Neuroimaging biomarkers for detecting schizophrenia: A resting-state functional MRI-based radiomics analysis.

ABSTRACT: Schizophrenia (SZ) is a common psychiatric disorder that is difficult to accurately diagnose in clinical practice. Quantifiable biomarkers are urgently required to explore the potential physiological mechanism of SZ and improve its diagnostic accuracy. Thus, this study aimed to identify biomarkers that classify SZ patients and healthy control subjects and investigate the potential neural mechanisms of SZ using degree centrality (DC)- and voxel-mirrored homotopic connectivity (VMHC)-based radiomics. Radiomics features were extracted from DC and VMHC metrics generated via resting-state functional magnetic resonance imaging, and significant features were selected and dimensionality was reduced using t-tests and least absolute shrinkage and selection operator. Subsequently, we built our model

SUBMITTER: Shi D 

PROVIDER: S-EPMC9793282 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature