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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Pubblicato in:Biol Psychiatry Cogn Neurosci Neuroimaging
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier, Inc 2019
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Article
Accesso online: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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