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

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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Bibliographic Details
Main Authors: Olga Tymofiyeva, Justin P. Yuan, Chiung-Yu Huang, Colm G. Connolly, Eva Henje Blom, Duan Xu, Tony T. Yang
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219302645

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http://www.sciencedirect.com/science/article/pii/S2213158219302645

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