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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Detalles Bibliográficos
Autores principales: Sen, Bhaskar, Bernstein, Gail A., Mueller, Bryon A., Cullen, Kathryn R., Parhi, Keshab K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025090/
https://www.ncbi.nlm.nih.gov/pubmed/32065968
http://dx.doi.org/10.1016/j.nicl.2020.102208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025090/
https://www.ncbi.nlm.nih.gov/pubmed/32065968
http://dx.doi.org/10.1016/j.nicl.2020.102208

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