Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning.

ABSTRACT: Complex learned behaviors must involve the integrated action of distributed brain circuits. Although the contributions of individual regions to learning have been extensively investigated, much less is known about how distributed brain networks orchestrate their activity over the course of learning. To address this gap, we used fMRI combined with tools from dynamic network neuroscience to obtain time-resolved descriptions of network coordination during reinforcement learning in humans. We found that learning to associate visual cues with reward involves dynamic changes in network coupling between the striatum and distributed brain regions, including visual, orbitofrontal, and ventromedial prefrontal cortex (n = 22; 13 females). Moreover, we found that this flexibility in striatal ne

SUBMITTER: Gerraty RT 

PROVIDER: S-EPMC5858591 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature