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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...
Autores principales: | Tymofiyeva, Olga, Yuan, Justin P., Huang, Chiung-Yu, Connolly, Colm G., Henje Blom, Eva, Xu, Duan, Yang, Tony T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
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 |
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