| Literature DB >> 32507896 |
Arezoo Taebi1, Hannah Kiesow1, Kai Vogeley2,3, Leonhard Schilbach4,5,6,7, Boris C Bernhardt8, Danilo Bzdok9,10.
Abstract
The social brain hypothesis proposes that the complexity of human brains has coevolved with increasing complexity of social interactions in primate societies. The present study explored the possible relationships between brain morphology and the richness of more intimate 'inner' and wider 'outer' social circles by integrating Bayesian hierarchical modeling with a large cohort sample from the UK Biobank resource (n = 10 000). In this way, we examined population volume effects in 36 regions of the 'social brain', ranging from lower sensory to higher associative cortices. We observed strong volume effects in the visual sensory network for the group of individuals with satisfying friendships. Further, the limbic network displayed several brain regions with substantial volume variations in individuals with a lack of social support. Our population neuroscience approach thus showed that distinct networks of the social brain show different patterns of volume variations linked to the examined social indices.Entities:
Keywords: Bayesian hierarchical modeling; big data; population neuroscience; social behavior
Mesh:
Year: 2020 PMID: 32507896 PMCID: PMC7393310 DOI: 10.1093/scan/nsaa075
Source DB: PubMed Journal: Soc Cogn Affect Neurosci ISSN: 1749-5016 Impact factor: 3.436