Selgrade Brian P, Chang Young-Hui
School of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia.
School of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia
J Neurophysiol. 2015 Mar 1;113(5):1451-61. doi: 10.1152/jn.00246.2014. Epub 2014 Dec 4.
During movement, errors are typically corrected only if they hinder performance. Preferential correction of task-relevant deviations is described by the minimal intervention principle but has not been demonstrated in the joints during locomotor adaptation. We studied hopping as a tractable model of locomotor adaptation of the joints within the context of a limb-force-specific task space. Subjects hopped while adapting to shifted visual feedback that induced them to increase peak ground reaction force (GRF). We hypothesized subjects would preferentially reduce task-relevant joint torque deviations over task-irrelevant deviations to increase peak GRF. We employed a modified uncontrolled manifold analysis to quantify task-relevant and task-irrelevant joint torque deviations for each individual hop cycle. As would be expected by the explicit goal of the task, peak GRF errors decreased in early adaptation before reaching steady state during late adaptation. Interestingly, during the early adaptation performance improvement phase, subjects reduced GRF errors by decreasing only the task-relevant joint torque deviations. In contrast, during the late adaption performance maintenance phase, all torque deviations decreased in unison regardless of task relevance. In deadaptation, when the shift in visual feedback was removed, all torque deviations decreased in unison, possibly because performance improvement was too rapid to detect changes in only the task-relevant dimension. We conclude that limb force adaptation in hopping switches from a minimal intervention strategy during performance improvement to a noise reduction strategy during performance maintenance, which may represent a general control strategy for locomotor adaptation of limb force in other bouncing gaits, such as running.
在运动过程中,通常只有当错误阻碍表现时才会被纠正。任务相关偏差的优先纠正由最小干预原则描述,但尚未在运动适应过程中的关节中得到证实。我们研究了跳跃,将其作为肢体力量特定任务空间背景下关节运动适应的一个易于处理的模型。受试者在适应视觉反馈偏移时进行跳跃,这种偏移促使他们增加地面反作用力峰值(GRF)。我们假设受试者会优先减少与任务相关的关节扭矩偏差,而非与任务无关的偏差,以增加GRF峰值。我们采用了一种改进的非受控流形分析来量化每个单跳周期中与任务相关和与任务无关的关节扭矩偏差。正如任务的明确目标所预期的那样,GRF峰值误差在早期适应阶段下降,在后期适应达到稳态之前。有趣的是,在早期适应性能改善阶段,受试者仅通过减少与任务相关的关节扭矩偏差来降低GRF误差。相比之下,在后期适应性能维持阶段,无论任务相关性如何,所有扭矩偏差都一致下降。在去适应过程中,当视觉反馈的偏移被消除时,所有扭矩偏差都一致下降,可能是因为性能改善太快,无法仅检测到与任务相关维度的变化。我们得出结论,跳跃中的肢体力量适应从性能改善期间的最小干预策略转变为性能维持期间的降噪策略,这可能代表了其他弹跳步态(如跑步)中肢体力量运动适应的一种通用控制策略。