Me first: Neural representations of fairness during three-party interactions.
Me first: Neural representations of fairness during three-party interactions.
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DOI：
10.1016/j.neuropsychologia.2020.107576
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发表时间：
2020-10
期刊：
影响因子：
2.6
通讯作者：
Decety J
中科院分区：
文献类型：
--
作者：
Yoder KJ;Decety J
人类道德的一个标志是深刻的公平感。人们的动机既有自身利益，也有对他人福祉的关心。然而，目前尚不清楚这些动机是否依赖于类似的神经计算，以及当自我公平动机和他人公平动机竞争时，这种计算对社会决策的影响程度。在这项研究中，两组参与者在三方最后通牒游戏中扮演响应者的角色，同时接受功能磁共振扫描(N=32)或接受高密度脑电检查(N=40)。在这两项研究中，当参与者自己收到公平的报价时，他们接受了更多的其他公平报价。虽然从170毫秒的头皮电压和右侧脑岛和前额叶背外侧皮质的血流动力学反应中可靠地解码了自我公平，但在对自我和对他人公平的神经表征之间并没有重叠。在三方环境下做出公平决策时，似乎涉及到不同的神经计算和机制，这些环境植根于以自我为中心的、自私的偏见。
One hallmark of human morality is a deep sense of fairness. People are motivated by both self-interest and a concern for the welfare of others. However, it remains unclear whether these motivations rely on similar neural computations, and the extent to which such computations influence social decision-making when self-fairness and other-fairness motivations compete. In this study, two groups of participants engaged in the role of responder in a three-party Ultimatum Game while being scanned with functional MRI (N=32) or while undergoing high-density electroencephalography (N=40). In both studies, participants accepted more OtherFair offers when they themselves received fair offers. Though SelfFairness was reliably decoded from scalp voltages by 170 ms, and from hemodynamic responses in right insula and dorsolateral prefrontal cortex, there was no overlap between neural representations of fairness for self and for other. Distinct neural computations and mechanisms seem to be involved when making decisions about fairness in three-party contexts, which are anchored in an egocentric, self-serving bias.
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