P.507 Machine learning classification of first-episode psychosis using cortical thickness: a large multicenter magnetic resonance imaging study.

B Introduction: b Machine learning neuroimaging classifications of first-episode psychosis (FEP) have analyzed mostly brain volumes. Results from classification in FEP are mixed [2] and such heterogeneity could be explained by MRI machine differences, various ML algorithms, and specific illness characteristics of local samples. [Extracted from the article]