Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning.

ABSTRACT: Reinforcement-based adaptive decision-making is believed to recruit fronto-striatal circuits. A critical node of the fronto-striatal circuit is the thalamus. However, direct evidence of its involvement in human reinforcement learning is lacking. We address this gap by analyzing intra-thalamic electrophysiological recordings from eight participants while they performed a reinforcement learning task. We found that in both the anterior thalamus (ATN) and dorsomedial thalamus (DMTN), low frequency oscillations (LFO, 4-12 Hz) correlated positively with expected value estimated from computational modeling during reward-based learning (after outcome delivery) or punishment-based learning (during the choice process). Furthermore, LFO recorded from ATN/DMTN were also negatively correlated with outc

SUBMITTER: Collomb-Clerc A 

PROVIDER: S-EPMC10582006 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature