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Neural bases of recommendations differ according to social network structure
Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others—high information brokers—use their brains differently than low information brokers when making recommendations? W...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390723/ https://www.ncbi.nlm.nih.gov/pubmed/28100830 http://dx.doi.org/10.1093/scan/nsw158 |
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author | O’Donnell, Matthew Brook Bayer, Joseph B. Cascio, Christopher N. Falk, Emily B. |
author_facet | O’Donnell, Matthew Brook Bayer, Joseph B. Cascio, Christopher N. Falk, Emily B. |
author_sort | O’Donnell, Matthew Brook |
collection | PubMed |
description | Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others—high information brokers—use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. ‘mentalizing’) more when spreading ideas. We used social network analysis to quantify individuals’ opportunities for information brokerage. This served as a predictor of activity within meta-analytically defined neural regions associated with mentalizing (dorsomedial prefrontal cortex, temporal parietal junction, medial prefrontal cortex, /posterior cingulate cortex, middle temporal gyrus) as participants received feedback about peer opinions of mobile game apps. Higher information brokers exhibited more activity in this mentalizing network when receiving divergent peer feedback and updating their recommendation. These data support the idea that those in different network positions may use their brains differently to perform social tasks. Different social network positions might provide more opportunities to engage specific psychological processes. Or those who tend to engage such processes more may place themselves in systematically different network positions. These data highlight the value of integrating levels of analysis, from brain networks to social networks. |
format | Online Article Text |
id | pubmed-5390723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-53907232017-05-01 Neural bases of recommendations differ according to social network structure O’Donnell, Matthew Brook Bayer, Joseph B. Cascio, Christopher N. Falk, Emily B. Soc Cogn Affect Neurosci Original Articles Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others—high information brokers—use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. ‘mentalizing’) more when spreading ideas. We used social network analysis to quantify individuals’ opportunities for information brokerage. This served as a predictor of activity within meta-analytically defined neural regions associated with mentalizing (dorsomedial prefrontal cortex, temporal parietal junction, medial prefrontal cortex, /posterior cingulate cortex, middle temporal gyrus) as participants received feedback about peer opinions of mobile game apps. Higher information brokers exhibited more activity in this mentalizing network when receiving divergent peer feedback and updating their recommendation. These data support the idea that those in different network positions may use their brains differently to perform social tasks. Different social network positions might provide more opportunities to engage specific psychological processes. Or those who tend to engage such processes more may place themselves in systematically different network positions. These data highlight the value of integrating levels of analysis, from brain networks to social networks. Oxford University Press 2017-01 2017-01-24 /pmc/articles/PMC5390723/ /pubmed/28100830 http://dx.doi.org/10.1093/scan/nsw158 Text en © The Author(s) (2017). Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles O’Donnell, Matthew Brook Bayer, Joseph B. Cascio, Christopher N. Falk, Emily B. Neural bases of recommendations differ according to social network structure |
title | Neural bases of recommendations differ according to social network structure |
title_full | Neural bases of recommendations differ according to social network structure |
title_fullStr | Neural bases of recommendations differ according to social network structure |
title_full_unstemmed | Neural bases of recommendations differ according to social network structure |
title_short | Neural bases of recommendations differ according to social network structure |
title_sort | neural bases of recommendations differ according to social network structure |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390723/ https://www.ncbi.nlm.nih.gov/pubmed/28100830 http://dx.doi.org/10.1093/scan/nsw158 |
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