Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study

Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study

Abstract Bipolar disorder (BD) is a common disorder with high reoccurrence rate in general population. It is critical to have objective biomarkers to identify BD patients at an individual level. Neurocognitive signatures including affective Go/No-go task and Cambridge Gambling task showed the potent...

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Bibliographic Details
Main Authors: Mon-Ju Wu, Benson Mwangi, Ives Cavalcante Passos, Isabelle E. Bauer, Bo Cao, Thomas W. Frazier, Giovana B. Zunta-Soares, Jair C. Soares
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:International Journal of Bipolar Disorders
Subjects:
Bipolar disorder
Neurocognition
Vulnerability
CANTAB
Machine learning
Online Access:http://link.springer.com/article/10.1186/s40345-017-0101-9

Internet

http://link.springer.com/article/10.1186/s40345-017-0101-9

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