Cordo P, Bevan L, Gurfinkel V, Carlton L, Carlton M, Kerr G
Robert S. Dow Neurological Sciences Institute, Legacy Good Samaritan Hospital and Medical Center, Portland, OR 97209, USA.
Can J Physiol Pharmacol. 1995 Feb;73(2):305-15. doi: 10.1139/y95-041.
A "discrete" movement sequence is defined as a movement with a single goal that involves a series of overlapping joint rotations. Reaching-and-grasping and throwing are examples of discrete movement sequences. The central nervous system (CNS) can use reafferent proprioceptive information from one joint rotation in a sequence to coordinate subsequent rotations at other joints. The experiments reported in this paper demonstrate how the human CNS uses proprioceptive information to coordinate discrete movement sequences. We examined the mechanism (at an information processing level) underlying proprioceptive coordination and the generality (i.e., the boundary conditions) of these mechanisms as they apply to everyday movement sequences. Adult human subjects performed a discrete movement sequence that resembles backhand throwing: elbow extension followed by hand opening. The task was to open the hand as the elbow passed through a prescribed "target" angle. We eliminated visual information and made the arrival time at the target angle unpredictable so that the available kinematic information was provided exclusively by proprioception. The subjects were capable of performing this motor task with a high degree of precision, thereby demonstrating that the nervous system can use proprioceptive input to coordinate discrete movement sequences. Our data indicate that precise coordination is achieved by extracting kinematic information related to both the velocity of elbow rotation as well as the elbow position during movement (i.e., "dynamic position"). Dynamic position information appears to be encoded as both absolute joint angle and angular distance, although more precisely as angular distance. Although our experiments were conducted under rather restrictive laboratory conditions, this mechanism of motor coordination might also apply to everyday movement. Our results suggest that this mechanism could be employed for passive as well as active movement sequences, with and without opposing loads; it could exert its influence in discrete movement sequences as brief as 210 ms or as long as 1.5 s; and it does not involve any significant degree of learning (this proprioceptive mechanism appears to be readily available for use on the first attempt of a novel motor task).
“离散”运动序列被定义为具有单一目标的运动,它涉及一系列重叠的关节旋转。伸手抓握和投掷就是离散运动序列的例子。中枢神经系统(CNS)可以利用序列中一个关节旋转的再传入本体感觉信息来协调其他关节的后续旋转。本文报道的实验展示了人类中枢神经系统如何利用本体感觉信息来协调离散运动序列。我们研究了本体感觉协调背后的机制(在信息处理层面)以及这些机制在应用于日常运动序列时的普遍性(即边界条件)。成年人类受试者执行了一个类似于反手投掷的离散运动序列:先伸展肘部,然后张开手。任务是在肘部经过规定的“目标”角度时张开手。我们消除了视觉信息,并使到达目标角度的时间不可预测,以便可用的运动学信息仅由本体感觉提供。受试者能够高精度地执行这项运动任务,从而证明神经系统可以利用本体感觉输入来协调离散运动序列。我们的数据表明,精确的协调是通过提取与肘部旋转速度以及运动过程中肘部位置(即“动态位置”)相关的运动学信息来实现的。动态位置信息似乎既被编码为绝对关节角度,也被编码为角距离,不过更精确地说是角距离。尽管我们的实验是在相当严格的实验室条件下进行的,但这种运动协调机制可能也适用于日常运动。我们的结果表明,这种机制可用于被动和主动运动序列,无论有无对抗负荷;它可以在短至210毫秒或长达1.5秒的离散运动序列中发挥作用;并且它不涉及任何显著程度的学习(这种本体感觉机制似乎在首次尝试新的运动任务时就很容易可用)。