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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Vydáno v:Neuroimage Clin
Hlavní autoři: Tymofiyeva, Olga, Yuan, Justin P., Huang, Chiung-Yu, Connolly, Colm G., Henje Blom, Eva, Xu, Duan, Yang, Tony T.
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2019
Témata:
Regular Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6627980/
https://ncbi.nlm.nih.gov/pubmed/31491813
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2019.101914
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