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Pain tolerance predicts human social network size
Personal social network size exhibits considerable variation in the human population and is associated with both physical and mental health status. Much of this inter-individual variation in human sociality remains unexplained from a biological perspective. According to the brain opioid theory of so...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848525/ https://www.ncbi.nlm.nih.gov/pubmed/27121297 http://dx.doi.org/10.1038/srep25267 |
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author | Johnson, Katerina V.-A. Dunbar, Robin I. M. |
author_facet | Johnson, Katerina V.-A. Dunbar, Robin I. M. |
author_sort | Johnson, Katerina V.-A. |
collection | PubMed |
description | Personal social network size exhibits considerable variation in the human population and is associated with both physical and mental health status. Much of this inter-individual variation in human sociality remains unexplained from a biological perspective. According to the brain opioid theory of social attachment, binding of the neuropeptide β-endorphin to μ-opioid receptors in the central nervous system (CNS) is a key neurochemical mechanism involved in social bonding, particularly amongst primates. We hypothesise that a positive association exists between activity of the μ-opioid system and the number of social relationships that an individual maintains. Given the powerful analgesic properties of β-endorphin, we tested this hypothesis using pain tolerance as an assay for activation of the endogenous μ-opioid system. We show that a simple measure of pain tolerance correlates with social network size in humans. Our results are in line with previous studies suggesting that μ-opioid receptor signalling has been elaborated beyond its basic function of pain modulation to play an important role in managing our social encounters. The neuroplasticity of the μ-opioid system is of future research interest, especially with respect to psychiatric disorders associated with symptoms of social withdrawal and anhedonia, both of which are strongly modulated by endogenous opioids. |
format | Online Article Text |
id | pubmed-4848525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48485252016-05-05 Pain tolerance predicts human social network size Johnson, Katerina V.-A. Dunbar, Robin I. M. Sci Rep Article Personal social network size exhibits considerable variation in the human population and is associated with both physical and mental health status. Much of this inter-individual variation in human sociality remains unexplained from a biological perspective. According to the brain opioid theory of social attachment, binding of the neuropeptide β-endorphin to μ-opioid receptors in the central nervous system (CNS) is a key neurochemical mechanism involved in social bonding, particularly amongst primates. We hypothesise that a positive association exists between activity of the μ-opioid system and the number of social relationships that an individual maintains. Given the powerful analgesic properties of β-endorphin, we tested this hypothesis using pain tolerance as an assay for activation of the endogenous μ-opioid system. We show that a simple measure of pain tolerance correlates with social network size in humans. Our results are in line with previous studies suggesting that μ-opioid receptor signalling has been elaborated beyond its basic function of pain modulation to play an important role in managing our social encounters. The neuroplasticity of the μ-opioid system is of future research interest, especially with respect to psychiatric disorders associated with symptoms of social withdrawal and anhedonia, both of which are strongly modulated by endogenous opioids. Nature Publishing Group 2016-04-28 /pmc/articles/PMC4848525/ /pubmed/27121297 http://dx.doi.org/10.1038/srep25267 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Johnson, Katerina V.-A. Dunbar, Robin I. M. Pain tolerance predicts human social network size |
title | Pain tolerance predicts human social network size |
title_full | Pain tolerance predicts human social network size |
title_fullStr | Pain tolerance predicts human social network size |
title_full_unstemmed | Pain tolerance predicts human social network size |
title_short | Pain tolerance predicts human social network size |
title_sort | pain tolerance predicts human social network size |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848525/ https://www.ncbi.nlm.nih.gov/pubmed/27121297 http://dx.doi.org/10.1038/srep25267 |
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