multimodal analysis revealed relatives had decreased grey matter with hyper-activation in the left inferior frontal gyrus/amygdala, and decreased grey matter with hypo-activation in the thalamus. We found several regions of altered activation or structure in familial high-risk individuals. Reliable fMRI findings in the right posterior superior temporal gyrus further confirm that alteration in this area is a potential marker of risk. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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