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...

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Bibliographic Details
Main Authors: Bhaskar Sen, Gail A. Bernstein, Bryon A. Mueller, Kathryn R. Cullen, Keshab K. Parhi
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage: Clinical
Subjects:
Sub-graph entropy
Functional network
Obsessive compulsive disorder
Classification
Psychiatry
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220300450

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http://www.sciencedirect.com/science/article/pii/S2213158220300450

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