Literature DB >> 35086149

Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns.

Chris Zajner1, R Nathan Spreng1, Danilo Bzdok1,2,3.   

Abstract

Elaborate social interaction is a pivotal asset of the human species. The complexity of people's social lives may constitute the dominating factor in the vibrancy of many individuals' environment. The neural substrates linked to social cognition thus appear especially susceptible when people endure periods of social isolation: here, we zoom in on the systematic inter-relationships between two such neural substrates, the allocortical hippocampus (HC) and the neocortical default network (DN). Previous human social neuroscience studies have focused on the DN, while HC subfields have been studied in most detail in rodents and monkeys. To bring into contact these two separate research streams, we directly quantified how DN subregions are coherently co-expressed with specific HC subfields in the context of social isolation. A two-pronged decomposition of structural brain scans from ∼40 000 UK Biobank participants linked lack of social support to mostly lateral subregions in the DN patterns. This lateral DN association co-occurred with HC patterns that implicated especially subiculum, presubiculum, CA2, CA3 and dentate gyrus. Overall, the subregion divergences within spatially overlapping signatures of HC-DN co-variation followed a clear segregation into the left and right brain hemispheres. Separable regimes of structural HC-DN co-variation also showed distinct associations with the genetic predisposition for lacking social support at the population level.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Keywords:  default network fragmentation; higher-order association cortex; hippocampus subfields; population neuroscience; social isolation

Mesh:

Year:  2022        PMID: 35086149      PMCID: PMC9433851          DOI: 10.1093/scan/nsac006

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   4.235


  145 in total

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