Microstructural and functional substrates underlying dispositional greed and its link with trait but not state impulsivity.

Neuroimage

Faculty of Psychology, Tianjin Normal University, Tianjin 300387, PR China; Huzhou Key Laboratory of Brain Science and Child Learning, Huzhou University, Huzhou 300387, PR China; Institute of Mathematics and Interdisciplinary Sciences, Tianjin Normal University, Tianjin 300387, PR China. Electronic address:

Published: October 2024

AI Article Synopsis

  • Researchers studied how personality traits, especially greed, relate to impulsivity and how they connect to how people think about the future.
  • They used surveys and brain scanning techniques to look at people's brain activity and structure while they were making decisions.
  • The results showed that greed can influence impulsive behavior and that specific brain areas react differently depending on someone's level of greed and how they view time.

Article Abstract

The interplay between personality traits and impulsivity has long been a central theme in psychology and psychiatry. However, the potential association between Greed Personality Traits (GPT) and impulsivity, encompassing both trait and state impulsivity and future time perspective, remains largely unexplored. To address these issues, we employed questionnaires and an inter-temporal choice task to estimate corresponding trait/state impulsivity and collected multi-modal neuroimaging data (resting-state functional imaging: n = 430; diffusion-weighted imaging: n = 426; task-related functional imaging: n = 53) to investigate the underlying microstructural and functional substrates. Behavioral analyses revealed that GPT mediated the association between time perspective (e.g., present fatalism) and trait impulsivity (e.g., motor impulsivity). Functional imaging analyses further identified that brain activation strengths and patterns related to delay length, particularly in the dorsomedial prefrontal cortex, superior parietal lobule, and cerebellum, were associated with GPT. Moreover, individuals with similar levels of greed exhibited analogous spontaneous brain activity patterns, predominantly in the Default Mode Network (DMN), Fronto-Parietal Network (FPN), and Visual Network (VIS). Diffusion imaging analysis observed specific microstructural characteristics in the spinocerebellar/pontocerebellar fasciculus, internal/external capsule, and corona radiata that support the formation of GPT. Furthermore, the corresponding neural activation pattern, spontaneous neural activity pattern, and analogous functional couplings among the aforementioned brain regions mediated the relationships between time perspective and GPT and between GPT and motor impulsivity. These findings provide novel insights into the possible pathway such as time perspective → dispositional greed → impulsivity and uncover their underlying microstructural and functional substrates.

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Source
http://dx.doi.org/10.1016/j.neuroimage.2024.120856DOI Listing

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