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The ventral striatum dissociates information expectation, reward anticipation, and reward receipt.


ABSTRACT: Do dopaminergic reward structures represent the expected utility of information similarly to a reward? Optimal experimental design models from Bayesian decision theory and statistics have proposed a theoretical framework for quantifying the expected value of information that might result from a query. In particular, this formulation quantifies the value of information before the answer to that query is known, in situations where payoffs are unknown and the goal is purely epistemic: That is, to increase knowledge about the state of the world. Whether and how such a theoretical quantity is represented in the brain is unknown. Here we use an event-related functional MRI (fMRI) task design to disentangle information expectation, information revelation and categorization outcome anticipation, and response-contingent reward processing in a visual probabilistic categorization task. We identify a neural signature corresponding to the expectation of information, involving the left lateral ventral striatum. Moreover, we show a temporal dissociation in the activation of different reward-related regions, including the nucleus accumbens, medial prefrontal cortex, and orbitofrontal cortex, during information expectation versus reward-related processing.

SUBMITTER: Filimon F 

PROVIDER: S-EPMC7334472 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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The ventral striatum dissociates information expectation, reward anticipation, and reward receipt.

Filimon Flavia F   Nelson Jonathan D JD   Sejnowski Terrence J TJ   Sereno Martin I MI   Cottrell Garrison W GW  

Proceedings of the National Academy of Sciences of the United States of America 20200611 26


Do dopaminergic reward structures represent the expected utility of information similarly to a reward? Optimal experimental design models from Bayesian decision theory and statistics have proposed a theoretical framework for quantifying the expected value of information that might result from a query. In particular, this formulation quantifies the value of information before the answer to that query is known, in situations where payoffs are unknown and the goal is purely epistemic: That is, to i  ...[more]

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