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• W4206536622 endingPage "4909" @default.
• W4206536622 startingPage "4897" @default.
• W4206536622 abstract "Humans have large social networks, with hundreds of interacting individuals. How does the brain represent the complex connectivity structure of these networks? Here we used social media (Facebook) data to objectively map participants' real-life social networks. We then used representational similarity analysis (RSA) of functional magnetic resonance imaging (fMRI) activity patterns to investigate the neural coding of these social networks as participants reflected on each individual. We found coding of social network distances in the default-mode network (medial prefrontal, medial parietal, and lateral parietal cortices). When using partial correlation RSA to control for other factors that can be correlated to social distance (personal affiliation, personality traits. and visual appearance, as subjectively rated by the participants), we found that social network distance information was uniquely coded in the retrosplenial complex, a region involved in spatial processing. In contrast, information on individuals' personal affiliation to the participants and personality traits was found in the medial parietal and prefrontal cortices, respectively. These findings demonstrate a cortical division between representations of non-self-referenced (allocentric) social network structure, self-referenced (egocentric) social distance, and trait-based social knowledge. SIGNIFICANCE STATEMENT Each of us has a social network composed of hundreds of individuals, with different characteristics and different relations among them. How does our brain represent this complexity? To find out, we mapped participants' social connections using Facebook data and then asked them to think about individuals from their network while undergoing functional MRI scanning. We found that the position of individuals within the social network, as well as their affiliation to the participant, are mapped in the retrosplenial complex, a region involved in spatial processing. Individuals' personality traits were coded in another region, the medial prefrontal cortex. Our findings demonstrate a neural dissociation among different aspects of social knowledge and suggest a link between spatial and social cognitive mapping." @default.
• W4206536622 created "2022-01-26" @default.
• W4206536622 creator A5023937450 @default.
• W4206536622 creator A5039612296 @default.
• W4206536622 creator A5057911160 @default.
• W4206536622 creator A5065496446 @default.
• W4206536622 date "2021-04-26" @default.
• W4206536622 modified "2023-10-17" @default.
• W4206536622 title "Brain Coding of Social Network Structure" @default.
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• W4206536622 doi "https://doi.org/10.1523/jneurosci.2641-20.2021" @default.
• W4206536622 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33903220" @default.

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