文献详情
Differentiating guilt and shame in an interpersonal context with univariate activation and multivariate pattern analyses
文献类型:期刊
通讯作者:Liu, C (reprint author), Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, McGovern Inst Brain Res, 59 Xinjiekouwai St, Beijing 100875, Peoples R China.; Mai, XQ (reprint author), Renmin Univ China, Dept Psychol, Beijing 100872, Peoples R China.
期刊名称:NEUROIMAGE影响因子和分区
年:2019
卷:186
页码:476-486
ISSN:1053-8119
关键词:Guilt; Shame; Theory of mind; Cognitive control; Self-evaluation
所属部门:心理学系
摘要:Guilt and shame are usually evoked during interpersonal interactions. However, no study has compared guilt and shame processing under such circumstances. In the present study, we investigated guilt and shame in an interpersonal context using functional magnetic resonance imaging (fMRI). Behaviorally, participants reported more "guilt" when their wrong advice caused a confederate's economic loss, whereas they reported more "shame" when their wrong advice were correctly refused by the confederate. ...More
Guilt and shame are usually evoked during interpersonal interactions. However, no study has compared guilt and shame processing under such circumstances. In the present study, we investigated guilt and shame in an interpersonal context using functional magnetic resonance imaging (fMRI). Behaviorally, participants reported more "guilt" when their wrong advice caused a confederate's economic loss, whereas they reported more "shame" when their wrong advice were correctly refused by the confederate. The fMRI results showed that both guilt and shame activated regions related to the integration of theory of mind and self-referential information (dorsal medial prefrontal cortex, dmPFC) and to the emotional processing (anterior insula). Guilt relative to shame activated regions linked with theory of mind (supramarginal gyrus and temporo-parietal junction) and cognitive control (orbitofrontal cortex/ventrolateral prefrontal cortex and dorsolateral prefrontal cortex). Shame relative to guilt revealed no significant results. Using multivariate pattern analysis, we demonstrated that in addition to the regions found in the univariate activation analysis, the ventral anterior cingulate cortex and dmPFC could also distinguish guilt and shame. These results do not only echo previous studies of guilt and shame using recall and imagination paradigms but also provide new insights into the psychological and neural mechanisms of guilt and shame. ...Hide
DOI:10.1016/j.neuroimage.2018.11.012
百度学术:Differentiating guilt and shame in an interpersonal context with univariate activation and multivariate pattern analyses
语言:外文
被引频次:1
人气指数:2
浏览次数:2
基金:National Key R&D Program of China [2017YFC0803402]; National Natural Science Foundation of China [31871094, 31771206]; Beijing Municipal Science and Technology Commission [Z151100003915122]; National Program for Support of Top-notch Young Professionals; Research Funds of Renmin University of China [15XNLQ05]
作者其他论文
The determinants and effects of voluntary adoption of a cumulative voting system: Evidence from China.Yuan, Rongli, Liu, Chao, Xiao, Jason Zezhong, et al. .PACIFIC-BASIN FINANCE JOURNAL. 2018, 51, 251-266.
Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data.Zhang, Shen, Zhao, Peixin, Li, Gaorong, et al. .JOURNAL OF MULTIVARIATE ANALYSIS. 2019, 171, 37-52.
Differentiating guilt and shame in an interpersonal context with univariate activation and multivariate pattern analyses.Zhu, Ruida, Feng, Chunliang, Zhang, Shen, et al. .NEUROIMAGE. 2019, 186, 476-486.
Increasing the Difference in Decision Making for Oneself and for Others by Stimulating the Right Temporoparietal Junction.Zhang, Yinling, Chen, Siyang, Hu, Xinmu, et al. .FRONTIERS IN PSYCHOLOGY. 2019, 10.
The default mode network and social understanding of others: what do brain connectivity studies tell us.Li, Wanqing;Mai, Xiaoqin;Liu, Chao.FRONTIERS IN HUMAN NEUROSCIENCE.2014,8.
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Differentiating guilt and shame in an interpersonal context with univariate activation and multiva
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