Mottet Denis, van Dokkum Liesjet Elisabeth Henriette, Froger Jérôme, Gouaïch Abdelkader, Laffont Isabelle
EuroMov, Univ. Montpellier, Montpellier, France.
Laboratoire Charles Coulomb, Univ. Montpellier, Montpellier, France.
PLoS One. 2017 Mar 22;12(3):e0173674. doi: 10.1371/journal.pone.0173674. eCollection 2017.
When we make rapid reaching movements, we have to trade speed for accuracy. To do so, the trajectory of our hand is the result of an optimal balance between feed-forward and feed-back control in the face of signal-dependant noise in the sensorimotor system. How far do these principles of trajectory formation still apply after a stroke, for persons with mild to moderate sensorimotor deficits who recovered some reaching ability? Here, we examine the accuracy of fast hand reaching movements with a focus on the information capacity of the sensorimotor system and its relation to trajectory formation in young adults, in persons who had a stroke and in age-matched control participants. We find that persons with stroke follow the same trajectory formation principles, albeit parameterized differently in the face of higher sensorimotor uncertainty. Higher directional errors after a stroke result in less feed-forward control, hence more feed-back loops responsible for segmented movements. As a consequence, movements are globally slower to reach the imposed accuracy, and the information throughput of the sensorimotor system is lower after a stroke. The fact that the most abstract principles of motor control remain after a stroke suggests that clinicians can capitalize on existing theories of motor control and learning to derive principled rehabilitation strategies.
当我们进行快速伸手动作时,必须在速度和准确性之间进行权衡。为此,我们手部的轨迹是在面对感觉运动系统中依赖信号的噪声时,前馈控制和反馈控制之间实现最佳平衡的结果。对于轻度至中度感觉运动功能缺损但恢复了一定伸手能力的中风患者,这些轨迹形成原则在多大程度上仍然适用呢?在此,我们研究快速手部伸手动作的准确性,重点关注感觉运动系统的信息容量及其与年轻人、中风患者以及年龄匹配的对照参与者的轨迹形成之间的关系。我们发现,中风患者遵循相同的轨迹形成原则,尽管在面对更高的感觉运动不确定性时参数设置有所不同。中风后更高的方向误差导致前馈控制减少,因此更多的反馈回路负责分段运动。结果,为达到规定的准确性,动作在整体上会更慢,并且中风后感觉运动系统的信息吞吐量更低。中风后运动控制最抽象的原则仍然存在这一事实表明,临床医生可以利用现有的运动控制和学习理论来制定有原则的康复策略。