Hill Christopher M, Sebastião Emerson, Barzi Leo, Wilson Matt, Wood Tyler
Department of Kinesiology and Physical Education, Northern Illinois University, Dekalb, IL, United States.
School of Kinesiology, Louisiana State University, Baton Rouge, LA, United States.
Front Behav Neurosci. 2024 Apr 24;18:1388495. doi: 10.3389/fnbeh.2024.1388495. eCollection 2024.
Locomotor adaptation is a motor learning process used to alter spatiotemporal elements of walking that are driven by prediction errors, a discrepancy between the expected and actual outcomes of our actions. Sensory and reward prediction errors are two different types of prediction errors that can facilitate locomotor adaptation. Reward and punishment feedback generate reward prediction errors but have demonstrated mixed effects on upper extremity motor learning, with punishment enhancing adaptation, and reward supporting motor memory. However, an in-depth behavioral analysis of these distinct forms of feedback is sparse in locomotor tasks.
For this study, three groups of healthy young adults were divided into distinct feedback groups [Supervised, Reward, Punishment] and performed a novel locomotor adaptation task where each participant adapted their knee flexion to 30 degrees greater than baseline, guided by visual supervised or reinforcement feedback (Adaptation). Participants were then asked to recall the new walking pattern without feedback (Retention) and after a washout period with feedback restored (Savings).
We found that all groups learned the adaptation task with external feedback. However, contrary to our initial hypothesis, enhancing sensory feedback with a visual representation of the knee angle (Supervised) accelerated the rate of learning and short-term retention in comparison to monetary reinforcement feedback. Reward and Punishment displayed similar rates of adaptation, short-term retention, and savings, suggesting both types of reinforcement feedback work similarly in locomotor adaptation. Moreover, all feedback enhanced the aftereffect of locomotor task indicating changes to implicit learning.
These results demonstrate the multi-faceted nature of reinforcement feedback on locomotor adaptation and demonstrate the possible different neural substrates that underly reward and sensory prediction errors during different motor tasks.
运动适应是一种运动学习过程,用于改变由预测误差驱动的步行时空要素,预测误差即我们行动的预期结果与实际结果之间的差异。感觉预测误差和奖励预测误差是两种不同类型的预测误差,它们都能促进运动适应。奖励和惩罚反馈会产生奖励预测误差,但在对上肢运动学习的影响上表现不一,惩罚能增强适应性,而奖励则有助于运动记忆。然而,在运动任务中,对这些不同形式反馈的深入行为分析却较为匮乏。
在本研究中,三组健康的年轻成年人被分为不同的反馈组[监督组、奖励组、惩罚组],并执行一项新颖的运动适应任务,即每位参与者在视觉监督或强化反馈的引导下,将其膝盖弯曲度调整至比基线大30度(适应阶段)。然后要求参与者在无反馈的情况下回忆新的行走模式(保持阶段),并在经过洗脱期后恢复反馈(节省阶段)。
我们发现,所有组在外部反馈的情况下都学会了适应任务。然而,与我们最初的假设相反,与金钱强化反馈相比,通过膝盖角度的视觉呈现来增强感觉反馈(监督组)加快了学习速度和短期保持能力。奖励组和惩罚组表现出相似的适应速度、短期保持能力和节省能力,这表明这两种强化反馈在运动适应中的作用方式相似。此外,所有反馈都增强了运动任务的后效,表明隐性学习发生了变化。
这些结果证明了强化反馈对运动适应具有多方面的性质,并揭示了在不同运动任务中,奖励预测误差和感觉预测误差背后可能存在不同的神经基础。