ISSN 0439-755X
CN 11-1911/B


• •    


李依蔓1,2,刘程2,庄恺祥2,霍腾宾2, 徐鹏飞1,罗跃嘉1,邱江3   

  1. 1. 深圳大学
    2. 西南大学
    3. 西南大学心理学部
  • 收稿日期:2021-01-11 修回日期:2021-06-09 出版日期:2021-07-08 发布日期:2021-07-08
  • 通讯作者: 邱江
  • 基金资助:

The influence of personality traits and brain functional connectivity on social networks

  • Received:2021-01-11 Revised:2021-06-09 Online:2021-07-08 Published:2021-07-08
  • Contact: Qiu aJiang
  • Supported by:
    National Natural Science Foundation of China;Natural Science Foundation of Chongqing;the planned project of Chongqing humanities and Social Sciences;Fundamental Research Funds for the Central Universities

摘要: 采用网络分析的方法,本研究从个体受欢迎程度和个体间亲密程度两方面探究了人格特质对社交网络的影响,并在此基础上进一步探究了个体间大脑静息态功能连接相似性和社交网络的关系。结果发现:(1)高尽责性的个体在需要“值得信任”特质的社交网络中更受欢迎,高宜人性的个体在需要 “共享时光”的社交网络中更受欢迎;(2)在需要“相同兴趣”特质的社交网络中,个体间人格相似性和社交距离呈显著负相关关系;(3)同样在需要“相同兴趣”特质的社交网络中,个体间部分FC相似性与社交距离呈显著负相关关系,这些FC主要集中在额顶控制网络以及背侧注意网络。研究结果揭示了人格特质对不同社交网络结构的影响,以及个体间人格特质相似性和静息态脑网络相似性与社交距离的关系。本研究对理解社交网络的结构,形成规律以及其中的信息传播规律有着重要启示意义。

关键词: 社交网络, 人格特质, 静息态功能连接

Abstract: Background: Humans are a social species, constantly involved in complex relationships, reacting to the actions of others, and intentionally or unintentionally changing our own behavior. Personality traits reflect the behavior pattern of the individual's response to the environment, which also includes the social behavior. In addition, the brain is also an important factor when we discussing social networks. The brain provides biological mechanisms for human behavior, and social networks provide external triggers for those behaviors. Linking personality traits and brain activity to social networks can help us better understand the structure of group relationships, improve our understanding of individual human beings, and help us better predict individual social behaviors and find the rules of information transmission in interpersonal relationships. Method: From the perspective of network, we collected 9 social networks from 94 undergraduates in the same grade of a college according to their different social needs. We used the method of graph theory and resting state FMRI to explore the influence of personality traits on social networks from two aspects: individual popularity and closeness between individuals, and further explores the relationship between the similarity of brain resting state functional connectivity and social distance between individuals. Specifically, the regression analysis was carried out with personality traits as independent variables and different degree of social networks as dependent variables. Then, the correlation analysis was carried out for the social distance and similarity of personality trait. Finally, the correlation between the similarity of brain networks and social distance was further calculated. Results: (1) individuals with high conscientiousness were more popular in social networks requiring "trust" traits, and individuals with high agreeableness were more popular in social networks requiring "fun" traits. It shows that in the same group, there are different social networks according to social needs, and the popularity of individuals in different social networks is not the same, which will be affected by the corresponding personality traits; (2) In the social networks requiring "shared interests & values", personality similarity and social distance between individuals are significantly negatively correlated. Personality similarity promotes interpersonal communication between individuals, which may be realized through interpersonal attraction induced by similarity of values and interests; (3) In the same social network, there is a significant negative correlation between FC similarity and social distance among individuals, and these FC are mainly concentrated in the fronto-parietal task control network and the dorsal attention network. The similarity of resting brain functional connections among individuals may promote interpersonal communication, which may be due to the similarity of individuals in cognitive control and environmental processing bias, thus increasing interpersonal attraction and shortening social distance between individuals. Conclusion: The results reveal the influence of personality traits on the structure of different social networks, and the relationship between personality trait similarity between individuals and the similarity between resting brain networks and social distance, which has important implications for us to understand the structure of social networks, the formation rules and the information transmission rules among them. In addition, this study discussed the relationship between the similarity of resting state functional connectivity and social distance, which provides new evidence for the study of brain synchronization in interpersonal communication, and also provided brain imaging evidence for the study of the relationship between the similarity of personality trait and social distance.

Key words: social networks, personality traits, resting state functional connectivity