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.
Highlights
Financial problems, while often relegated to individual concern, may manifest as large-scale crises when left to further develop adversely
The present study examined the neural substrates of greed personality trait (GPT) via univariate and multivariate analysis approaches
multivariate pattern analysis (MVPA) results revealed that the GMVs in the prefrontal and visual system could successfully predict individuals’ variability in GPT
Summary
While often relegated to individual concern, may manifest as large-scale crises when left to further develop adversely. The traditional viewpoint proposes that the causes for these crises largely lay in structural problems, such as the rise of national debts or failures in financial regulation. Contemporary theories highlight some underlying psychological components, such as greed personality trait (GPT), that likewise play a critical role in financial behaviors (Seuntjens et al 2016). Such hypothesis has been demonstrated on adolescent financial behavior that dispositional greed was associated with them having more income, spending more, saving less often, and having debt more often (Seuntjens et al 2016). The double-edged nature of greed has notably been gaining increased concerns among scholars in the scientific community
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.