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Neural basis of increased costly norm enforcement under adversity.
Soc Cogn Affect Neurosci. 2014 Dec; 9(12):1862-71.SC

Abstract

Humans are willing to punish norm violations even at a substantial personal cost. Using fMRI and a variant of the ultimatum game and functional magnetic resonance imaging, we investigated how the brain differentially responds to fairness in loss and gain domains. Participants (responders) received offers from anonymous partners indicating a division of an amount of monetary gain or loss. If they accept, both get their shares according to the division; if they reject, both get nothing or lose the entire stake. We used a computational model to derive perceived fairness of offers and participant-specific inequity aversion. Behaviorally, participants were more likely to reject unfair offers in the loss (vs gain) domain. Neurally, the positive correlation between fairness and activation in ventral striatum was reduced, whereas the negative correlations between fairness and activations in dorsolateral prefrontal cortex were enhanced in the loss domain. Moreover, rejection-related dorsal striatum activation was higher in the loss domain. Furthermore, the gain-loss domain modulates costly punishment only when unfair behavior was directed toward the participants and not when it was directed toward others. These findings provide neural and computational accounts of increased costly norm enforcement under adversity and advanced our understanding of the context-dependent nature of fairness preference.

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Authors+Show Affiliations

Wu Y
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Yu H
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Shen B
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Yu R
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Zhou Z
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Zhang G
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Jiang Y
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
Zhou X
Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China, Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China, and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China Department of Psychology, School of Educational Sciences, Hangzhou Normal University, Hangzhou 310036, China, Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing 100871, China, School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China, The China Academy of Corporate Governance and Business School, Nankai University, Tianjin 300071, China, School of Economics and Management, Southwest Jiaotong Un

MeSH

BrainBrain MappingComputer SimulationDecision MakingFemaleGames, ExperimentalHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleModels, PsychologicalOxygenPunishmentSocial BehaviorYoung Adult

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24396005

Citation

Wu, Yan, et al. "Neural Basis of Increased Costly Norm Enforcement Under Adversity." Social Cognitive and Affective Neuroscience, vol. 9, no. 12, 2014, pp. 1862-71.
Wu Y, Yu H, Shen B, et al. Neural basis of increased costly norm enforcement under adversity. Soc Cogn Affect Neurosci. 2014;9(12):1862-71.
Wu, Y., Yu, H., Shen, B., Yu, R., Zhou, Z., Zhang, G., Jiang, Y., & Zhou, X. (2014). Neural basis of increased costly norm enforcement under adversity. Social Cognitive and Affective Neuroscience, 9(12), 1862-71. https://doi.org/10.1093/scan/nst187
Wu Y, et al. Neural Basis of Increased Costly Norm Enforcement Under Adversity. Soc Cogn Affect Neurosci. 2014;9(12):1862-71. PubMed PMID: 24396005.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Neural basis of increased costly norm enforcement under adversity. AU - Wu,Yan, AU - Yu,Hongbo, AU - Shen,Bo, AU - Yu,Rongjun, AU - Zhou,Zhiheng, AU - Zhang,Guoping, AU - Jiang,Yushi, AU - Zhou,Xiaolin, Y1 - 2014/01/05/ PY - 2014/1/8/entrez PY - 2014/1/8/pubmed PY - 2015/7/21/medline KW - computational modeling KW - costly norm enforcement KW - fMRI KW - fairness KW - ultimatum game SP - 1862 EP - 71 JF - Social cognitive and affective neuroscience JO - Soc Cogn Affect Neurosci VL - 9 IS - 12 N2 - Humans are willing to punish norm violations even at a substantial personal cost. Using fMRI and a variant of the ultimatum game and functional magnetic resonance imaging, we investigated how the brain differentially responds to fairness in loss and gain domains. Participants (responders) received offers from anonymous partners indicating a division of an amount of monetary gain or loss. If they accept, both get their shares according to the division; if they reject, both get nothing or lose the entire stake. We used a computational model to derive perceived fairness of offers and participant-specific inequity aversion. Behaviorally, participants were more likely to reject unfair offers in the loss (vs gain) domain. Neurally, the positive correlation between fairness and activation in ventral striatum was reduced, whereas the negative correlations between fairness and activations in dorsolateral prefrontal cortex were enhanced in the loss domain. Moreover, rejection-related dorsal striatum activation was higher in the loss domain. Furthermore, the gain-loss domain modulates costly punishment only when unfair behavior was directed toward the participants and not when it was directed toward others. These findings provide neural and computational accounts of increased costly norm enforcement under adversity and advanced our understanding of the context-dependent nature of fairness preference. SN - 1749-5024 UR - https://www.unboundmedicine.com/medline/citation/24396005/Neural_basis_of_increased_costly_norm_enforcement_under_adversity_ DB - PRIME DP - Unbound Medicine ER -