Département de Physiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada
Département de Physiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada.
eNeuro. 2021 Aug 5;8(4). doi: 10.1523/ENEURO.0247-21.2021. Print 2021 Jul-Aug.
It is widely assumed that we select actions we value the most. While the influence of rewards on decision-making has been extensively studied, evidence regarding the influence of motor costs is scarce. Specifically, how and when motor costs are integrated in the decision process is unclear. Twenty-two right-handed human participants performed a reward-based target selection task by reaching with their right arm toward one of two visual targets. Targets were positioned in different directions according to biomechanical preference, such that one target was systematically associated with a lower motor cost than the other. Only one of the two targets was rewarded, either in a congruent or incongruent manner with respect to the associated motor cost. A timed-response paradigm was used to manipulate participants' reaction times (RT). Results showed that when the rewarded target carried the highest motor cost, movements produced at short RT (<350 ms) were deviated toward the other (i.e., non-rewarded, low-cost (LC) target). In this context participants needed an additional 150-ms delay to reach the same percentage of rewarded trials as when the LC target was rewarded. Crucially, motor costs affected the total earnings of participants. These results demonstrate a robust interference of motor costs in a simple reward-based decision-making task. They point to the rapid and automatic integration of motor costs at an early stage of processing, potentially through the direct modulation of competing action representations in parieto-frontal regions. The progressive overcoming of this bias with increasing RT is likely achieved through top-down signaling pertaining to expected rewards.
人们普遍认为,我们会选择自己最看重的行动。虽然已经广泛研究了奖励对决策的影响,但关于运动成本影响的证据却很少。具体来说,运动成本是如何以及何时被整合到决策过程中的还不清楚。22 名右利手的人类参与者通过用右臂伸向两个视觉目标中的一个来执行基于奖励的目标选择任务。根据生物力学偏好,目标被定位在不同的方向,使得一个目标与另一个目标相比系统地具有较低的运动成本。只有两个目标中的一个被奖励,奖励方式与相关的运动成本要么一致,要么不一致。使用定时反应范式来操纵参与者的反应时间 (RT)。结果表明,当奖励目标的运动成本最高时,在 RT(<350ms)较短的情况下产生的运动向另一个(即未奖励、低成本(LC)目标)偏移。在这种情况下,参与者需要额外的 150ms 延迟才能达到与奖励 LC 目标相同的奖励试验百分比。至关重要的是,运动成本影响了参与者的总收益。这些结果证明了运动成本在简单的基于奖励的决策任务中存在强大的干扰。它们表明运动成本在处理的早期阶段被快速且自动地整合,这可能是通过顶叶-额叶区域中竞争动作表示的直接调制来实现的。随着 RT 的增加,这种偏差逐渐被克服,这可能是通过与预期奖励相关的自上而下的信号实现的。