Abnormal network homogeneity of default-mode network and its relationships with clinical symptoms in antipsychotic-naive first-diagnosis schizophrenia.

ABSTRACT: Schizophrenia is a severe mental disorder affecting around 0.5-1% of the global population. A few studies have shown the functional disconnection in the default-mode network (DMN) of schizophrenia patients. However, the findings remain discrepant. In the current study, we compared the intrinsic network organization of DMN of 57 first-diagnosis drug-naïve schizophrenia patients with 50 healthy controls (HCs) using a homogeneity network (NH) and explored the relationships of DMN with clinical characteristics of schizophrenia patients. Receiver operating characteristic (ROC) curves analysis and support vector machine (SVM) analysis were applied to calculate the accuracy of distinguishing schizophrenia patients from HCs. Our results showed that the NH values of patients were significantly high

SUBMITTER: Kong M 

PROVIDER: S-EPMC9369006 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature