Dissociable effects of perceived control on reward-related neural dynamics under risk and ambiguity

IF 5.3 2区医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2025-03-01 Epub Date: 2025-01-29 DOI:10.1016/j.neuroimage.2025.121067

Shiting Chen , Menglin Wu , Jianbiao Zhao , Guanglong Liu , Wendeng Yang , Ya Zheng

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Abstract

Perceived control plays a crucial role in risk-taking behavior, but its neural effect on reward dynamics in risky and ambiguous decision making remains unclear. Here, we addressed this issue by measuring participants’ (N = 40) EEG activity while they were performing a wheel-of-fortune task. Participants either made choices themselves (a high control condition) or followed the computer's choice (a low control condition) under risky or ambiguous decision contexts. Behavioral and rating data showed a stronger control effect in the risky compared to the ambiguous decision context. In parallel, we found an effect of perceived control on choice evaluation (indexed by the cue-P3) in the risky but not ambiguous context. However, the control effect was more pronounced during feedback anticipation (indexed by the stimulus-preceding negativity) and outcome appraisal (indexed by delta oscillation) in the ambiguous context compared to the risky context. Together, our findings suggest that experiencing control alters reward dynamics in uncertain decision making, with dissociable effects between risk and ambiguity.

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风险和模糊条件下感知控制对奖励相关神经动力学的可解离效应。

感知控制在冒险行为中起着至关重要的作用，但其在风险和模糊决策中对奖励动力学的神经效应尚不清楚。在这里，我们通过测量参与者（N = 40）在执行幸运轮任务时的脑电图活动来解决这个问题。在高风险或模棱两可的决策环境下，参与者要么自己做出选择（高控制条件），要么遵循计算机的选择（低控制条件）。行为和评分数据显示，与模糊决策环境相比，风险决策环境具有更强的控制效应。同时，我们发现在有风险但不模棱两可的情况下，感知控制对选择评估（由线索p3索引）的影响。然而，与风险情境相比，模棱两可情境下的反馈预期（以刺激前的负性为指标）和结果评估（以δ振荡为指标）的控制效应更为明显。总之，我们的研究结果表明，经历控制会改变不确定决策中的奖励动态，在风险和模糊性之间存在可分离的效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.