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ABSTRACT: Importance
Major depressive disorder (MDD) is associated with deficits in representing reward prediction errors (RPEs), which are the difference between experienced and predicted reward. Reward prediction errors underlie learning of values in reinforcement learning models, are represented by phasic dopamine release, and are known to affect momentary mood.Objective
To combine functional neuroimaging, computational modeling, and smartphone-based large-scale data collection to test, in the absence of learning-related concerns, the hypothesis that depression attenuates the impact of RPEs.Design, setting, and participants
Functional magnetic resonance imaging (fMRI) data were collected on 32 individuals with moderate MDD and 20 control participants who performed a probab
SUBMITTER: Rutledge RB
PROVIDER: S-EPMC5710549 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature