Distributed attribute representation in the superior parietal lobe during probabilistic decision‐making

作者：Pinchun Wang, Shuning Chen, Kun Deng, Bin Zhang, Hohjin Im, Junjiao Feng, Liqing Liu, Qinghao Yang, Guang Zhao, Qinghua He, Chunhui Chen, He Wang, Qiang Wang · 发表于：Human Brain Mapping · 年份：2023 · DOI：10.1002/hbm.26470 · 被引用次数：22 · 研究领域：Neural and Behavioral Psychology Studies、Decision-Making and Behavioral Economics、Neural dynamics and brain function

Abstract Several studies have examined the neural substrates of probabilistic decision‐making, but few have systematically investigated the neural representations of the two objective attributes of probabilistic rewards, that is, the reward amount and the probability. Specifically, whether there are common or distinct neural activity patterns to represent the objective attributes and their association with the neural representation of the subjective valuation remains largely underexplored. We conducted two studies ( n Study1 = 34, n Study2 = 41) to uncover distributed neural representations of the objective attributes and subjective value as well as their association with individual probability discounting rates. The amount and probability were independently manipulated to better capture brain signals sensitive to these two attributes and were presented simultaneously in Study 1 and successively in Study 2. Both univariate and multivariate pattern analyses showed that the brain activities in the superior parietal lobule (SPL), including the postcentral gyrus, were modulated by the amount of rewards and probability in both studies. Further, representational similarity analysis revealed a similar neural representation between these two objective attributes and between the attribute and valuation. Moreover, the SPL tracked the subjective value integrated by the hyperbolic function. Probability‐related brain activations in the inferior parietal lobule were associated with the var...