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使用新的“MUESA”方法获得的运动单位估计值。

Motor unit estimates obtained using the new "MUESA" method.

作者信息

Slawnych M, Laszlo C, Herschler C

机构信息

Department of Anatomy, University of British Columbia, Vancouver, Canada.

出版信息

Muscle Nerve. 1996 May;19(5):626-36. doi: 10.1002/(SICI)1097-4598(199605)19:5<626::AID-MUS11>3.0.CO;2-L.

Abstract

Motor unit number estimates were obtained from the extensor digitorum brevis and thenar muscles using a new method called MUESA. MUESA is distinguished from other estimation methods in the manner in which it deals with probabilistic motor unit activation, which is more commonly referred to as "alternation." Because of "alternation," incremental increases in the observed muscle potentials often cannot be interpreted in terms of the successive activation of single motor units. In the MUESA method, the nerve is subjected to a number of constant-intensity stimulus trains, and the resultant muscle response sequences are decomposed into their constituent motor unit action potentials. In general, if a stimulus train results in the probabilistic activation of n motor units, we can expect to see up to 2n different potentials, with each potential representing a unique combination of active and/or inactive motor units. If all 2n potentials are indeed observed, the decomposition of the observed potential sequence into its constituent motor unit action potentials is very straightforward. For the majority of the cases in which the number of observed potentials is not an integer power of 2, we have developed a novel decomposition method based on the analysis of the relative firing rates of the motor units.

摘要

运动单位数量估计值是通过一种名为MUESA的新方法从趾短伸肌和拇短展肌获得的。MUESA与其他估计方法的区别在于其处理概率性运动单位激活的方式,这种激活更常被称为“交替”。由于“交替”现象,观察到的肌肉电位的增量增加通常不能按照单个运动单位的连续激活来解释。在MUESA方法中,神经受到多个恒定强度的刺激序列,然后将所得的肌肉反应序列分解为其组成的运动单位动作电位。一般来说,如果一个刺激序列导致n个运动单位的概率性激活,我们可以预期看到多达2n个不同的电位,每个电位代表活跃和/或不活跃运动单位的独特组合。如果确实观察到了所有2n个电位,那么将观察到的电位序列分解为其组成的运动单位动作电位就非常简单。对于大多数观察到的电位数量不是2的整数幂的情况,我们基于对运动单位相对放电率的分析开发了一种新颖的分解方法。

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