Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT)

PURPOSE: Adolescent major depressive disorder (MDD) is a highly prevalent, incapacitating and costly illness. Many depressed teens do not improve with cognitive behavioral therapy (CBT), a first-line treatment for adolescent MDD, and face devastating consequences of increased risk of suicide and man...

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Detalles Bibliográficos
Autores principales: Tymofiyeva, Olga, Yuan, Justin P., Huang, Chiung-Yu, Connolly, Colm G., Henje Blom, Eva, Xu, Duan, Yang, Tony T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627980/
https://www.ncbi.nlm.nih.gov/pubmed/31491813
http://dx.doi.org/10.1016/j.nicl.2019.101914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627980/
https://www.ncbi.nlm.nih.gov/pubmed/31491813
http://dx.doi.org/10.1016/j.nicl.2019.101914

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