Network organization during probabilistic learning via taste outcomes.

ABSTRACT: Reinforcement learning guides food decisions, yet how the brain learns from taste in humans is not fully understood. Existing research examines reinforcement learning from taste using passive condition paradigms, but response-dependent instrumental conditioning better reflects natural eating behavior. Here, we examined brain response during a taste-motivated reinforcement learning task and how measures of task-based network structure were related to behavioral outcomes. During a functional MRI scan, 85 participants completed a probabilistic selection task with feedback via sweet taste or bitter taste. Whole brain response and functional network topology measures, including identification of communities and community segregation, were examined during choice, sweet taste, and bitter taste co

SUBMITTER: Sadler JR 

PROVIDER: S-EPMC7425041 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature