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The structural and functional brain networks that support human social networks
Social skills rely on a specific set of cognitive processes, raising the possibility that individual differences in social networks are related to differences in specific brain structural and functional networks. Here, we tested this hypothesis with multimodality neuroimaging. With diffusion MRI (DM...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier/North-Holland Biomedical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152579/ https://www.ncbi.nlm.nih.gov/pubmed/29471028 http://dx.doi.org/10.1016/j.bbr.2018.02.019 |
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author | Noonan, M.P. Mars, R.B. Sallet, J. Dunbar, R.I.M. Fellows, L.K. |
author_facet | Noonan, M.P. Mars, R.B. Sallet, J. Dunbar, R.I.M. Fellows, L.K. |
author_sort | Noonan, M.P. |
collection | PubMed |
description | Social skills rely on a specific set of cognitive processes, raising the possibility that individual differences in social networks are related to differences in specific brain structural and functional networks. Here, we tested this hypothesis with multimodality neuroimaging. With diffusion MRI (DMRI), we showed that differences in structural integrity of particular white matter (WM) tracts, including cingulum bundle, extreme capsule and arcuate fasciculus were associated with an individual’s social network size (SNS). A voxel-based morphology analysis demonstrated correlations between gray matter (GM) volume and SNS in limbic and temporal lobe regions. These structural changes co-occured with functional network differences. As a function of SNS, dorsomedial and dorsolateral prefrontal cortex showed altered resting-state functional connectivity with the default mode network (DMN). Finally, we integrated these three complementary methods, interrogating the relationship between social GM clusters and specific WM and resting-state networks (RSNs). Probabilistic tractography seeded in these GM nodes utilized the SNS-related WM pathways. Further, the spatial and functional overlap between the social GM clusters and the DMN was significantly closer than other control RSNs. These integrative analyses provide convergent evidence of the role of specific circuits in SNS, likely supporting the adaptive behavior necessary for success in extensive social environments. |
format | Online Article Text |
id | pubmed-6152579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier/North-Holland Biomedical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61525792018-12-14 The structural and functional brain networks that support human social networks Noonan, M.P. Mars, R.B. Sallet, J. Dunbar, R.I.M. Fellows, L.K. Behav Brain Res Article Social skills rely on a specific set of cognitive processes, raising the possibility that individual differences in social networks are related to differences in specific brain structural and functional networks. Here, we tested this hypothesis with multimodality neuroimaging. With diffusion MRI (DMRI), we showed that differences in structural integrity of particular white matter (WM) tracts, including cingulum bundle, extreme capsule and arcuate fasciculus were associated with an individual’s social network size (SNS). A voxel-based morphology analysis demonstrated correlations between gray matter (GM) volume and SNS in limbic and temporal lobe regions. These structural changes co-occured with functional network differences. As a function of SNS, dorsomedial and dorsolateral prefrontal cortex showed altered resting-state functional connectivity with the default mode network (DMN). Finally, we integrated these three complementary methods, interrogating the relationship between social GM clusters and specific WM and resting-state networks (RSNs). Probabilistic tractography seeded in these GM nodes utilized the SNS-related WM pathways. Further, the spatial and functional overlap between the social GM clusters and the DMN was significantly closer than other control RSNs. These integrative analyses provide convergent evidence of the role of specific circuits in SNS, likely supporting the adaptive behavior necessary for success in extensive social environments. Elsevier/North-Holland Biomedical Press 2018-12-14 /pmc/articles/PMC6152579/ /pubmed/29471028 http://dx.doi.org/10.1016/j.bbr.2018.02.019 Text en Crown Copyright © 2018 Published by Elsevier B.V. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Noonan, M.P. Mars, R.B. Sallet, J. Dunbar, R.I.M. Fellows, L.K. The structural and functional brain networks that support human social networks |
title | The structural and functional brain networks that support human social networks |
title_full | The structural and functional brain networks that support human social networks |
title_fullStr | The structural and functional brain networks that support human social networks |
title_full_unstemmed | The structural and functional brain networks that support human social networks |
title_short | The structural and functional brain networks that support human social networks |
title_sort | structural and functional brain networks that support human social networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152579/ https://www.ncbi.nlm.nih.gov/pubmed/29471028 http://dx.doi.org/10.1016/j.bbr.2018.02.019 |
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