Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy

Schizophrenia Bulletin
Long-Biao CuiHong Yin

Abstract

Specific biomarker reflecting neurobiological substrates of schizophrenia (SZ) is required for its diagnosis and treatment selection of SZ. Evidence from neuroimaging has implicated disrupted functional connectivity in the pathophysiology. We aimed to develop and validate a method of disease definition for SZ by resting-state functional connectivity using radiomics strategy. This study included 2 data sets collected with different scanners. A total of 108 first-episode SZ patients and 121 healthy controls (HCs) participated in the current study, among which 80% patients and HCs (n = 183) and 20% (n = 46) were selected for training and testing in intra-data set validation and 1 of the 2 data sets was selected for training and the other for testing in inter-data set validation, respectively. Functional connectivity was calculated for both groups, features were selected by Least Absolute Shrinkage and Selection Operator (LASSO) method, and the clinical utility of its features and the generalizability of effects across samples were assessed using machine learning by training and validating multivariate classifiers in the independent samples. We found that the accuracy of intra-data set training was 87.09% for diagnosing SZ patients...Continue Reading

References

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Citations

Mar 31, 2019·Schizophrenia Bulletin·Long-Biao CuiMartijn P Van den Heuvel
Jun 17, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Andreas HolzingerIgor Jurisica
Aug 12, 2021·Biological Psychiatry : Cognitive Neuroscience and Neuroimaging·Jin-Bo SunWei Qin
Sep 12, 2021·Schizophrenia Bulletin·Yuan XiaoQiyong Gong
Dec 24, 2021·European Psychiatry : the Journal of the Association of European Psychiatrists·Lung-Hao LeePei-Chi Tu

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