title: Risk for early-onset schizophrenia assessed via gray-matter distributions.
abstract: Automated image analysis algorithms were used to measure regional gray matter volumes in children with early-onset schizophrenia. Logistic regression analysis of gray matter volumes within Brodman areas was used to test the ability to predict whether a subject was normal or schizophrenic. The ROC area-under-the-curve was 0.84 +/- 0.15 across the 10 cross validation groups indicating good discrimination between schizophrenic and normal subjects.
authors.affiliation: Regenstrief Institute, Inc. & Department of Radiology, University of Indiana School of Medicine, Indianapolis, IN, USA.
authors.forename: James D
authors.initials: JD
authors.lastname: Christensen
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology / Q000473:pathology*; D002648:Child; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016015:Logistic Models; D008279:Magnetic Resonance Imaging; D008297:Male; D012372:ROC Curve; D012559:Schizophrenia / Q000473:pathology*