Smith Brendan W, Rowe Justin B, Reinkensmeyer David J
Department of Mechanical Engineering, Loyola Marymount University , Los Angeles, California.
Department of Biomedical Engineering, University of California , Irvine, California.
J Neurophysiol. 2018 Oct 1;120(4):2107-2120. doi: 10.1152/jn.00700.2017. Epub 2018 Aug 8.
During trial-to-trial movement adaptation, the motor system systematically reduces extraneous muscle forces when kinematic errors experienced on previous movements are small, a phenomenon termed "slacking." There is also growing evidence that the motor system slacks continuously (i.e., in real-time) during arm movement or grip force control, but the initiation of this slacking is not well-characterized, obfuscating its physiological cause. Here, we addressed this issue by asking participants ( n = 32) to track discrete force targets presented visually using isometric grip force, then applying a brief, subtle error-clamp to that visual feedback on random trials. Participants reduced their force in an exponential fashion, on these error-clamp trials, except when the target force was <10% maximum voluntary contraction (MVC). This force drift began <250 ms after the onset of the error-clamp, consistent with slacking being an ongoing process unmasked immediately after the motor system finished reacting to the last veridical feedback. Above 10% MVC, the slacking rate increased linearly with grip force magnitude. Grip force variation was approximately 50-100% higher with veridical feedback, largely due to heightened signal power at ~1 Hz, the band of visuomotor feedback control. Finally, the slacking rate measured for each participant during error-clamp trials correlated with their force variation during control trials. That is, participants who slacked more had greater force variation. These results suggest that real-time slacking continuously reduces grip force until visual error prompts correction. Whereas such slacking is suited for force minimization, it may also account for ~30% of the variability in personal grip force variation. NEW & NOTEWORTHY We provide evidence that a form of slacking continuously conditions real-time grip force production. This slacking is well-suited to promote efficiency but is expected to increase force variation by triggering additional feedback corrections. Moreover, we show that the rate at which a person slacks is substantially correlated with the variation of their grip force. In combination, at the neurophysiological level, our results suggest slacking is caused by one or more relatively smooth neural adaptations.
在逐次试验的运动适应过程中,当先前运动中经历的运动学误差较小时,运动系统会系统性地减少无关肌肉力量,这一现象被称为“松弛”。越来越多的证据表明,在手臂运动或握力控制过程中,运动系统会持续(即实时)松弛,但这种松弛的起始特征尚不明确,这使其生理原因变得模糊不清。在此,我们通过要求参与者(n = 32)使用等长握力来跟踪视觉呈现的离散力目标,然后在随机试验中对该视觉反馈施加短暂、细微的误差钳制,来解决这个问题。在这些误差钳制试验中,参与者以指数方式降低他们的力量,除非目标力小于最大自主收缩(MVC)的10%。这种力漂移在误差钳制开始后不到250毫秒就开始了,这与松弛是一个在运动系统对最后一次真实反馈做出反应后立即被揭示的持续过程一致。在MVC的10%以上,松弛率随握力大小呈线性增加。有真实反馈时,握力变化大约高出50 - 100%,这主要是由于在~1赫兹(视觉运动反馈控制频段)处信号功率增加。最后,在误差钳制试验期间为每个参与者测量的松弛率与他们在控制试验期间的力变化相关。也就是说,松弛更多的参与者力变化更大。这些结果表明,实时松弛会持续降低握力,直到视觉误差促使进行校正。虽然这种松弛适合于使力量最小化,但它也可能占个人握力变化变异性的约30%。新内容与值得注意之处我们提供证据表明,一种形式的松弛持续调节实时握力产生。这种松弛非常适合提高效率,但预计会通过触发额外的反馈校正来增加力量变化。此外我们表明,一个人松弛的速率与他们握力的变化显著相关。综合来看,在神经生理学层面,我们的结果表明松弛是由一种或多种相对平滑的神经适应引起的。