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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Bibliografiske detaljer
Udgivet i: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.
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier, Inc 2019
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Article
Online adgang: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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