Published July 1, 2023 | Version Supplemental Material
Journal Article Open

Value-based neural representations predict social decision preferences

  • 1. ROR icon University of California, Los Angeles
  • 2. ROR icon University of Southern California
  • 3. ROR icon California Institute of Technology

Abstract

Social decision-making is omnipresent in everyday life, carrying the potential for both positive and negative consequences for the decision-maker and those closest to them. While evidence suggests that decision-makers use value-based heuristics to guide choice behavior, very little is known about how decision-makers' representations of other agents influence social choice behavior. We used multivariate pattern expression analyses on fMRI data to understand how value-based processes shape neural representations of those affected by one's social decisions and whether value-based encoding is associated with social decision preferences. We found that stronger value-based encoding of a given close other (e.g. parent) relative to a second close other (e.g. friend) was associated with a greater propensity to favor the former during subsequent social decision-making. These results are the first to our knowledge to explicitly show that value-based processes affect decision behavior via representations of close others.

Additional Information

© The Author(s) 2023. Published by Oxford University Press. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://academic.oup.com/pages/standard-publication-reuse-rights) This study was supported by funds from the American Psychological Foundation (Lizette Peterson-Homer), the UCLA Academic Senate, the UC Consortium on the Developmental Science of Adolescence, and the National Science Foundation. CRediT for author contributions. Joao Guassi Moreira (Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Visualization, Writing—original draft, Writing—review and editing), Adriana Mendez Leal (Investigation, Writing—review and editing), Yael Waizman (Methodology, Writing—review and editing), Sarah Tashjian (Conceptualization, Writing—review and editing), Adriana Galvan (Conceptualization, Writing—review and editing), Jennifer Silvers (Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing—original draft, Writing—review and editing). Conflict of interest statement: None declared.

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Identifiers

Eprint ID
121531
Resolver ID
CaltechAUTHORS:20230525-772698100.17

Funding

American Psychological Foundation
UCLA
NSF

Dates

Created
2023-07-07
Created from EPrint's datestamp field
Updated
2023-07-07
Created from EPrint's last_modified field