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Neural precursors of future liking and affective reciprocity

Why do certain group members end up liking each other more than others? How does affective reciprocity arise in human groups? The prediction of interpersonal sentiment has been a long-standing pursuit in the social sciences. We combined fMRI and longitudinal social network data to test whether newly...

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Detalles Bibliográficos
Autores principales: Zerubavel, Noam, Hoffman, Mark Anthony, Reich, Adam, Ochsner, Kevin N., Bearman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5924932/
https://www.ncbi.nlm.nih.gov/pubmed/29632195
http://dx.doi.org/10.1073/pnas.1802176115
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author Zerubavel, Noam
Hoffman, Mark Anthony
Reich, Adam
Ochsner, Kevin N.
Bearman, Peter
author_facet Zerubavel, Noam
Hoffman, Mark Anthony
Reich, Adam
Ochsner, Kevin N.
Bearman, Peter
author_sort Zerubavel, Noam
collection PubMed
description Why do certain group members end up liking each other more than others? How does affective reciprocity arise in human groups? The prediction of interpersonal sentiment has been a long-standing pursuit in the social sciences. We combined fMRI and longitudinal social network data to test whether newly acquainted group members’ reward-related neural responses to images of one another’s faces predict their future interpersonal sentiment, even many months later. Specifically, we analyze associations between relationship-specific valuation activity and relationship-specific future liking. We found that one’s own future (T2) liking of a particular group member is predicted jointly by actor’s initial (T1) neural valuation of partner and by that partner’s initial (T1) neural valuation of actor. These actor and partner effects exhibited equivalent predictive strength and were robust when statistically controlling for each other, both individuals’ initial liking, and other potential drivers of liking. Behavioral findings indicated that liking was initially unreciprocated at T1 yet became strongly reciprocated by T2. The emergence of affective reciprocity was partly explained by the reciprocal pathways linking dyad members’ T1 neural data both to their own and to each other’s T2 liking outcomes. These findings elucidate interpersonal brain mechanisms that define how we ultimately end up liking particular interaction partners, how group members’ initially idiosyncratic sentiments become reciprocated, and more broadly, how dyads evolve. This study advances a flexible framework for researching the neural foundations of interpersonal sentiments and social relations that—conceptually, methodologically, and statistically—emphasizes group members’ neural interdependence.
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spelling pubmed-59249322018-04-30 Neural precursors of future liking and affective reciprocity Zerubavel, Noam Hoffman, Mark Anthony Reich, Adam Ochsner, Kevin N. Bearman, Peter Proc Natl Acad Sci U S A Social Sciences Why do certain group members end up liking each other more than others? How does affective reciprocity arise in human groups? The prediction of interpersonal sentiment has been a long-standing pursuit in the social sciences. We combined fMRI and longitudinal social network data to test whether newly acquainted group members’ reward-related neural responses to images of one another’s faces predict their future interpersonal sentiment, even many months later. Specifically, we analyze associations between relationship-specific valuation activity and relationship-specific future liking. We found that one’s own future (T2) liking of a particular group member is predicted jointly by actor’s initial (T1) neural valuation of partner and by that partner’s initial (T1) neural valuation of actor. These actor and partner effects exhibited equivalent predictive strength and were robust when statistically controlling for each other, both individuals’ initial liking, and other potential drivers of liking. Behavioral findings indicated that liking was initially unreciprocated at T1 yet became strongly reciprocated by T2. The emergence of affective reciprocity was partly explained by the reciprocal pathways linking dyad members’ T1 neural data both to their own and to each other’s T2 liking outcomes. These findings elucidate interpersonal brain mechanisms that define how we ultimately end up liking particular interaction partners, how group members’ initially idiosyncratic sentiments become reciprocated, and more broadly, how dyads evolve. This study advances a flexible framework for researching the neural foundations of interpersonal sentiments and social relations that—conceptually, methodologically, and statistically—emphasizes group members’ neural interdependence. National Academy of Sciences 2018-04-24 2018-04-09 /pmc/articles/PMC5924932/ /pubmed/29632195 http://dx.doi.org/10.1073/pnas.1802176115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Zerubavel, Noam
Hoffman, Mark Anthony
Reich, Adam
Ochsner, Kevin N.
Bearman, Peter
Neural precursors of future liking and affective reciprocity
title Neural precursors of future liking and affective reciprocity
title_full Neural precursors of future liking and affective reciprocity
title_fullStr Neural precursors of future liking and affective reciprocity
title_full_unstemmed Neural precursors of future liking and affective reciprocity
title_short Neural precursors of future liking and affective reciprocity
title_sort neural precursors of future liking and affective reciprocity
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5924932/
https://www.ncbi.nlm.nih.gov/pubmed/29632195
http://dx.doi.org/10.1073/pnas.1802176115
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