Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

BACKGROUND: The aim of this study was to apply multivariate pattern recognition to predict the severity of behavioral traits and symptoms associated with risk for bipolar spectrum disorder from patterns of whole-brain activation during reward expectancy to facilitate the identification of individual...

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Detalles Bibliográficos
Autores principales: de Oliveira, Leticia, Portugal, Liana C.L., Pereira, Mirtes, Chase, Henry W., Bertocci, Michele, Stiffler, Richelle, Greenberg, Tsafrir, Bebko, Genna, Lockovich, Jeanette, Aslam, Haris, Mourao-Miranda, Janaina, Phillips, Mary L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier, Inc 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682607/
https://www.ncbi.nlm.nih.gov/pubmed/31201147
http://dx.doi.org/10.1016/j.bpsc.2019.04.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682607/
https://www.ncbi.nlm.nih.gov/pubmed/31201147
http://dx.doi.org/10.1016/j.bpsc.2019.04.005

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