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数字协同发音的肌肉活动模式。

Patterns of muscle activity for digital coarticulation.

机构信息

Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, USA.

出版信息

J Neurophysiol. 2013 Jul;110(1):230-42. doi: 10.1152/jn.00973.2012. Epub 2013 Apr 17.

Abstract

Although piano playing is a highly skilled task, basic features of motor pattern generation may be shared across tasks involving fine movements, such as handling coins, fingering food, or using a touch screen. The scripted and sequential nature of piano playing offered the opportunity to quantify the neuromuscular basis of coarticulation, i.e., the manner in which the muscle activation for one sequential element is altered to facilitate production of the preceding and subsequent elements. Ten pianists were asked to play selected pieces with the right hand at a uniform tempo. Key-press times were recorded along with the electromyographic (EMG) activity from seven channels: thumb flexor and abductor muscles, a flexor for each finger, and the four-finger extensor muscle. For the thumb and index finger, principal components of EMG waveforms revealed highly consistent variations in the shape of the flexor bursts, depending on the type of sequence in which a particular central key press was embedded. For all digits, the duration of the central EMG burst scaled, along with slight variations across subjects in the duration of the interkeystroke intervals. Even within a narrow time frame (about 100 ms) centered on the central EMG burst, the exact balance of EMG amplitudes across multiple muscles depended on the nature of the preceding and subsequent key presses. This fails to support the idea of fixed burst patterns executed in sequential phases and instead provides evidence for neuromuscular coarticulation throughout the time course of a hand movement sequence.

摘要

虽然钢琴演奏是一项高度熟练的任务,但涉及精细运动的任务(如处理硬币、用手指夹食物或使用触摸屏)可能具有生成运动模式的基本特征。钢琴演奏的脚本和顺序性质提供了量化协同发音神经肌肉基础的机会,即肌肉激活一个连续元素的方式,以促进前面和后面元素的产生。十位钢琴家被要求以均匀的速度用右手演奏选定的乐曲。按键时间与来自七个通道的肌电图 (EMG) 活动一起记录:拇指屈肌和外展肌、每个手指的屈肌以及四指伸肌。对于拇指和食指,EMG 波形的主成分揭示了屈肌爆发形状的高度一致变化,具体取决于特定中央按键嵌入的序列类型。对于所有手指,中央 EMG 爆发的持续时间与每个手指的 EMG 爆发的持续时间相匹配,并且在按键之间的时间间隔上略有变化。即使在中央 EMG 爆发的狭窄时间范围内(约 100 毫秒),多个肌肉的 EMG 幅度的精确平衡也取决于前面和后面按键的性质。这不能支持在顺序阶段执行固定爆发模式的想法,而是为手运动序列整个时间过程中的神经肌肉协同发音提供了证据。

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