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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Biol Psychiatry Cogn Neurosci Neuroimaging
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Elsevier, Inc 2019
Θέματα:
Article
Διαθέσιμο 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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