Detecting the psychosis prodrome across high-risk populations using neuroanatomical biomarkers.

ABSTRACT: To date, the MRI-based individualized prediction of psychosis has only been demonstrated in single-site studies. It remains unclear if MRI biomarkers generalize across different centers and MR scanners and represent accurate surrogates of the risk for developing this devastating illness. Therefore, we assessed whether a MRI-based prediction system identified patients with a later disease transition among 73 clinically defined high-risk persons recruited at two different early recognition centers. Prognostic performance was measured using cross-validation, independent test validation, and Kaplan-Meier survival analysis. Transition outcomes were correctly predicted in 80% of test cases (sensitivity: 76%, specificity: 85%, positive likelihood ratio: 5.1). Thus, given a 54-month transition ris

SUBMITTER: Koutsouleris N 

PROVIDER: S-EPMC4332937 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature