Häger-Ross C, Johansson R S
Department of Physiology, Umeå University, Sweden.
Exp Brain Res. 1996 Jun;110(1):131-41. doi: 10.1007/BF00241382.
Sensory inputs from the digits are important in initiating and scaling automatic reactive grip responses that help prevent frictional slips when grasped objects are subjected to destabilizing load forces. In the present study we analyzed the contribution to grip-force control from mechanoreceptors located proximal to the digits when subjects held a small manipulandum between the tips of the thumb and index finger. Loads of various controlled amplitudes and rates were delivered tangential to the grip surfaces at unpredictable times. Grip forces (normal to the grip surfaces) and the position of the manipulandum were recorded. In addition, movements of hand and arm segments were assessed by recording the position of markers placed at critical points. Subjects performed test series during normal digital sensibility and during local anesthesia of the index finger and thumb. To grade the size of movements of tissues proximal to the digits caused by the loadings, three different conditions of arm and hand support were used; (1) in the hand-support condition the subjects used the three ulnar fingers to grasp a vertical dowel support and the forearm was supported in a vacuum cast; (2) in the forearm-support condition only the forearm was supported; finally, (3) in the no-support condition the arm was free. With normal digital sensibility the size of the movements proximal to the digits had small effects on the grip-force control. In contrast, the grip control was markedly influenced by the extent of such movements during digital anesthesia. The poorest control was observed in the hand-support condition, allowing essentially only digital movements. The grip responses were either absent or attenuated, with greatly prolonged onset latencies. In the forearm and no-support conditions, when marked wrist movements took place, both the frequency and the strength of grip-force responses were higher, and the grip response latencies were shorter. However, the performance never approached normal. It is concluded that sensory inputs from the digits are dominant in reactive grip control. However, nondigital sensory input may be used for some grip control during impaired digital sensibility. Furthermore, the quality of the control during impaired sensibility depends on the extent of movements evoked by the load in the distal, unanesthetized parts of the arm. The origin of these useful sensory signals is discussed.
来自手指的感觉输入对于启动和调整自动反应性抓握反应很重要,当被抓握物体受到使物体不稳定的负载力时,这种反应有助于防止摩擦滑动。在本研究中,当受试者用拇指和食指指尖夹住一个小操作手柄时,我们分析了位于手指近端的机械感受器对握力控制的贡献。在不可预测的时间,向握力表面切向施加各种可控幅度和速率的负载。记录握力(垂直于握力表面)和操作手柄的位置。此外,通过记录放置在关键点的标记的位置来评估手部和手臂节段的运动。受试者在正常手指感觉期间以及食指和拇指局部麻醉期间进行测试系列。为了对负载引起的手指近端组织的运动大小进行分级,使用了三种不同的手臂和手部支撑条件:(1) 在手部支撑条件下,受试者用三个尺侧手指抓住一个垂直的销钉支撑物,前臂支撑在真空石膏中;(2) 在 forearm-support 条件下,仅支撑前臂;最后,(3) 在无支撑条件下,手臂自由。在正常手指感觉时,手指近端的运动大小对握力控制影响较小。相比之下,在手指麻醉期间,这种运动的程度对握力控制有显著影响。在手部支撑条件下观察到最差的控制,基本上只允许手指运动。抓握反应要么不存在,要么减弱,起始潜伏期大大延长。在前臂和无支撑条件下,当发生明显的手腕运动时,握力反应的频率和强度都更高,并且握力反应潜伏期更短。然而,性能从未接近正常水平。结论是,来自手指的感觉输入在反应性握力控制中占主导地位。然而,在手指感觉受损期间,非手指感觉输入可用于一些握力控制。此外,感觉受损期间的控制质量取决于手臂远端未麻醉部位的负载引起的运动程度。讨论了这些有用感觉信号的来源。