Sensorimotor control of gait: a novel approach for the study of the interplay of visual and proprioceptive feedback.

Sensorimotor control of gait: a novel approach for the study of the interplay of visual and proprioceptive feedback.
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DOI:
10.3389/fnhum.2015.00014
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发表时间:
2015
影响因子:
2.9
通讯作者:
Artemiadis P
Artemiadis P
中科院分区:
医学3区
文献类型:
--
作者:
Frost R;Skidmore J;Santello M;Artemiadis P

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感觉运动控制理论认为,中枢神经系统利用运动命令产生的预期感觉结果进行运动规划,并利用在线感觉反馈与预期感觉反馈进行比较,以监控和纠正正在进行的运动输出(如果需要)。在我们的研究中,我们通过量化预期与实际本体感觉反馈在人类步态规划和调节中的功能作用来测试这一理论框架。我们通过使用一种新的方法来提供步行表面硬度的快速扰动,并结合虚拟现实系统来解决这个问题,该系统提供了即将到来的表面硬度变化的可视反馈。在“可预测的”实验条件下,我们要求受试者学习将运动过程中地板硬度(沙块)变化的视觉反馈联系起来,以量化步态周期之前和期间步态的运动学和动力学变化。在“不可预测”的实验条件下,我们在步态中不可预测的情况下扰动地板僵硬,以表征恢复运动周期中步态阶段依赖的策略。对于“不可预测”的情况,地板僵硬变化的视觉反馈是不存在的,或者与触觉和本体感觉反馈不一致。对这些扰动诱导的对侧腿部运动学影响的研究表明,对即将到来的地板刚度变化的视觉反馈允许腿部运动学的早期(准备)和后期(扰动后)变化。然而,当本体感觉反馈不可用时,腿部运动学中的早期反应不会发生,而晚期反应被保留下来,尽管形式略有减弱。本研究提出的方法和对侧腿部运动学反应的初步结果为研究视觉、触觉和本体感觉反馈在步态控制中的相对作用开辟了新的方向,并对设计新的机器人辅助步态康复方法具有潜在的指导意义。
Sensorimotor control theories propose that the central nervous system exploits expected sensory consequences generated by motor commands for movement planning, as well as online sensory feedback for comparison with expected sensory feedback for monitoring and correcting, if needed, ongoing motor output. In our study, we tested this theoretical framework by quantifying the functional role of expected vs. actual proprioceptive feedback for planning and regulation of gait in humans. We addressed this question by using a novel methodological approach to deliver fast perturbations of the walking surface stiffness, in conjunction with a virtual reality system that provided visual feedback of upcoming changes of surface stiffness. In the “predictable” experimental condition, we asked subjects to learn associating visual feedback of changes in floor stiffness (sand patch) during locomotion to quantify kinematic and kinetic changes in gait prior to and during the gait cycle. In the “unpredictable” experimental condition, we perturbed floor stiffness at unpredictable instances during the gait to characterize the gait-phase dependent strategies in recovering the locomotor cycle. For the “unpredictable” conditions, visual feedback of changes in floor stiffness was absent or inconsistent with tactile and proprioceptive feedback. The investigation of these perturbation-induced effects on contralateral leg kinematics revealed that visual feedback of upcoming changes in floor stiffness allows for both early (preparatory) and late (post-perturbation) changes in leg kinematics. However, when proprioceptive feedback is not available, the early responses in leg kinematics do not occur while the late responses are preserved although in a, slightly attenuated form. The methods proposed in this study and the preliminary results of the kinematic response of the contralateral leg open new directions for the investigation of the relative role of visual, tactile, and proprioceptive feedback on gait control, with potential implications for designing novel robot-assisted gait rehabilitation approaches.
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