School of Kinesiology and Health Science, York University, Toronto, ON, M3J 1P3, Canada.
Centre for Vision Research, York University, Toronto, ON, M3J 1P3, Canada.
Sci Rep. 2023 Mar 28;13(1):5022. doi: 10.1038/s41598-023-32068-8.
Human motor adaptation relies on both explicit conscious strategies and implicit unconscious updating of internal models to correct motor errors. Implicit adaptation is powerful, requiring less preparation time before executing adapted movements, but recent work suggests it is limited to some absolute magnitude regardless of the size of a visuomotor perturbation when the perturbation is introduced abruptly. It is commonly assumed that gradually introducing a perturbation should lead to improved implicit learning beyond this limit, but outcomes are conflicting. We tested whether introducing a perturbation in two distinct gradual methods can overcome the apparent limit and explain past conflicting findings. We found that gradually introducing a perturbation in a stepped manner, where participants were given time to adapt to each partial step before being introduced to a larger partial step, led to ~ 80% higher implicit aftereffects of learning, but introducing it in a ramped manner, where participants adapted larger rotations on each subsequent reach, did not. Our results clearly show that gradual introduction of a perturbation can lead to substantially larger implicit adaptation, as well as identify the type of introduction that is necessary to do so.
人类运动适应依赖于明确的有意识策略和内隐的无意识内部模型更新,以纠正运动错误。内隐适应能力很强,在执行适应运动之前需要的准备时间更少,但最近的研究表明,无论视觉运动干扰的大小如何,当干扰突然出现时,它都受到一些绝对幅度的限制。通常认为,逐渐引入干扰应该会导致超出此限制的更好的内隐学习,但结果存在冲突。我们测试了以两种不同的渐进方式引入干扰是否可以克服明显的限制并解释过去的冲突发现。我们发现,以逐步的方式引入干扰,即让参与者有时间适应每个部分步骤,然后再引入更大的部分步骤,可以导致学习的内隐后效提高约 80%,但以斜坡方式引入干扰,即参与者在后续每次伸展中适应更大的旋转,则不会。我们的研究结果清楚地表明,逐渐引入干扰可以导致更大的内隐适应,同时还确定了实现这一目标所需的引入类型。