Department of Health and Kinesiology, Texas A&M University, College Station, USA; Department of Kinesiology, University of Wisconsin, Milwaukee, USA.
Department of Health and Kinesiology, Texas A&M University, College Station, USA.
Hum Mov Sci. 2022 Dec;86:103017. doi: 10.1016/j.humov.2022.103017. Epub 2022 Oct 20.
Use-dependent learning has been investigated to some extent, although how motor patterns obtained through use-dependent learning are generalized across different movement conditions remains to be further understood. Here, we investigate the generalizability of use-dependent learning by determining how visuomotor adaptation associated with use-dependent learning was generalized across different workspaces and limb postures. In our experiments, participants first adapted to a visuomotor rotation while reaching from a given starting position toward a training target in a given limb posture. They concurrently experienced repetitive passive movements from varying starting positions (Exp. 1) or in varying limb postures (Exp. 2). Following that, they adapted to the same rotation while reaching from the original start circle to a transfer target. Regardless of the workspaces or limb postures experienced, passive training facilitated visuomotor adaptation in the transfer session, indicating that visuomotor adaptation can generalize across different movement conditions. However, the extent of generalization decreased as the experienced workspaces or limb postures deviated from the original condition experienced. Our findings indicate that use-dependent learning results in motor instances that are workspace and limb-posture specific, although they are still useful for enhancing the generalization of motor learning across varying conditions.
使用依赖性学习在一定程度上已经得到了研究,尽管通过使用依赖性学习获得的运动模式如何在不同的运动条件下进行泛化仍有待进一步理解。在这里,我们通过确定与使用依赖性学习相关的视动适应如何在不同的工作空间和肢体姿势之间进行泛化,来研究使用依赖性学习的泛化能力。在我们的实验中,参与者首先在从给定起始位置到达给定肢体姿势的训练目标的过程中适应视动旋转。他们同时从不同的起始位置(实验 1)或不同的肢体姿势(实验 2)经历重复的被动运动。之后,他们从原始起始圆到达转移目标时适应相同的旋转。无论经历的工作空间或肢体姿势如何,被动训练都有助于转移阶段的视动适应,表明视动适应可以在不同的运动条件下进行泛化。然而,随着经历的工作空间或肢体姿势与原始条件的偏离程度的增加,泛化程度会降低。我们的研究结果表明,使用依赖性学习导致运动实例与工作空间和肢体姿势相关,尽管它们仍然有助于增强运动学习在不同条件下的泛化能力。