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...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:Biol Psychiatry Cogn Neurosci Neuroimaging
Auteurs principaux: 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
Langue:Inglês
Publié: Elsevier, Inc 2019
Sujets:
Article
Accès en ligne: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
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires