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The social transmission of empathy relies on observational reinforcement learning
Zhou, Yuqing1,2; Han, Shihui3; Kang, Pyungwon4,5,6,7; Tobler, Philippe N.4,5,6,7; Hein, Grit2
第一作者Zhou, Yuqing
心理所单位排序1
摘要

Theories of moral development propose that empathy is transmitted across individuals. However, the mechanisms through which empathy is socially transmitted remain unclear. Here, we combine computational learning models and functional MRI to investigate whether, and if so, how empathic and non- empathic responses observed in others affect the empathy of female observers. The results of three independent studies showed that watching empathic or non- empathic responses generates a learning signal that respectively increases or decreases empathy ratings of the observer. A fourth study revealed that the learning- related transmission of empathy is stronger when observing human rather than computer demonstrators. Finally, we show that the social transmission of empathy alters empathy- related responses in the anterior insula, i.e., the same region that correlated with empathy baseline ratings, as well as its functional connectivity with the temporoparietal junction. Together, our findings provide a computational and neural mechanism for the social transmission of empathy that accounts for changes in individual empathic responses in empathic and non- empathic social environments.

关键词empathy observational learning fMRI
2024-02-27
语种英语
DOI10.1073/pnas.2313073121
发表期刊PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
卷号121期号:9页码:12
期刊论文类型综述
收录类别SCI
资助项目German Research Foundation[HE 4566/6-1] ; German Research Foundation[HE 4566/3-2] ; Swiss NSF[100014_165884] ; Swiss NSF[100019_176016] ; Swiss NSF[IZKSZ3_162109] ; National Natural Science Foundation of China[32230043] ; National Natural Science Foundation of China[32371092] ; National Natural Science Foundation of China[32300880] ; Ministry of Science and Technology of China[2019YFA0707103] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E3CX1225] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E2CX1524YZ] ; Swiss National Science Foundation (SNF)[IZKSZ3_162109]
出版者NATL ACAD SCIENCES
WOS关键词INDIVIDUAL-DIFFERENCES ; PAIN ; NETWORK ; MODEL ; METAANALYSIS ; ADOLESCENTS ; UNCERTAINTY ; CONFORMITY ; COMPONENTS ; OTHERS
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:001208569300010
WOS分区Q1
资助机构German Research Foundation ; Swiss NSF ; National Natural Science Foundation of China ; Ministry of Science and Technology of China ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; Swiss National Science Foundation (SNF)
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/47785
专题中国科学院行为科学重点实验室
通讯作者Zhou, Yuqing; Hein, Grit
作者单位1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Univ Wurzburg, Dept Psychiat Psychosomat & Psychotherapy, Translat Social Neurosci Unit, D-97080 Wurzburg, Germany
3.Peking Univ, McGovern Inst Brain Res, Sch Psychol & Cognit Sci, Beijing Key Lab Behav & Mental Hlth,PKU IDG, Beijing 100871, Peoples R China
4.Univ Zurich, Lab Social & Neural Syst Res, CH-8006 Zurich, Switzerland
5.Univ Zurich, Dept Econ, CH-8006 Zurich, Switzerland
6.Univ Zurich, Neurosci Ctr Zurich, CH-8006 Zurich, Switzerland
7.Swiss Fed Inst Technol Zurich, CH-8006 Zurich, Switzerland
第一作者单位中国科学院行为科学重点实验室
通讯作者单位中国科学院行为科学重点实验室
推荐引用方式
GB/T 7714
Zhou, Yuqing,Han, Shihui,Kang, Pyungwon,et al. The social transmission of empathy relies on observational reinforcement learning[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2024,121(9):12.
APA Zhou, Yuqing,Han, Shihui,Kang, Pyungwon,Tobler, Philippe N.,&Hein, Grit.(2024).The social transmission of empathy relies on observational reinforcement learning.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,121(9),12.
MLA Zhou, Yuqing,et al."The social transmission of empathy relies on observational reinforcement learning".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 121.9(2024):12.
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