Centre for Vision Research, York University, 4700 Keele Street, Toronto M3J 1P3, Ontario, Canada; Department of Neuroscience, Washington University School of Medicine in St. Louis, 660 S. Euclid Ave., St. Louis 63110-1010, MO, USA.
Centre for Vision Research, York University, 4700 Keele Street, Toronto M3J 1P3, Ontario, Canada.
Hum Mov Sci. 2024 Aug;96:103250. doi: 10.1016/j.humov.2024.103250. Epub 2024 Jul 3.
Movement sonification can improve motor control in both healthy subjects (e.g., learning or refining a sport skill) and those with sensorimotor deficits (e.g., stroke patients and deafferented individuals). It is not known whether improved motor control and learning from movement sonification are driven by feedback-based real-time ("online") trajectory adjustments, adjustments to internal models over multiple trials, or both. We searched for evidence of online trajectory adjustments (muscle twitches) in response to movement sonification feedback by comparing the kinematics and error of reaches made with online (i.e., real-time) and terminal sonification feedback. We found that reaches made with online feedback were significantly more jerky than reaches made with terminal feedback, indicating increased muscle twitching (i.e., online trajectory adjustment). Using a between-subject design, we found that online feedback was associated with improved motor learning of a reach path and target over terminal feedback; however, using a within-subjects design, we found that switching participants who had learned with online sonification feedback to terminal feedback was associated with a decrease in error. Thus, our results suggest that, with our task and sonification, movement sonification leads to online trajectory adjustments which improve internal models over multiple trials, but which themselves are not helpful online corrections.
运动发声可以改善健康受试者(例如,学习或完善运动技能)和感觉运动缺陷受试者(例如,中风患者和去传入个体)的运动控制。目前尚不清楚运动发声改善运动控制和学习是由基于反馈的实时(“在线”)轨迹调整、多次试验中对内部模型的调整还是两者共同驱动的。我们通过比较在线(即实时)和终端发声反馈时的运动学和误差,来寻找运动发声反馈引起的在线轨迹调整(肌肉抽搐)的证据。我们发现,与使用终端反馈时相比,使用在线反馈时的伸展运动明显更急促,这表明肌肉抽搐(即在线轨迹调整)增加了。使用被试间设计,我们发现在线反馈与使用终端反馈相比,与伸展路径和目标的运动学习改善有关;但是,使用被试内设计,我们发现将已经使用在线发声反馈学习的参与者切换到终端反馈会导致误差减小。因此,我们的结果表明,在我们的任务和发声中,运动发声会导致在线轨迹调整,从而在多次试验中改善内部模型,但这些调整本身并不能在线纠正错误。