Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score.

ABSTRACT: Previous brain structural magnetic resonance imaging studies reported that patients with schizophrenia have brain structural abnormalities, which have been used to discriminate schizophrenia patients from normal controls. However, most existing studies identified schizophrenia patients at a single site, and the genetic features closely associated with highly heritable schizophrenia were not considered. In this study, we performed standardized feature extraction on brain structural magnetic resonance images and on genetic data to separate schizophrenia patients from normal controls. A total of 1010 participants, 508 schizophrenia patients and 502 normal controls, were recruited from 8 independent sites across China. Classification experiments were carried out using different machine learnin

SUBMITTER: Hu K 

PROVIDER: S-EPMC8567302 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature