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Neuroanatomical and functional substrates of the greed personality trait.
Wang, Qiang; Wei, Shiyu; Im, Hohjin; Zhang, Manman; Wang, Pinchun; Zhu, Yuxuan; Wang, Yajie; Bai, Xuejun.
Afiliação
  • Wang Q; Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
  • Wei S; Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
  • Im H; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China.
  • Zhang M; Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
  • Wang P; Department of Psychological Science, University of California, Irvine, CA, 92697-7085, USA.
  • Zhu Y; Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
  • Wang Y; Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
  • Bai X; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin, 300387, China.
Brain Struct Funct ; 226(4): 1269-1280, 2021 May.
Article em En | MEDLINE | ID: mdl-33683479
ABSTRACT
Greedy individuals often exhibit more impulsive decision-making and short-sighted behaviors. It has been assumed that altered reward circuitry and prospection network is associated with greed personality trait (GPT). In this study, we first explored the morphological characteristics (i.e., gray matter volume; GMV) of GPT combined with univariate and multivariate pattern analysis (MVPA) approaches. Second, we adopted a revised version of inter-temporal choice task and independently manipulated the amount and delay time of future rewards. Using brain-imaging design, reward- and prospection-related brain activations were assessed and their associations with GPT were further examined. The MVPA results showed that GPT was associated with the GMVs in the right lateral frontal pole cortex, left ventromedial prefrontal cortex, right lateral occipital cortex, and right occipital pole. Additionally, we observed that the amount-relevant brain activations (responding to reward circuitry) in the lateral orbitofrontal cortex were negatively associated with individual's variability in GPT scores, whereas the delay time-relevant brain activations (responding to prospection network system) in the dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, superior parietal lobule, and anterior cingulate cortex were positively associated with individual's variability in GPT scores. These findings not only provide novel insights into the neuroanatomical substrates underlying the human dispositional greed, but also suggest the critical roles of reward and prospection processing on the greed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Personalidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brain Struct Funct Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Personalidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brain Struct Funct Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China