气候变化领域集成服务门户(CCPortal): Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village

CCPortal

DOI	10.1073/PNAS.2013606117
	Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village
	Hyon R.; Youm Y.; Kim J.; Chey J.; Kwak S.; Parkinson C.
发表日期	2021
ISSN	00278424
起始页码	33149
结束页码	33160
卷号	117 期号:52
英文摘要	People often have the intuition that they are similar to their friends, yet evidence for homophily (being friends with similar others) based on self-reported personality is inconsistent. Functional connectomes—patterns of spontaneous synchronization across the brain—are stable within individuals and predict how people tend to think and behave. Thus, they may capture interindividual variability in latent traits that are particularly similar among friends but that might elude self-report. Here, we examined interpersonal similarity in functional connectivity at rest—that is, in the absence of external stimuli—and tested if functional connectome similarity is associated with proximity in a real-world social network. The social network of a remote village was reconstructed; a subset of residents underwent functional magnetic resonance imaging. Similarity in functional connectomes was positively related to social network proximity, particularly in the default mode network. Controlling for similarities in demographic and personality data (the Big Five personality traits) yielded similar results. Thus, functional connectomes may capture latent interpersonal similarities between friends that are not fully captured by commonly used demographic or personality measures. The localization of these results suggests how friends may be particularly similar to one another. Additionally, geographic proximity moderated the relationship between neural similarity and social network proximity, suggesting that such associations are particularly strong among people who live particularly close to one another. These findings suggest that social connectivity is reflected in signatures of brain functional connectivity, consistent with the common intuition that friends share similarities that go beyond, for example, demographic similarities. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	FMRI; Functional connectomes; Homophily; Resting state; Social networks
语种	英语
scopus关键词	adult; article; connectome; default mode network; demography; female; friend; functional connectivity; functional magnetic resonance imaging; human; human experiment; intimacy; intuition; male; personality; resident; social network; aged; brain; human relation; nuclear magnetic resonance imaging; physiology; rural population; very elderly; Aged; Aged, 80 and over; Brain; Connectome; Female; Friends; Humans; Interpersonal Relations; Magnetic Resonance Imaging; Male; Personality; Rural Population
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179672
作者单位	Department of Psychology, University of California, Los Angeles, CA 90095, United States; Department of Sociology, Yonsei University, Seoul, 03722, South Korea; Department of Psychology, Seoul National University, Seoul, 08826, South Korea; Seoul Metropolitan Government, Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, 03080, South Korea; Brain Research Institute, University of California, Los Angeles, CA 90095, United States
推荐引用方式 GB/T 7714	Hyon R.,Youm Y.,Kim J.,et al. Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village[J],2021,117(52).
APA	Hyon R.,Youm Y.,Kim J.,Chey J.,Kwak S.,&Parkinson C..(2021).Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village.Proceedings of the National Academy of Sciences of the United States of America,117(52).
MLA	Hyon R.,et al."Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village".Proceedings of the National Academy of Sciences of the United States of America 117.52(2021).