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Neural computations underlying social risk sensitivity

Under standard models of expected utility, preferences over stochastic events are assumed to be independent of the source of uncertainty. Thus, in decision-making, an agent should exhibit consistent preferences, regardless of whether the uncertainty derives from the unpredictability of a random proc...

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Autores principales: Lauharatanahirun, Nina, Christopoulos, George I., King-Casas, Brooks
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410607/
https://www.ncbi.nlm.nih.gov/pubmed/22876226
http://dx.doi.org/10.3389/fnhum.2012.00213
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author Lauharatanahirun, Nina
Christopoulos, George I.
King-Casas, Brooks
author_facet Lauharatanahirun, Nina
Christopoulos, George I.
King-Casas, Brooks
author_sort Lauharatanahirun, Nina
collection PubMed
description Under standard models of expected utility, preferences over stochastic events are assumed to be independent of the source of uncertainty. Thus, in decision-making, an agent should exhibit consistent preferences, regardless of whether the uncertainty derives from the unpredictability of a random process or the unpredictability of a social partner. However, when a social partner is the source of uncertainty, social preferences can influence decisions over and above pure risk attitudes (RA). Here, we compared risk-related hemodynamic activity and individual preferences for two sets of options that differ only in the social or non-social nature of the risk. Risk preferences in social and non-social contexts were systematically related to neural activity during decision and outcome phases of each choice. Individuals who were more risk averse in the social context exhibited decreased risk-related activity in the amygdala during non-social decisions, while individuals who were more risk averse in the non-social context exhibited the opposite pattern. Differential risk preferences were similarly associated with hemodynamic activity in ventral striatum at the outcome of these decisions. These findings suggest that social preferences, including aversion to betrayal or exploitation by social partners, may be associated with variability in the response of these subcortical regions to social risk.
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spelling pubmed-34106072012-08-08 Neural computations underlying social risk sensitivity Lauharatanahirun, Nina Christopoulos, George I. King-Casas, Brooks Front Hum Neurosci Neuroscience Under standard models of expected utility, preferences over stochastic events are assumed to be independent of the source of uncertainty. Thus, in decision-making, an agent should exhibit consistent preferences, regardless of whether the uncertainty derives from the unpredictability of a random process or the unpredictability of a social partner. However, when a social partner is the source of uncertainty, social preferences can influence decisions over and above pure risk attitudes (RA). Here, we compared risk-related hemodynamic activity and individual preferences for two sets of options that differ only in the social or non-social nature of the risk. Risk preferences in social and non-social contexts were systematically related to neural activity during decision and outcome phases of each choice. Individuals who were more risk averse in the social context exhibited decreased risk-related activity in the amygdala during non-social decisions, while individuals who were more risk averse in the non-social context exhibited the opposite pattern. Differential risk preferences were similarly associated with hemodynamic activity in ventral striatum at the outcome of these decisions. These findings suggest that social preferences, including aversion to betrayal or exploitation by social partners, may be associated with variability in the response of these subcortical regions to social risk. Frontiers Media S.A. 2012-08-02 /pmc/articles/PMC3410607/ /pubmed/22876226 http://dx.doi.org/10.3389/fnhum.2012.00213 Text en Copyright © 2012 Lauharatanahirun, Christopoulos and King-Casas. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Lauharatanahirun, Nina
Christopoulos, George I.
King-Casas, Brooks
Neural computations underlying social risk sensitivity
title Neural computations underlying social risk sensitivity
title_full Neural computations underlying social risk sensitivity
title_fullStr Neural computations underlying social risk sensitivity
title_full_unstemmed Neural computations underlying social risk sensitivity
title_short Neural computations underlying social risk sensitivity
title_sort neural computations underlying social risk sensitivity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410607/
https://www.ncbi.nlm.nih.gov/pubmed/22876226
http://dx.doi.org/10.3389/fnhum.2012.00213
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