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Abstract
In the past few decades, research on pain and placebo analgesia has gained importance both scientifically and clinically. In this article, the current findings and focus of research as well as the significance of placebo research for assessing the effectiveness of pain medication are illustrated. The underlying mechanisms of placebo analgesia not only have implications for theoretical models but also offer clinically relevant guidelines for everyday interventions in pain treatment. However, many placebo phenomena are not fully understood and have to be investigated further in order to exploit the full potential of placebo effects. Interindividual differences and their inclusion in treatment will play a major role in this aspect.
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Affiliation(s)
- R Klinger
- Zentrum für Anästhesiologie und Intensivmedizin, Klinik und Poliklinik für Anästhesiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Deutschland.
| | - M Schwartz
- Zentrum für Anästhesiologie und Intensivmedizin, Klinik und Poliklinik für Anästhesiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Deutschland
| | - U Bingel
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Deutschland
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52
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Guilty by association: How group-based (collective) guilt arises in the brain. Neuroimage 2020; 209:116488. [PMID: 31884056 DOI: 10.1016/j.neuroimage.2019.116488] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 12/19/2019] [Accepted: 12/20/2019] [Indexed: 11/24/2022] Open
Abstract
People do not only feel guilty for transgressions that they are causally responsible for (i.e., personal guilt); they also feel guilty for transgressions committed by those they identify as in-group members (i.e., collective or group-based guilt). Decades of research using scenario-based imagination tasks and self-reported measures has shown that when reminded of transgressions committed by in-group members, people express guilt and are willing to make amends, even when they are not causally responsible for the transgressions. However, it remains elusive whether people genuinely experience guilt or simply display remorseful gestures deemed appropriate in those contexts. To resolve this puzzle, it is critical to closely examine the neurocognitive basis of group-based guilt and its relationship with personal guilt, a goal that self-reported measures alone cannot satisfactorily achieve. Here, we combined functional MRI with an interaction-based minimal group paradigm in which participants either directly caused harm to a group of victims (i.e., personal guilt), or observed in-group members cause harm to the victims (i.e., group-based guilt). In three experiments (N = 90), we demonstrated and replicated that the perceived responsibility one shared with in-group members in transgression predicted both behavioral and neural manifestations of group-based guilt. Multivariate pattern analysis (MVPA) of the functional MRI data showed that group-based guilt recruited patterns of neural responses in anterior middle cingulate cortex that resembled personal guilt. These results have broadened our understanding of how group membership is integrated into the neurocognitive processes underlying social emotions.
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53
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Yu H, Koban L, Chang LJ, Wagner U, Krishnan A, Vuilleumier P, Zhou X, Wager TD. A Generalizable Multivariate Brain Pattern for Interpersonal Guilt. Cereb Cortex 2020; 30:3558-3572. [PMID: 32083647 DOI: 10.1093/cercor/bhz326] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 11/26/2019] [Accepted: 11/29/2019] [Indexed: 12/25/2022] Open
Abstract
Feeling guilty when we have wronged another is a crucial aspect of prosociality, but its neurobiological bases are elusive. Although multivariate patterns of brain activity show promise for developing brain measures linked to specific emotions, it is less clear whether brain activity can be trained to detect more complex social emotional states such as guilt. Here, we identified a distributed guilt-related brain signature (GRBS) across two independent neuroimaging datasets that used interpersonal interactions to evoke guilt. This signature discriminated conditions associated with interpersonal guilt from closely matched control conditions in a cross-validated training sample (N = 24; Chinese population) and in an independent test sample (N = 19; Swiss population). However, it did not respond to observed or experienced pain, or recalled guilt. Moreover, the GRBS only exhibited weak spatial similarity with other brain signatures of social-affective processes, further indicating the specificity of the brain state it represents. These findings provide a step toward developing biological markers of social emotions, which could serve as important tools to investigate guilt-related brain processes in both healthy and clinical populations.
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Affiliation(s)
- Hongbo Yu
- School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China.,Institute of Cognitive Science, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology, Yale University, New Haven, CT 06520, USA.,Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106, USA
| | - Leonie Koban
- Institute of Cognitive Science, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA.,Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland.,Control-Interoception-Attention Team, Brain & Spine Institute, 47 bd de l'hôpital, 75013 Paris, France
| | - Luke J Chang
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA
| | - Ullrich Wagner
- Department of Psychology, University of Münster, 48149 Münster, Germany
| | - Anjali Krishnan
- Institute of Cognitive Science, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology, Brooklyn College of the City University of New York, New York, NY 11210, USA
| | - Patrik Vuilleumier
- Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland.,Laboratory for Behavioral Neurology and Imaging of Cognition, Department of Neuroscience, University Medical Center, University of Geneva, 1205 Geneva, Switzerland
| | - Xiaolin Zhou
- School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.,Institute of Psychological and Brain Sciences, Zhejiang Normal University, Zhejiang 321004, China.,Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai 200083, China
| | - Tor D Wager
- Institute of Cognitive Science, University of Colorado, Boulder, CO 80309, USA.,Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA.,Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA
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