SUB-GRAPH ENTROPY BASED NETWORK APPROACHES FOR CLASSIFYING ADOLESCENT OBSESSIVE-COMPULSIVE DISORDER FROM RESTING-STATE FUNCTIONAL MRI

Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI

This paper presents a novel approach for classifying obsessive-compulsive disorder (OCD) in adolescents from resting-state fMRI data.Currently, the state-of-the-art for diagnosing OCD in youth involves interviews with adolescent patients and their parents by an experienced clinician, symptom rating scales based on Diagnostic and Statistical Manual

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