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dc.contributor.authorWei, S.
dc.contributor.authorJin, W.
dc.contributor.authorZhu, W.
dc.contributor.authorChen, S.
dc.contributor.authorFeng, J.
dc.contributor.authorWang, P.
dc.contributor.authorIm, H.
dc.contributor.authorDeng, K.
dc.contributor.authorZhang, B.
dc.contributor.authorZhang, M.
dc.contributor.authorYang, S.
dc.contributor.authorPeng, M.
dc.contributor.authorWang, Q.
dc.date.accessioned2024-08-06T03:49:43Z
dc.date.available2024-08-06T03:49:43Z
dc.date.issued2023-07-20
dc.identifier.citationShiyu Wei, Weipeng Jin, Wenwei Zhu, Shuning Chen, Jie Feng, Pinchun Wang, Hohjin Im, Kun Deng, Bin Zhang, Manman Zhang, Shaofeng Yang, Maomiao Peng, Qiang Wang, Greed personality trait links to negative psychopathology and underlying neural substrates, Social Cognitive and Affective Neuroscience, Volume 18, Issue 1, 2023, nsac046, https://doi.org/10.1093/scan/nsac046
dc.identifier.issn1749-5016
dc.identifier.pmid35856605
dc.identifier.doi10.1093/scan/nsac046
dc.identifier.urihttp://hdl.handle.net/10150/673833
dc.description.abstractGreed personality trait (GPT), characterized by the desire to acquire more and the dissatisfaction of never having enough, has been hypothesized to link with negative emotion/affect characteristics and aggressive behaviors. To describe its emotion-related features, we utilized a series of scales to measure corresponding emotion/affect and aggression (n = 411) and collected their neuroimaging data (n = 330) to explore underlying morphological substrates. Correlational analyses revealed that greedy individuals show more negative symptoms (e.g. depression, loss of interest, negative affect), lower psychological well-being and more aggression. Mediation analyses further demonstrated that negative symptoms and psychological well-being mediated greedy individuals’ aggression. Moreover, exploratory factor analysis extracted factor scores across three factors (negative psychopathology, happiness, and motivation) from the measures scales. Negative psychopathology and happiness remained robust mediators. Importantly, these findings were replicated in an independent sample (n = 68). Voxel-based morphometry analysis also revealed that gray matter volumes (GMVs) in the prefrontal-parietal-occipital system were associated with negative psychopathology and happiness, and GMVs in the frontal pole and middle frontal cortex mediated the relationships between GPT and aggressions. These findings provide novel insights into the negative characteristics of dispositional greed, and suggest their mediating roles on greedy individuals’ aggression and underlying neuroanatomical substrates. © The Author(s) 2023. Published by Oxford University Press.
dc.language.isoen
dc.publisherOxford University Press
dc.rights© The Author(s) 2023. Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence.
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectaggression
dc.subjectgreed personality trait
dc.subjecthappiness
dc.subjectnegative psychopathology
dc.subjectvoxel-based morphometry
dc.titleGreed personality trait links to negative psychopathology and underlying neural substrates
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Psychology, University of Arizona
dc.identifier.journalSocial Cognitive and Affective Neuroscience
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleSocial Cognitive and Affective Neuroscience
refterms.dateFOA2024-08-06T03:49:43Z


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© The Author(s) 2023. Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence.
Except where otherwise noted, this item's license is described as © The Author(s) 2023. Published by Oxford University Press.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence.