Department of Physical Therapy, University of Delaware, Newark, Delaware, United States.
Biomechanics and Movement Sciences Program, University of Delaware, Newark, Delaware, United States.
J Neurophysiol. 2024 Oct 1;132(4):1172-1182. doi: 10.1152/jn.00156.2024. Epub 2024 Sep 4.
Motor learning involves both explicit and implicit processes that are fundamental for acquiring and adapting complex motor skills. However, stroke may damage the neural substrates underlying explicit and/or implicit learning, leading to deficits in overall motor performance. Although both learning processes are typically used in concert in daily life and rehabilitation, no gait studies have determined how these processes function together after stroke when tested during a task that elicits dissociable contributions from both. Here, we compared explicit and implicit locomotor learning in individuals with chronic stroke to age- and sex-matched neurologically intact controls. We assessed implicit learning using split-belt adaptation (where two treadmill belts move at different speeds). We assessed explicit learning (i.e., strategy-use) using visual feedback during split-belt walking to help individuals explicitly correct for step length errors created by the split-belts. After the first 40 strides of split-belt walking, we removed the visual feedback and instructed individuals to walk comfortably, a manipulation intended to minimize contributions from explicit learning. We used a multirate state-space model to characterize individual explicit and implicit process contributions to overall behavioral change. The computational and behavioral analyses revealed that, compared with controls, individuals with chronic stroke demonstrated deficits in both explicit and implicit contributions to locomotor learning, a result that runs counter to prior work testing each process individually during gait. Since poststroke locomotor rehabilitation involves interventions that rely on both explicit and implicit motor learning, future work should determine how locomotor rehabilitation interventions can be structured to optimize overall motor learning. Motor learning involves both implicit and explicit processes, the underlying neural substrates of which could be damaged after stroke. Although both learning processes are typically used in concert in daily life and rehabilitation, no gait studies have determined how these processes function together after stroke. Using a locomotor task that elicits dissociable contributions from both processes and computational modeling, we found evidence that chronic stroke causes deficits in both explicit and implicit locomotor learning.
运动学习涉及明确和内隐的过程,这些过程对于获得和适应复杂的运动技能至关重要。然而,中风可能会损害明确和/或内隐学习的神经基础,导致整体运动表现受损。尽管这两种学习过程在日常生活和康复中通常协同使用,但没有步态研究确定这些过程在中风后如何一起发挥作用,当在引发两种过程分离贡献的任务中进行测试时。在这里,我们将慢性中风患者与年龄和性别匹配的神经完整对照组进行了明确和内隐运动学习的比较。我们使用分裂带适应(两条跑步机带以不同速度移动)来评估内隐学习。我们使用分裂带行走过程中的视觉反馈来评估明确学习(即策略使用),以帮助个体明确纠正分裂带产生的步长误差。在分裂带行走的前 40 步之后,我们移除了视觉反馈并指示个体舒适地行走,这一操作旨在最小化明确学习的贡献。我们使用多速率状态空间模型来描述个体对整体行为变化的明确和内隐过程贡献。计算和行为分析表明,与对照组相比,慢性中风患者在运动学习的明确和内隐贡献方面都存在缺陷,这一结果与之前在步态中单独测试每个过程的工作相悖。由于中风后的运动康复涉及依赖明确和内隐运动学习的干预措施,因此未来的工作应该确定如何构建运动康复干预措施以优化整体运动学习。运动学习涉及明确和内隐的过程,这些过程的潜在神经基础可能在中风后受损。尽管这两种学习过程在日常生活和康复中通常协同使用,但没有步态研究确定这些过程在中风后如何一起发挥作用。我们使用一种引发两种过程分离贡献的运动任务和计算模型,发现证据表明慢性中风导致明确和内隐运动学习都存在缺陷。