Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota, USA.
J Neurophysiol. 2011 Dec;106(6):2849-64. doi: 10.1152/jn.00378.2011. Epub 2011 Aug 31.
Dexterous use of the hand represents a sophisticated sensorimotor function. In behaviors such as playing the piano, it can involve strong temporal and spatial constraints. The purpose of this study was to determine fundamental patterns of covariation of motion across joints and digits of the human hand. Joint motion was recorded while 5 expert pianists played 30 excerpts from musical pieces, which featured ∼50 different tone sequences and fingering. Principal component analysis and cluster analysis using an expectation-maximization algorithm revealed that joint velocities could be categorized into several patterns, which help to simplify the description of the movements of the multiple degrees of freedom of the hand. For the thumb keystroke, two distinct patterns of joint movement covariation emerged and they depended on the spatiotemporal patterns of the task. For example, the thumb-under maneuver was clearly separated into two clusters based on the direction of hand translation along the keyboard. While the pattern of the thumb joint velocities differed between these clusters, the motions at the metacarpo-phalangeal and proximal-phalangeal joints of the four fingers were more consistent. For a keystroke executed with one of the fingers, there were three distinct patterns of joint rotations, across which motion at the striking finger was fairly consistent, but motion of the other fingers was more variable. Furthermore, the amount of movement spillover of the striking finger to the adjacent fingers was small irrespective of the finger used for the keystroke. These findings describe an unparalleled amount of independent motion of the fingers.
手的灵活运用代表了一种复杂的感觉运动功能。在弹钢琴等行为中,它可能涉及到强烈的时间和空间限制。本研究的目的是确定人类手部关节和手指运动之间协同变化的基本模式。在 5 位专家钢琴家演奏 30 首乐曲片段时记录关节运动,这些片段包含约 50 种不同的音序和指法。主成分分析和使用期望最大化算法的聚类分析表明,关节速度可以分为几种模式,这有助于简化对手部多个自由度运动的描述。对于拇指按键,关节运动的协同变化出现了两种明显的模式,它们取决于任务的时空模式。例如,拇指下击操作根据键盘上手的平移方向明显分为两个集群。虽然这些集群中拇指关节速度的模式不同,但四个手指的掌指和近节关节的运动更为一致。对于用一个手指执行的按键操作,有三个明显的关节旋转模式,在这些模式中,敲击手指的运动相当一致,但其他手指的运动更为多变。此外,无论用于按键的手指如何,敲击手指向相邻手指的运动溢出量都很小。这些发现描述了手指前所未有的独立运动。