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纹状体对不确定性决策中概率和幅度信息的拓扑结构。

Striatal topography of probability and magnitude information for decisions under uncertainty.

机构信息

Economics Department, Emory University, Atlanta, GA 30322, United States.

出版信息

Neuroimage. 2012 Feb 15;59(4):3166-72. doi: 10.1016/j.neuroimage.2011.11.008. Epub 2011 Nov 12.

Abstract

Most decisions involve some element of uncertainty. When the outcomes of these decisions have different likelihoods of occurrence, the decision-maker must consider both the magnitude of each outcome and the probability of its occurrence, but how do individual decision makers combine the two dimensions of magnitude and probability? Here, we approach the problem by separating in time the presentation of magnitude and probability information, and focus the analysis of fMRI activations on the first piece of information only. Thus, we are able to identify distinct neural circuits for the two dimensions without the confounding effect of divided attention or the cognitive operation of combining them. We find that magnitude information correlates with the size of the response of the ventral striatum while probability information correlates with the response in the dorsal striatum. The relative responsiveness of these two striatal regions correlates with the behavioral tendency to weight one more than the other. The results are consistent with a second-order process of information aggregation in which individuals make separate judgments for magnitude and probability and then integrate those judgments.

摘要

大多数决策都涉及到一定程度的不确定性。当这些决策的结果发生的可能性不同时,决策者必须考虑每个结果的大小和其发生的概率,但个体决策者如何将这两个维度的大小和概率结合起来呢?在这里,我们通过在时间上分离呈现的大小和概率信息来解决这个问题,并将 fMRI 激活的分析仅集中在第一部分信息上。因此,我们能够识别出这两个维度的不同神经回路,而不会受到注意力分散或合并它们的认知操作的干扰。我们发现,大小信息与腹侧纹状体的反应大小相关,而概率信息与背侧纹状体的反应相关。这两个纹状体区域的相对反应性与个体倾向于更重视一个而不是另一个的行为趋势相关。这些结果与信息聚合的二阶过程一致,其中个体对大小和概率进行单独判断,然后整合这些判断。

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