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Dorsal raphe neurons signal integrated value during multi-attribute decision-making.
Feng, Yang-Yang; Bromberg-Martin, Ethan S; Monosov, Ilya E.
Affiliation
  • Feng YY; Department of Neuroscience, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Bromberg-Martin ES; Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA.
  • Monosov IE; Department of Neuroscience, Washington University School of Medicine, St. Louis, Missouri, USA.
bioRxiv ; 2023 Aug 21.
Article de En | MEDLINE | ID: mdl-37662243
ABSTRACT
The dorsal raphe nucleus (DRN) is implicated in psychiatric disorders that feature impaired sensitivity to reward amount, impulsivity when facing reward delays, and risk-seeking when grappling with reward uncertainty. However, whether and how DRN neurons signal reward amount, reward delay, and reward uncertainty during multi-attribute value-based decision-making, where subjects consider all these attributes to make a choice, is unclear. We recorded DRN neurons as monkeys chose between offers whose attributes, namely expected reward amount, reward delay, and reward uncertainty, varied independently. Many DRN neurons signaled offer attributes. Remarkably, these neurons commonly integrated offer attributes in a manner that reflected monkeys' overall preferences for amount, delay, and uncertainty. After decision-making, in response to post-decision feedback, these same neurons signaled signed reward prediction errors, suggesting a broader role in tracking value across task epochs and behavioral contexts. Our data illustrate how DRN participates in integrated value computations, guiding theories of DRN in decision-making and psychiatric disease.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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