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多变量分析在价值和认知控制网络中区分跨期选择。

Multivariate analysis differentiates intertemporal choices in both value and cognitive control network.

作者信息

Ye Yuting, Wang Yanqing

机构信息

Institute of Psychology, School of Public Affairs, Xiamen University, Xiamen, China.

Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

出版信息

Front Neurosci. 2023 Feb 28;17:1037294. doi: 10.3389/fnins.2023.1037294. eCollection 2023.

Abstract

Choices between immediate smaller reward and long-term larger reward are referred to as intertemporal choice. Numerous functional magnetic resonance imaging (fMRI) studies have investigated the neural substrates of intertemporal choice via conventional univariate analytical approaches, revealing dissociable activations of decisions involving immediately available rewards and decisions involving delayed rewards in value network. With the help of multivariate analyses, which is more sensitive for evaluating information encoded in spatially distributed patterns, we showed that fMRI activity patterns represent viable signatures of intertemporal choice, as well as individual differences while controlling for age. Notably, in addition to value network, regions from cognitive control network play prominent roles in differentiating between different intertemporal choices as well as individuals with distinct discount rates. These findings provide clear evidence that substantiates the important role of value and cognitive control networks in the neural representation of one's intertemporal decisions.

摘要

在即时较小奖励和长期较大奖励之间做出选择被称为跨期选择。众多功能磁共振成像(fMRI)研究通过传统的单变量分析方法研究了跨期选择的神经基础,揭示了价值网络中涉及即时可得奖励的决策和涉及延迟奖励的决策的可分离激活。借助多变量分析,其在评估空间分布模式中编码的信息方面更敏感,我们表明fMRI活动模式代表了跨期选择的可行特征,以及在控制年龄时的个体差异。值得注意的是,除了价值网络外,认知控制网络的区域在区分不同的跨期选择以及具有不同贴现率的个体方面也发挥着重要作用。这些发现提供了明确的证据,证实了价值和认知控制网络在个体跨期决策的神经表征中的重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6751/10011120/136468de2f60/fnins-17-1037294-g001.jpg

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