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解决运动单位交替问题时,可提高运动单位数量的估计值。

Improved motor unit number estimate when motor unit alternation is addressed.

机构信息

The Miami Project to Cure Paralysis, University of Miami, Florida.

Department of Neurological Surgery, University of Miami, Florida.

出版信息

J Appl Physiol (1985). 2018 Oct 1;125(4):1131-1140. doi: 10.1152/japplphysiol.00910.2017. Epub 2018 May 17.

Abstract

Motor unit number estimation (MUNE) is important for determining motoneuron survival with age or in conditions such as amyotrophic lateral sclerosis or spinal cord injury. The original incremental method and approaches that were introduced to minimize alternation (e.g., multiple-point stimulation) are most commonly used, but one must accept the limitation that alternation of motor units may still inflate the estimate. Alternation occurs because axon thresholds are probabilistic and overlap for different axons; therefore, different combination of motor units may respond at a given stimulus intensity. Our aims were to quantify motor unit alternation systematically in the thenar muscles of 35 healthy adults by digital subtraction of EMG and force, and to compare MUNE with and without alternation. Alternation was prevalent, with one to nine occurrences in the first 7 to 11 steps in EMG in 34 of 35 muscles. It occurred in the first 3 steps in EMG in 49% of muscles. This alternation resulted in fewer units than steps in EMG (3 to 10 units at step 7 to 11). Accounting for alternation using digital subtraction reduced MUNE by up to 50%, day-to-day, and between-participant variability in MUNE. These results highlight the need to quantify alternation to improve the reliability and precision of motor unit number estimates, which will allow for detection of smaller changes in motoneuron survival with age, various health conditions, and/or due to an intervention. NEW & NOTEWORTHY Motor unit alternation was quantified systematically for the first time, addressing a major limitation of motor unit number estimates. Accounting for alternation decreased motor unit number estimates, and improved the reliability and precision of the motor unit number estimate, which will allow smaller, clinically relevant changes in motoneuron survival to be detected.

摘要

运动单位数量估计(MUNE)对于确定运动神经元随年龄或肌萎缩侧索硬化症或脊髓损伤等疾病的存活情况非常重要。最初的增量方法和旨在最小化交替(例如多点刺激)的方法是最常用的,但必须接受这样的局限性,即运动单位的交替仍可能会夸大估计值。交替发生是因为轴突阈值是概率性的,并且会重叠不同的轴突;因此,在给定的刺激强度下,不同的运动单位组合可能会有反应。我们的目的是通过数字减法对 35 名健康成年人的大鱼际肌肉中的运动单位交替进行系统地量化,并比较有交替和无交替时的 MUNE。在 35 块肌肉中的 34 块肌肉中,在 EMG 的前 7 到 11 个步骤中,运动单位交替出现了一次到九次。在 49%的肌肉中,在 EMG 的前 3 个步骤中出现了运动单位交替。这种交替导致的运动单位数量少于 EMG 中的步骤数(在第 7 到 11 个步骤中为 3 到 10 个单位)。使用数字减法来解释交替现象,会导致 MUNE 减少多达 50%,从而减少 MUNE 的日常和参与者之间的变异性。这些结果强调了量化交替的必要性,以提高运动单位数量估计的可靠性和精度,从而可以检测到运动神经元随年龄、各种健康状况和/或由于干预而存活的较小变化。

新内容和值得注意的内容

首次系统地量化了运动单位的交替,解决了运动单位数量估计的一个主要限制。考虑到交替现象会减少运动单位数量的估计值,并提高运动单位数量估计的可靠性和精度,从而可以检测到运动神经元存活的更小、更具临床意义的变化。

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