Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, 300387, China.
Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Brain Struct Funct. 2021 May;226(4):1269-1280. doi: 10.1007/s00429-021-02240-9. Epub 2021 Mar 8.
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.
贪婪的个体通常表现出更多的冲动决策和短视行为。人们假设,改变的奖励回路和前瞻性网络与贪婪人格特质(GPT)有关。在这项研究中,我们首先探索了 GPT 的形态特征(即灰质体积;GMV),结合了单变量和多变量模式分析(MVPA)方法。其次,我们采用了一种经过修订的时间间隔选择任务,并独立操纵未来奖励的数量和延迟时间。使用脑成像设计,评估了与奖励和前瞻性相关的大脑激活,并进一步研究了它们与 GPT 的关联。MVPA 的结果表明,GPT 与右侧额极外侧额叶皮层、左侧腹内侧前额叶皮层、右侧外侧枕叶皮层和右侧枕极的 GMV 有关。此外,我们观察到外侧眶额皮层中与数量相关的大脑激活(对应于奖励回路)与个体 GPT 得分的变异性呈负相关,而背外侧前额叶皮层、背内侧前额叶皮层、顶下小叶和前扣带皮层中与延迟时间相关的大脑激活(对应于前瞻性网络系统)与个体 GPT 得分的变异性呈正相关。这些发现不仅为人类内在贪婪的神经解剖学基础提供了新的见解,还表明奖励和前瞻性处理在贪婪中的关键作用。