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Social brain volume is associated with in-degree social network size among older adults

The social brain hypothesis proposes that large neocortex size evolved to support cognitively demanding social interactions. Accordingly, previous studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains unce...

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Autores principales: Kwak, Seyul, Joo, Won-tak, Youm, Yoosik, Chey, Jeanyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805955/
https://www.ncbi.nlm.nih.gov/pubmed/29367402
http://dx.doi.org/10.1098/rspb.2017.2708
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author Kwak, Seyul
Joo, Won-tak
Youm, Yoosik
Chey, Jeanyung
author_facet Kwak, Seyul
Joo, Won-tak
Youm, Yoosik
Chey, Jeanyung
author_sort Kwak, Seyul
collection PubMed
description The social brain hypothesis proposes that large neocortex size evolved to support cognitively demanding social interactions. Accordingly, previous studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains uncertain how an individual's social connectedness reported by other people is associated with the social brain volume. In this study, we found that a greater in-degree network size, a measure of social ties identified by a subject's social connections rather than by the subject, significantly correlated with a larger regional volume of the orbitofrontal cortex, dorsomedial prefrontal cortex and lingual gyrus. By contrast, out-degree size, which is based on an individual's self-perceived connectedness, showed no associations. Meta-analytic reverse inference further revealed that regional volume pattern of in-degree size was specifically involved in social inference ability. These findings were possible because our dataset contained the social networks of an entire village, i.e. a global network. The results suggest that the in-degree aspect of social network size not only confirms the previously reported brain correlates of the social network but also shows an association in brain regions involved in the ability to infer other people's minds. This study provides insight into understanding how the social brain is uniquely associated with sociocentric measures derived from a global network.
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spelling pubmed-58059552018-02-13 Social brain volume is associated with in-degree social network size among older adults Kwak, Seyul Joo, Won-tak Youm, Yoosik Chey, Jeanyung Proc Biol Sci Neuroscience and Cognition The social brain hypothesis proposes that large neocortex size evolved to support cognitively demanding social interactions. Accordingly, previous studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains uncertain how an individual's social connectedness reported by other people is associated with the social brain volume. In this study, we found that a greater in-degree network size, a measure of social ties identified by a subject's social connections rather than by the subject, significantly correlated with a larger regional volume of the orbitofrontal cortex, dorsomedial prefrontal cortex and lingual gyrus. By contrast, out-degree size, which is based on an individual's self-perceived connectedness, showed no associations. Meta-analytic reverse inference further revealed that regional volume pattern of in-degree size was specifically involved in social inference ability. These findings were possible because our dataset contained the social networks of an entire village, i.e. a global network. The results suggest that the in-degree aspect of social network size not only confirms the previously reported brain correlates of the social network but also shows an association in brain regions involved in the ability to infer other people's minds. This study provides insight into understanding how the social brain is uniquely associated with sociocentric measures derived from a global network. The Royal Society 2018-01-31 2018-01-24 /pmc/articles/PMC5805955/ /pubmed/29367402 http://dx.doi.org/10.1098/rspb.2017.2708 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Neuroscience and Cognition
Kwak, Seyul
Joo, Won-tak
Youm, Yoosik
Chey, Jeanyung
Social brain volume is associated with in-degree social network size among older adults
title Social brain volume is associated with in-degree social network size among older adults
title_full Social brain volume is associated with in-degree social network size among older adults
title_fullStr Social brain volume is associated with in-degree social network size among older adults
title_full_unstemmed Social brain volume is associated with in-degree social network size among older adults
title_short Social brain volume is associated with in-degree social network size among older adults
title_sort social brain volume is associated with in-degree social network size among older adults
topic Neuroscience and Cognition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805955/
https://www.ncbi.nlm.nih.gov/pubmed/29367402
http://dx.doi.org/10.1098/rspb.2017.2708
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