Journal article
Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study.
Wolfgang Omlor, Finn Rabe, Simon Fuchs, Werner Surbeck, Giacomo Cecere, Gao-Yang Huang, Stephanie Homan, Nils Kallen, Foivos Georgiadis, Tobias Spiller, Erich Seifritz, Thomas Weickert, Jason Bruggemann, Cynthia Weickert, Steven Potkin, Ryota Hashimoto, Kang Sim, Kelly Rootes-Murdy, Yann Quide, Josselin Houenou Show all
Am J Psychiatry | Published : 2025
Abstract
OBJECTIVE: The clinical diversity of schizophrenia is reflected by structural brain variability. It remains unclear how this variability manifests across different gray and white matter features. In this meta- and mega-analysis, the authors investigated how brain heterogeneity in schizophrenia is distributed across multimodal structural indicators. METHODS: The authors used the ENIGMA dataset of MRI-based brain measures from 22 international sites with up to 6,037 individuals for a given brain measure. Variability and mean values of cortical thickness, cortical surface area, cortical folding index, subcortical volume, and fractional anisotropy were examined in individuals with schizophrenia ..
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Awarded by NINDS NIH HHS
Awarded by NIMH NIH HHS
Awarded by NIBIB NIH HHS
Awarded by NIH HHS