Abstract
Multiple neuroimaging studies have examined the relationship between default mode network (DMN) dysconnectivity and schizophrenia symptom severity, and some studies have linked aberrant dynamic functional connectivity (dFC) with schizophrenia (SZ). Nevertheless, the relationship between aberrant DMN dFC and schizophrenia symptom severity has not been well-characterized. In this study, we (1) apply a data-driven approach to partition DMN dFC into five states in a search for abnormal activity and (2) explore the relationship between that abnormal activity and symptom severity.
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