In-degree centrality in a social network is linked to coordinated neural activity

Elisa C. Baek (), Ryan Hyon, Karina López, Emily S. Finn, Mason A. Porter and Carolyn Parkinson ()
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Elisa C. Baek: University of California, Los Angeles
Ryan Hyon: University of California, Los Angeles
Karina López: University of California, Los Angeles
Emily S. Finn: Dartmouth College
Mason A. Porter: University of California, Los Angeles
Carolyn Parkinson: University of California, Los Angeles

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Convergent processing of the world may be a factor that contributes to social connectedness. We use neuroimaging and network analysis to investigate the association between the social-network position (as measured by in-degree centrality) of first-year university students and their neural similarity while watching naturalistic audio-visual stimuli (specifically, videos). There were 119 students in the social-network study; 63 of them participated in the neuroimaging study. We show that more central individuals had similar neural responses to their peers and to each other in brain regions that are associated with high-level interpretations and social cognition (e.g., in the default mode network), whereas less-central individuals exhibited more variable responses. Self-reported enjoyment of and interest in stimuli followed a similar pattern, but accounting for these data did not change our main results. These findings show that neural processing of external stimuli is similar in highly-central individuals but is idiosyncratic in less-central individuals.

Date: 2022
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DOI: 10.1038/s41467-022-28432-3

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