前补充运动区增强了时际选择中的奖励敏感性。

IF 4.7 2区 医学 Q1 NEUROIMAGING
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引用次数: 0

摘要

以往对跨时空决策的因果神经机制的研究主要集中在作为认知控制神经基底的背外侧前额叶皮层。然而,人们对前额叶控制网络的其他部分(包括前辅助运动区(pre-SMA)和后顶叶皮层(PPC))对延迟满足的因果贡献知之甚少。之前有相互矛盾的证据表明,前SMA和后顶叶皮层要么与证据积累过程、选择偏差有关,要么与反应谨慎有关。为了区分这些选择,我们将决策的漂移扩散模型与在线经颅磁刺激(TMS)结合起来,在时际决策任务中对前SMA和后PPC进行刺激。虽然我们没有观察到 PPC TMS 的强大效应,但对前 SMA 活动的扰动降低了对较大奖励的偏好,而不是对较小奖励的偏好。决策的漂移扩散模型表明,在证据积累过程中,前SMA会增加分配给奖励大小的权重,而不会影响选择偏差或反应谨慎性。综上所述,目前的研究结果揭示了前SMA在基于价值的决策制定中的计算作用,表明前SMA通过加强对奖励幅度的敏感性来促进对较大的、代价高昂的奖励的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-supplementary motor area strengthens reward sensitivity in intertemporal choice

Previous investigations on the causal neural mechanisms underlying intertemporal decision making focused on the dorsolateral prefrontal cortex as neural substrate of cognitive control. However, little is known, about the causal contributions of further parts of the frontoparietal control network to delaying gratification, including the pre-supplementary motor area (pre-SMA) and posterior parietal cortex (PPC). Conflicting previous evidence related pre-SMA and PPC either to evidence accumulation processes, choice biases, or response caution. To disentangle between these alternatives, we combined drift diffusion models of decision making with online transcranial magnetic stimulation (TMS) over pre-SMA and PPC during an intertemporal decision task. While we observed no robust effects of PPC TMS, perturbation of pre-SMA activity reduced preferences for larger over smaller rewards. A drift diffusion model of decision making suggests that pre-SMA increases the weight assigned to reward magnitudes during the evidence accumulation process without affecting choice biases or response caution. Taken together, the current findings reveal the computational role of the pre-SMA in value-based decision making, showing that pre-SMA promotes choices of larger, costly rewards by strengthening the sensitivity to reward magnitudes.

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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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