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Article Dans Une Revue Journal of Neuroscience Année : 2023

Beta Oscillations in Monkey Striatum Encode Reward Prediction Error Signals

Résumé

Reward prediction error (RPE) signals are crucial for reinforcement learning and decision-making as they quantify the mismatch between predicted and obtained rewards. RPE signals are encoded in the neural activity of multiple brain areas, such as midbrain dopaminergic neurons, prefrontal cortex, and striatum. However, it remains unclear how these signals are expressed through anatomically and functionally distinct subregions of the striatum. In the current study, we examined to which extent RPE signals are represented across different striatal regions. To do so, we recorded local field potentials (LFPs) in sensorimotor, associative, and limbic striatal territories of two male rhesus monkeys performing a free-choice probabilistic learning task. The trial-by-trial evolution of RPE during task performance was estimated using a reinforcement learning model fitted on monkeys' choice behavior. Overall, we found that changes in beta band oscillations (15–35 Hz), after the outcome of the animal's choice, are consistent with RPE encoding. Moreover, we provide evidence that the signals related to RPE are more strongly represented in the ventral (limbic) than dorsal (sensorimotor and associative) part of the striatum. To conclude, our results suggest a relationship between striatal beta oscillations and the evaluation of outcomes based on RPE signals and highlight a major contribution of the ventral striatum to the updating of learning processes.

Domaines

Neurosciences
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Dates et versions

hal-04088261 , version 1 (10-05-2023)

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Ruggero Basanisi, Kevin Marche, Etienne Combrisson, Paul Apicella, Andrea Brovelli. Beta Oscillations in Monkey Striatum Encode Reward Prediction Error Signals. Journal of Neuroscience, 2023, 43 (18), pp.3339-3352. ⟨10.1523/JNEUROSCI.0952-22.2023⟩. ⟨hal-04088261⟩
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