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Feng C, Zhu Z, Cui Z, Ushakov V, Dreher JC, Luo W, Gu R, Wu X, Krueger F. Prediction of trust propensity from intrinsic brain morphology and functional connectome. Hum Brain Mapp 2020; 42:175-191. [PMID: 33001541 PMCID: PMC7721234 DOI: 10.1002/hbm.25215] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/31/2020] [Accepted: 09/09/2020] [Indexed: 01/08/2023] Open
Abstract
Trust forms the basis of virtually all interpersonal relationships. Although significant individual differences characterize trust, the driving neuropsychological signatures behind its heterogeneity remain obscure. Here, we applied a prediction framework in two independent samples of healthy participants to examine the relationship between trust propensity and multimodal brain measures. Our multivariate prediction analyses revealed that trust propensity was predicted by gray matter volume and node strength across multiple regions. The gray matter volume of identified regions further enabled the classification of individuals from an independent sample with the propensity to trust or distrust. Our modular and functional decoding analyses showed that the contributing regions were part of three large‐scale networks implicated in calculus‐based trust strategy, cost–benefit calculation, and trustworthiness inference. These findings do not only deepen our neuropsychological understanding of individual differences in trust propensity, but also provide potential biomarkers in predicting trust impairment in neuropsychiatric disorders.
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Affiliation(s)
- Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.,School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Zhiyuan Zhu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China.,Engineering Research Center of Intelligent Technology and Educational Application of Ministry of Education, Beijing Normal University, Beijing, China
| | - Zaixu Cui
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vadim Ushakov
- National Research Center, Kurchatov Institute, Moscow, Russia.,National Research Nuclear University MEPhI, Moscow Engineering Physics Institute, Moscow, Russia
| | - Jean-Claude Dreher
- Neuroeconomics, Reward and Decision Making Laboratory, Institut des Sciences Cognitives Marc Jeannerod, CNRS, Bron, France
| | - Wenbo Luo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Ruolei Gu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xia Wu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China.,Engineering Research Center of Intelligent Technology and Educational Application of Ministry of Education, Beijing Normal University, Beijing, China
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA.,Department of Psychology, George Mason University, Fairfax, Virginia, USA
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Meier-Credner A, Muschalla B. Kann Ungerechtigkeit bei der Arbeit krank machen? Grundannahmen, subjektive Wahrnehmung und Person-Job-Fit. VERHALTENSTHERAPIE 2019. [DOI: 10.1159/000502920] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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4
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Patil I, Zanon M, Novembre G, Zangrando N, Chittaro L, Silani G. Neuroanatomical basis of concern-based altruism in virtual environment. Neuropsychologia 2018; 116:34-43. [DOI: 10.1016/j.neuropsychologia.2017.02.015] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 02/09/2017] [Accepted: 02/21/2017] [Indexed: 01/18/2023]
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5
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Li H, Chen Q, Lu J, Qiu J. Brain Structural Bases of Tendency to Forgive: evidence from a young adults sample using voxel-based morphometry. Sci Rep 2017; 7:16856. [PMID: 29203803 PMCID: PMC5715096 DOI: 10.1038/s41598-017-16868-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 11/18/2017] [Indexed: 01/01/2023] Open
Abstract
Tendency to forgive refers to one's global dispositional level of forgiveness across situations and relationships. Brain imaging studies examined activation patterns underlying forgiving response, yet focal differences in brain structures related to tendency to forgive have never been investigated. In this study, voxel-based morphometry was used to investigate relations between gray matter/white matter volume (GMV/WMV) and individual differences in tendency to forgive in a large young sample. Participants were 199 young students (60 men) who completed the tendency to forgive scale (TTF) and underwent an anatomical magnetic resonance imaging scan. Results showed that higher TTF scores were associated with larger GMV in the regions of dorsolateral prefrontal cortex, and smaller GMV in the regions of the right insular cortex and inferior frontal gyrus (IFG). Moreover, higher TTF scores were also related to smaller WMV in the regions of the left IFG. Together, these findings suggest structural variations for individual differences in the tendency to forgive, distributed across different brain regions associated with empathic response and cognitive control.
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Affiliation(s)
- Haijiang Li
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Jiamei Lu
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
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Patil I, Calò M, Fornasier F, Young L, Silani G. Neuroanatomical correlates of forgiving unintentional harms. Sci Rep 2017; 7:45967. [PMID: 28382935 PMCID: PMC5382676 DOI: 10.1038/srep45967] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 03/10/2017] [Indexed: 12/15/2022] Open
Abstract
Mature moral judgments rely on the consideration of a perpetrator’s mental state as well as harmfulness of the outcomes produced. Prior work has focused primarily on the functional correlates of how intent information is neurally represented for moral judgments, but few studies have investigated whether individual differences in neuroanatomy can also explain variation in moral judgments. In the current study, we conducted voxel-based morphometry analyses to address this question. We found that local grey matter volume in the left anterior superior temporal sulcus, a region in the functionally defined theory of mind or mentalizing network, was associated with the degree to which participants relied on information about innocent intentions to forgive accidental harms. Our findings provide further support for the key role of mentalizing in the forgiveness of accidental harms and contribute preliminary evidence for the neuroanatomical basis of individual differences in moral judgments.
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Affiliation(s)
- Indrajeet Patil
- Scuola Internazionale Superiore di Studi Avanzati, Neuroscience Sector, Trieste, Italy.,Department of Psychology, Harvard University, Cambridge, MA, USA
| | | | | | - Liane Young
- Department of Psychology, Boston College, Boston, USA
| | - Giorgia Silani
- Department of Applied Psychology: Health, Development, Enhancement and Intervention, University of Vienna, Austria
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