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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lauharatanahirun, Nina, King-Casas, Brooks, Christopoulos, George I.
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96086
http://hdl.handle.net/10220/10107
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-96086
record_format dspace
spelling sg-ntu-dr.10356-960862023-05-19T06:44:41Z Neural computations underlying social risk sensitivity Lauharatanahirun, Nina King-Casas, Brooks Christopoulos, George I. Nanyang Business School 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. Published version 2013-06-10T04:05:26Z 2019-12-06T19:25:23Z 2013-06-10T04:05:26Z 2019-12-06T19:25:23Z 2012 2012 Journal Article Lauharatanahirun, N., Christopoulos, G. I., & King-Casas, B. (2012). Neural computations underlying social risk sensitivity. Frontiers in Human Neuroscience, 6, 1-7. https://hdl.handle.net/10356/96086 http://hdl.handle.net/10220/10107 10.3389/fnhum.2012.00213 22876226 en Frontiers in human neuroscience © 2012 Lauharatanahirun, Christopoulos and King-Casas. This paper was published in Frontiers in Human Neuroscience and is made available as an electronic reprint (preprint) with permission of Lauharatanahirun, Christopoulos and King-Casas. The paper can be found at the following official DOI: [http://dx.doi.org/10.3389/fnhum.2012.00213].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
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.
author2 Nanyang Business School
author_facet Nanyang Business School
Lauharatanahirun, Nina
King-Casas, Brooks
Christopoulos, George I.
format Article
author Lauharatanahirun, Nina
King-Casas, Brooks
Christopoulos, George I.
spellingShingle Lauharatanahirun, Nina
King-Casas, Brooks
Christopoulos, George I.
Neural computations underlying social risk sensitivity
author_sort Lauharatanahirun, Nina
title Neural computations underlying social risk sensitivity
title_short 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_sort neural computations underlying social risk sensitivity
publishDate 2013
url https://hdl.handle.net/10356/96086
http://hdl.handle.net/10220/10107
_version_ 1770563939659153408