Neural correlates of weighted reward prediction error during reinforcement learning classify response to cognitive behavioral therapy in depression.

ABSTRACT: While cognitive behavioral therapy (CBT) is an effective treatment for major depressive disorder, only up to 45% of depressed patients will respond to it. At present, there is no clinically viable neuroimaging predictor of CBT response. Notably, the lack of a mechanistic understanding of treatment response has hindered identification of predictive biomarkers. To obtain mechanistically meaningful fMRI predictors of CBT response, we capitalize on pretreatment neural activity encoding a weighted reward prediction error (RPE), which is implicated in the acquisition and processing of feedback information during probabilistic learning. Using a conventional mass-univariate fMRI analysis, we demonstrate that, at the group level, responders exhibit greater pretreatment neural activity encoding a we

SUBMITTER: Queirazza F 

PROVIDER: S-EPMC6669013 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature