Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns
When confronted with injustice, individuals often intervene as third parties to restore justice by either punishing the perpetrator or helping the victim, even at their own expense. However, little is known about how individual differences in third-party intervention propensity are related to inter-...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923006195 |
| _version_ | 1797359975739162624 |
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| author | Yancheng Tang Yang Hu Jie Zhuang Chunliang Feng Xiaolin Zhou |
| author_facet | Yancheng Tang Yang Hu Jie Zhuang Chunliang Feng Xiaolin Zhou |
| author_sort | Yancheng Tang |
| collection | DOAJ |
| description | When confronted with injustice, individuals often intervene as third parties to restore justice by either punishing the perpetrator or helping the victim, even at their own expense. However, little is known about how individual differences in third-party intervention propensity are related to inter-individual variability in intrinsic brain connectivity patterns and how these associations vary between help and punishment intervention. To address these questions, we employed a novel behavioral paradigm in combination with resting-state fMRI and inter-subject representational similarity analysis (IS-RSA). Participants acted as third-party bystanders and needed to decide whether to maintain the status quo or intervene by either helping the disadvantaged recipient (Help condition) or punishing the proposer (Punish condition) at a specific cost. Our analyses focused on three brain networks proposed in the third-party punishment (TPP) model: the salience (e.g., dorsal anterior cingulate cortex, dACC), central executive (e.g., dorsolateral prefrontal cortex, dlPFC), and default mode (e.g., dorsomedial prefrontal cortex, dmPFC; temporoparietal junction, TPJ) networks. IS-RSA showed that individual differences in resting-state functional connectivity (rs-FC) patterns within these networks were associated with the general third-party intervention propensity. Moreover, rs-FC patterns of the right dlPFC and right TPJ were more strongly associated with individual differences in the helping propensity rather than the punishment propensity, whereas the opposite pattern was observed for the dmPFC. Post-hoc predictive modeling confirmed the predictive power of rs-FC in these regions for intervention propensity across individuals. Collectively, these findings shed light on the shared and distinct roles of key regions in TPP brain networks at rest in accounting for individual variations in justice-restoring intervention behaviors. |
| first_indexed | 2024-03-08T15:31:42Z |
| format | Article |
| id | doaj.art-81a3329bdf844a1b961e024b25c6030b |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-03-08T15:31:42Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-81a3329bdf844a1b961e024b25c6030b2024-01-10T04:34:48ZengElsevierNeuroImage1095-95722024-01-01285120468Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patternsYancheng Tang0Yang Hu1Jie Zhuang2Chunliang Feng3Xiaolin Zhou4Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, ChinaSchool of Psychology and Cognitive Science, Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, East China Normal University, Shanghai, China; Corresponding authors.School of Psychology, Shanghai University of Sport, Shanghai, ChinaSchool of Psychology, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, ChinaKey Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; School of Psychology and Cognitive Science, Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, East China Normal University, Shanghai, China; Corresponding authors.When confronted with injustice, individuals often intervene as third parties to restore justice by either punishing the perpetrator or helping the victim, even at their own expense. However, little is known about how individual differences in third-party intervention propensity are related to inter-individual variability in intrinsic brain connectivity patterns and how these associations vary between help and punishment intervention. To address these questions, we employed a novel behavioral paradigm in combination with resting-state fMRI and inter-subject representational similarity analysis (IS-RSA). Participants acted as third-party bystanders and needed to decide whether to maintain the status quo or intervene by either helping the disadvantaged recipient (Help condition) or punishing the proposer (Punish condition) at a specific cost. Our analyses focused on three brain networks proposed in the third-party punishment (TPP) model: the salience (e.g., dorsal anterior cingulate cortex, dACC), central executive (e.g., dorsolateral prefrontal cortex, dlPFC), and default mode (e.g., dorsomedial prefrontal cortex, dmPFC; temporoparietal junction, TPJ) networks. IS-RSA showed that individual differences in resting-state functional connectivity (rs-FC) patterns within these networks were associated with the general third-party intervention propensity. Moreover, rs-FC patterns of the right dlPFC and right TPJ were more strongly associated with individual differences in the helping propensity rather than the punishment propensity, whereas the opposite pattern was observed for the dmPFC. Post-hoc predictive modeling confirmed the predictive power of rs-FC in these regions for intervention propensity across individuals. Collectively, these findings shed light on the shared and distinct roles of key regions in TPP brain networks at rest in accounting for individual variations in justice-restoring intervention behaviors.http://www.sciencedirect.com/science/article/pii/S1053811923006195Third-party interventionResting-state fMRI (rs-fMRI)Resting-state functional connectivity (rs-FC)Inter-subject representational similarity analysis (IS-RSA)Individual difference |
| spellingShingle | Yancheng Tang Yang Hu Jie Zhuang Chunliang Feng Xiaolin Zhou Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns NeuroImage Third-party intervention Resting-state fMRI (rs-fMRI) Resting-state functional connectivity (rs-FC) Inter-subject representational similarity analysis (IS-RSA) Individual difference |
| title | Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| title_full | Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| title_fullStr | Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| title_full_unstemmed | Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| title_short | Uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| title_sort | uncovering individual variations in bystander intervention of injustice through intrinsic brain connectivity patterns |
| topic | Third-party intervention Resting-state fMRI (rs-fMRI) Resting-state functional connectivity (rs-FC) Inter-subject representational similarity analysis (IS-RSA) Individual difference |
| url | http://www.sciencedirect.com/science/article/pii/S1053811923006195 |
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