ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报 ›› 2021, Vol. 53 ›› Issue (12): 1335-1347.doi: 10.3724/SP.J.1041.2021.01335

• 研究报告 • 上一篇    下一篇

人格特质及脑功能连接对社交网络的影响

李依蔓1,3, 刘程1, 庄恺祥1, 霍腾宾1, 徐鹏飞5, 罗跃嘉3,4,5,6, 邱江1,2()   

  1. 1西南大学心理学部, 重庆 400715
    2认知与人格教育部重点实验室, 重庆 400715
    3深圳大学心理学院, 深圳 518060
    4深圳大学脑疾病与认知科学研究中心, 深圳 518060
    5北京师范大学心理学部, 北京 100875
    6齐鲁师范学院教师教育学院, 心理学与认知神经科学研究所, 济南 250200
  • 收稿日期:2021-01-11 出版日期:2021-12-25 发布日期:2021-10-26
  • 通讯作者: 邱江 E-mail:qiuj318@swu.edu.cn
  • 基金资助:
    国家自然科学基金项目(31771231);重庆市自然科学基金项目(cstc2019jcyj-msxmX0520);重庆市社会科学规划项目(2018PY80);中央高校基本科研业务专项资金(SWU119007);国家社科重大项目(20&ZD153);广东省科技项目(2019A050510048)

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

LI Yiman1,3, LIU Cheng1, ZHUANG Kaixiang1, HUO Tengbin1, XU Pengfei5, LUO Yuejia3,4,5,6, QIU Jiang1,2()   

  1. 1School of Psychology, Southwest University, Chongqing 400715, China
    2Key Laboratory of Cognition and Personality, Chongqing 400715, China
    3School of Psychology, Shenzhen University, Shenzhen 518060, China
    4Center for Brain Disorders and Cognitive Sciences, Shenzhen 518060, China
    5Faculty of Psychology, Beijing Normal University, Beijing 100875, China
    6Teacher Education College, Qilu Normal University; Institute of Psychology and Cognitive Neuroscience, Jinan 250200, China
  • Received:2021-01-11 Online:2021-12-25 Published:2021-10-26
  • Contact: QIU Jiang E-mail:qiuj318@swu.edu.cn

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会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, 个体间部分功能连接相似性与社会距离呈显著负相关关系, 这些功能连接主要集中在额顶控制网络以及背侧注意网络; 同时, 部分节点功能连接相似性与社会距离呈显著正相关关系, 这些功能连接主要集中在默认网络。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会距离的关系。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:

Humans are a social species that are constantly involved in complex relationships, reacting to the actions of others, and intentionally or unintentionally changing our own behavior. Personality traits reflect the behavioral pattern of an individual's response to the environment, which also includes social behavior. In addition, the brain is also an important factor when discussing social networks. The brain provides biological mechanisms for human behavior, while social networks provide external triggers for these 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. From the perspective of a network, we collected nine social networks from 94 undergraduate students in the same grade according to their different social needs. We used the graph theory and resting-state functional magnetic resonance imaging to explore the influence of personality traits on social networks based on individual popularity and closeness between individuals and the relationship between the similarity of brain resting-state functional connectivity and social distance between individuals. Specifically, regression analysis was carried out, with personality traits as the independent variables and the different degrees of social networks as the dependent variables. Then, a correlation analysis was performed for the social distance and similarity of personality traits. Finally, the correlation between the similarity of the brain networks and social distance was calculated.
The results showed that (1) individuals with high conscientiousness were more popular in social networks requiring "trust" traits, while individuals with high agreeableness were more popular in social networks requiring "fun" traits. These findings showed 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 similar as it will be affected by the corresponding personality traits; (2) In the social networks requiring "shared interests & values, " personality similarity and social distance between individuals were significantly negatively correlated. Personality similarity promotes interpersonal communication between individuals, which may be realized through interpersonal attraction induced by the similarity of values and interests; (3) In the same social network, there is a significantly negative correlation between similarities in functional connections (FCs) and social distance among individuals, and these FCs are mainly concentrated in the fronto-parietal task control network and the dorsal attention network. The similarity of resting brain FCs among individuals may promote interpersonal communication, possibly due to the similarity of individuals in cognitive control and environmental processing bias, which increases the interpersonal attraction and shortening the social distance between individuals. The results revealed the influence of personality traits on the structure of different social networks, the relationship between personality trait similarity among individuals, and the similarity between resting brain networks and social distance, which has important implications for understanding 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 FC and social distance, providing new evidence for studies on brain synchronization in interpersonal communication and brain imaging evidence for the study of the relationship between the similarity of personality traits and social distance.

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

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