EPA-1671 – Diagnosing schizophrenia using neuroimaging: a meta-analysis of multivariate pattern recognition studies

Abstract

BackgroundNumerous studies have applied novel multivariate statistical approaches to the analysis of brain alterations in patients with schizophrenia. However the diagnostic accuracy of the reported predictive models differs largely, making it difficult to evaluate the overall potential of these studies to inform clinical diagnosis.MethodsWe conducted a comprehensive literature search to identify all studies reporting performance of neuroimaging-based multivariate predictive models for the differentiation of patients with schizophrenia from healthy control subjects. The robustness of the results as well as the effect of potentially confounding continous variables (e.g. age, gender ratio, yea..