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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Detalhes bibliográficos
Publicado no:Biol Psychiatry Cogn Neurosci Neuroimaging
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Elsevier, Inc 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6682607/
https://ncbi.nlm.nih.gov/pubmed/31201147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpsc.2019.04.005
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