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The social network-network: size is predicted by brain structure and function in the amygdala and paralimbic regions
Author(s) -
R. Von Der Heide,
Govinda Vyas,
Ingrid R. Olson
Publication year - 2014
Publication title -
social cognitive and affective neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.229
H-Index - 103
eISSN - 1749-5024
pISSN - 1749-5016
DOI - 10.1093/scan/nsu009
Subject(s) - psychology , functional magnetic resonance imaging , amygdala , closeness , entorhinal cortex , neocortex , cognitive psychology , brain mapping , orbitofrontal cortex , social network (sociolinguistics) , neuroscience , cognition , developmental psychology , hippocampus , prefrontal cortex , social media , mathematical analysis , mathematics , political science , law
The social brain hypothesis proposes that the large size of the primate neocortex evolved to support complex and demanding social interactions. Accordingly, recent studies have reported correlations between the size of an individual's social network and the density of gray matter (GM) in regions of the brain implicated in social cognition. However, the reported relationships between GM density and social group size are somewhat inconsistent with studies reporting correlations in different brain regions. One factor that might account for these discrepancies is the use of different measures of social network size (SNS). This study used several measures of SNS to assess the relationships SNS and GM density. The second goal of this study was to test the relationship between social network measures and functional brain activity. Participants performed a social closeness task using photos of their friends and unknown people. Across the VBM and functional magnetic resonance imaging analyses, individual differences in SNS were consistently related to structural and functional differences in three regions: the left amygdala, right amygdala and the right entorhinal/ventral anterior temporal cortex.

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