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Inequality signals in dorsolateral prefrontal cortex inform social preference models

机译:背外侧前额叶皮层中的不平等信号告知社会偏好模型

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摘要

Humans typically display inequality aversion in social situations, which manifests itself as a preference for fairer distributions of resources. However, people differ in the degree to which they dislike being worse off [disadvantageous inequality (DI) aversion] or better off [advantageous inequality (AI) aversion] than others. Competing models explain such behavior by focusing on aversion to payoff differences, maximization of total payoff or reciprocity. Using functional near-infrared spectroscopy, we asked which of these theories could better explain dorsolateral prefrontal cortex (dlPFC) activity while participants accepted or punished fair vs unfair monetary transfers in an anonymous norm compliance task. We found that while all participants exhibited DI aversion, there were substantial differences in preferences for AI, which were strongly predicted by dlPFC activation. Model comparisons revealed that both punishment behavior and prefrontal activity were best explained by a model that allowed for AI seeking rather than imposing aversion. Moreover, enhancing this model by taking into account behavioral response times, as a proxy for choice difficulty, further improved model fits. Our data provide evidence that the dlPFC encodes subjective values of payoff inequality and that this representation is richer than envisaged by standard models of social preferences.
机译:人类通常会在社会环境中表现出不平等的厌恶情绪,这表明自己倾向于公平分配资源。但是,人们在不同程度上不喜欢比其他人更糟的情况(不利的不平等(DI)厌恶)或更好的情况(不利的不平等(AI)厌恶)。竞争模型通过关注对收益差异的厌恶,总收益或互惠性的最大化来解释这种行为。我们使用功能性近红外光谱仪询问了这些理论中的哪一个可以更好地解释背外侧前额叶皮层(dlPFC)的活动,而参与者在匿名规范合规性任务中接受或惩罚了公平与不公平的货币转移。我们发现,虽然所有参与者都表现出DI厌恶,但对AI的偏好存在实质性差异,而dlPFC激活强烈预测了AI的差异。模型比较表明,惩罚行为和前额活动都可以通过允许AI寻找而不是施加厌恶的模型来最好地解释。此外,通过考虑行为响应时间来增强该模型,以替代选择困难,从而进一步改进了模型拟合度。我们的数据提供了证据,证明dlPFC编码了回报不平等的主观值,并且这种表示比社会偏好的标准模型所设想的要丰富。

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