关键词: Computational model Fairness Multivoxel pattern analysis Three-person ultimatum game fMRI

来  源:   DOI:10.1007/s12264-024-01245-8

Abstract:
Fairness is a fundamental value in human societies, with individuals concerned about unfairness both to themselves and to others. Nevertheless, an enduring debate focuses on whether self-unfairness and other-unfairness elicit shared or distinct neuropsychological processes. To address this, we combined a three-person ultimatum game with computational modeling and advanced neuroimaging analysis techniques to unravel the behavioral, cognitive, and neural patterns underlying unfairness to self and others. Our behavioral and computational results reveal a heightened concern among participants for self-unfairness over other-unfairness. Moreover, self-unfairness consistently activates brain regions such as the anterior insula, dorsal anterior cingulate cortex, and dorsolateral prefrontal cortex, spanning various spatial scales that encompass univariate activation, local multivariate patterns, and whole-brain multivariate patterns. These regions are well-established in their association with emotional and cognitive processes relevant to fairness-based decision-making. Conversely, other-unfairness primarily engages the middle occipital gyrus. Collectively, our findings robustly support distinct neurocomputational signatures between self-unfairness and other-unfairness.
摘要:
公平是人类社会的基本价值,个人担心对自己和他人的不公平。然而,一场持久的辩论集中在自我不公平和他人不公平是否会引起共同或不同的神经心理过程。为了解决这个问题,我们将三人最后通牒游戏与计算建模和先进的神经影像分析技术相结合,认知,以及对自我和他人不公平的神经模式。我们的行为和计算结果表明,参与者对自我不公平的关注程度高于其他不公平。此外,自我不公平持续激活大脑区域,如前脑岛,背侧前扣带皮质,和背外侧前额叶皮层,跨越包含单变量激活的各种空间尺度,局部多元模式,和全脑多变量模式。这些区域在与基于公平的决策相关的情感和认知过程中建立了良好的联系。相反,其他不公平主要涉及枕中回。总的来说,我们的研究结果有力地支持了自我不公平和他人不公平之间不同的神经计算特征.
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