Specific biomarker reflecting its neurobiological substrates is required for diagnosis and treatment selection of schizophrenia (SZ). We aimed to develop and validate a method of disease definition for SZ by resting-state functional connectivity using radiomics strategy in two data sets. The accuracy was 87.09% for diagnosing SZ patients by applying functional connectivity features, with a validation in the independent replication data set (accuracy = 82.61%). Our findings demonstrate a valid radiomics approach by functional connectivity to diagnose SZ, which is helpful to facilitate objective SZ individualized diagnosis using quantitative and specific functional connectivity biomarker in different sites.
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