Literature DB >> 33563127

Neural and social correlates of attitudinal brokerage: using the complete social networks of two entire villages.

Yoosik Youm1, Junsol Kim1, Seyul Kwak2, Jeanyung Chey3.   

Abstract

To avoid polarization and maintain small-worldness in society, people who act as attitudinal brokers are critical. These people maintain social ties with people who have dissimilar and even incompatible attitudes. Based on resting-state functional magnetic resonance imaging (n = 139) and the complete social networks from two Korean villages (n = 1508), we investigated the individual-level neural capacity and social-level structural opportunity for attitudinal brokerage regarding gender role attitudes. First, using a connectome-based predictive model, we successfully identified the brain functional connectivity that predicts attitudinal diversity of respondents' social network members. Brain regions that contributed most to the prediction included mentalizing regions known to be recruited in reading and understanding others' belief states. This result was corroborated by leave-one-out cross-validation, fivefold cross-validation and external validation where the brain connectivity identified in one village was used to predict the attitudinal diversity in another independent village. Second, the association between functional connectivity and attitudinal diversity of social network members was contingent on a specific position in a social network, namely, the structural brokerage position where people have ties with two people who are not otherwise connected.

Entities:  

Keywords:  attitude; brokerage; diversity; fMRI; social brain; social network

Mesh:

Year:  2021        PMID: 33563127      PMCID: PMC7893238          DOI: 10.1098/rspb.2020.2866

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  45 in total

1.  Neural mechanisms tracking popularity in real-world social networks.

Authors:  Noam Zerubavel; Peter S Bearman; Jochen Weber; Kevin N Ochsner
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-23       Impact factor: 11.205

Review 2.  Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches.

Authors:  Anthony J Bishara; James B Hittner
Journal:  Psychol Methods       Date:  2012-05-07

3.  GOOD HEALTH AND THE BRIDGING OF STRUCTURAL HOLES.

Authors:  Benjamin Cornwell
Journal:  Soc Networks       Date:  2009-01

4.  An fMRI study of violations of social expectations: when people are not who we expect them to be.

Authors:  J Cloutier; J D E Gabrieli; D O'Young; N Ambady
Journal:  Neuroimage       Date:  2011-05-04       Impact factor: 6.556

5.  Brain connectivity dynamics during social interaction reflect social network structure.

Authors:  Ralf Schmälzle; Matthew Brook O'Donnell; Javier O Garcia; Christopher N Cascio; Joseph Bayer; Danielle S Bassett; Jean M Vettel; Emily B Falk
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-02       Impact factor: 11.205

6.  Social discounting involves modulation of neural value signals by temporoparietal junction.

Authors:  Tina Strombach; Bernd Weber; Zsofia Hangebrauk; Peter Kenning; Iliana I Karipidis; Philippe N Tobler; Tobias Kalenscher
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-20       Impact factor: 11.205

7.  The structure of scientific collaboration networks.

Authors:  M E Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-09       Impact factor: 11.205

Review 8.  Small-world brain networks.

Authors:  Danielle Smith Bassett; Ed Bullmore
Journal:  Neuroscientist       Date:  2006-12       Impact factor: 7.519

9.  Mentalizing and Information Propagation through Social Network: Evidence from a Resting-State-fMRI Study.

Authors:  Huijun Zhang; Lei Mo
Journal:  Front Psychol       Date:  2016-11-04

10.  Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals.

Authors:  Wei-Ting Hsu; Monica D Rosenberg; Dustin Scheinost; R Todd Constable; Marvin M Chun
Journal:  Soc Cogn Affect Neurosci       Date:  2018-02-01       Impact factor: 3.436

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.