Effort discounts reward-based control allocation: A neurodynamic perspective.

Psychophysiology Pub Date : 2024-02-01 Epub Date: 2023-10-03 DOI:10.1111/psyp.14451
Ya Zheng, Mang Zhang, Menglin Wu
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Abstract

The amount of cognitive and neural resources allocated to a task is largely determined by the reward we can expect. However, it remains under-appreciated how this reward-expectation-based control allocation is modulated by effort expenditure. The present event-related potential study investigated this issue through the lens of neural dynamics. Thirty-four participants completed an effort-based monetary incentive delay task while their EEG was recorded. Effort demand was manipulated by adding no (low effort) or much (high effort) noise to the target. Behaviorally, participants exhibited reward-related speeding regardless of effort expenditure, as revealed by faster RTs for reward than neutral trials. Our ERP results demonstrated a widespread facilitatory influence of reward expectation on neural dynamics extending from cue evaluation as indexed by the cue-P3, to control preparation as indexed by the contingent negative variation (CNV), and finally to control engagement as indexed by the target-P3. Critically, the neural facilitation was discounted by effort expenditure during both the control-preparation and control-engagement stages instead of the cue-evaluation stage. Overall, this study provides neurodynamic evidence that control allocation is determined by reward and effort via a cost-benefit analysis.

基于努力折扣的控制分配:一个神经动力学的视角。
分配给一项任务的认知和神经资源的数量在很大程度上取决于我们所能期望的回报。然而,这种基于回报期望的控制分配是如何通过努力支出来调节的,这一点仍然没有得到充分的认识。目前的事件相关电位研究通过神经动力学的视角来研究这个问题。34名参与者在记录脑电图的同时完成了一项基于努力的金钱激励延迟任务。通过不向目标添加(低努力)或添加大量(高努力)噪声来操纵努力需求。在行为上,参与者表现出与奖励相关的超速,无论努力支出如何,正如奖励的RT比中性试验更快所揭示的那样。我们的ERP结果证明了奖励期望对神经动力学的广泛促进作用,从线索P3索引的线索评估,到偶然负变异(CNV)索引的控制准备,最后到目标P3索引的控制参与。至关重要的是,在控制准备和控制参与阶段,而不是线索评估阶段,神经促进作用都被努力支出所忽视。总的来说,这项研究通过成本效益分析提供了神经动力学证据,证明控制分配是由奖励和努力决定的。
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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