Great expectations: neural computations underlying the use of social norms in decision-making
Great expectations: neural computations underlying the use of social norms in decision-making
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DOI：
10.1093/scan/nsr094
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发表时间：
2013-03-01
影响因子：
4.2
通讯作者：
Sanfey, Alan G.
中科院分区：
文献类型：
--
作者：
Chang, Luke J.;Sanfey, Alan G.
社会期望在日常决策中起着至关重要的作用。然而，它们在决策过程中确切的神经计算作用仍不清楚。在这里，我们采用决策神经科学框架，结合心理学、经济学和神经科学的方法和理论，概述了一个新颖的、基于预期的社会偏好计算模型。结果表明，该模型在解释社会互动讨价还价任务中的决策行为时优于标准的不公平厌恶模型。这一点得到了fMRI研究结果的支持，该结果表明，对违反社会期望的跟踪是由前扣带回皮质处理的，将之前对该区域的计算概念化扩展到了社会领域。这项研究证明了这种跨学科方法在更好地刻画社会互动决策所依据的心理过程方面的有效性。
Social expectations play a critical role in everyday decision-making. However, their precise neuro-computational role in the decision process remains unknown. Here we adopt a decision neuroscience framework by combining methods and theories from psychology, economics and neuroscience to outline a novel, expectation-based, computational model of social preferences. Results demonstrate that this model outperforms the standard inequity-aversion model in explaining decision behavior in a social interactive bargaining task. This is supported by fMRI findings showing that the tracking of social expectation violations is processed by anterior cingulate cortex, extending previous computational conceptualizations of this region to the social domain. This study demonstrates the usefulness of this interdisciplinary approach in better characterizing the psychological processes that underlie social interactive decision-making.