运动单位数量估计：技术与文献综述
Motor unit number estimation: a technology and literature review.
作者信息
Gooch Clifton L, Doherty Timothy J, Chan K Ming, Bromberg Mark B, Lewis Richard A, Stashuk Dan W, Berger Michael J, Andary Michael T, Daube Jasper R
机构信息
Department of Neurology, University of South Florida, Tampa, Florida, USA.
出版信息
Muscle Nerve. 2014 Dec;50(6):884-93. doi: 10.1002/mus.24442.
INTRODUCTION
Numerous methods for motor unit number estimation (MUNE) have been developed. The objective of this article is to summarize and compare the major methods and the available data regarding their reproducibility, validity, application, refinement, and utility.
METHODS
Using specified search criteria, a systematic review of the literature was performed. Reproducibility, normative data, application to specific diseases and conditions, technical refinements, and practicality were compiled into a comprehensive database and analyzed.
RESULTS
The most commonly reported MUNE methods are the incremental, multiple-point stimulation, spike-triggered averaging, and statistical methods. All have established normative data sets and high reproducibility. MUNE provides quantitative assessments of motor neuron loss and has been applied successfully to the study of many clinical conditions, including amyotrophic lateral sclerosis and normal aging.
CONCLUSIONS
MUNE is an important research technique in human subjects, providing important data regarding motor unit populations and motor unit loss over time.
引言
已经开发出多种运动单位数量估计（MUNE）方法。本文的目的是总结和比较主要方法以及有关其可重复性、有效性、应用、改进和实用性的现有数据。
方法
使用指定的搜索标准对文献进行系统综述。将可重复性、规范数据、在特定疾病和病症中的应用、技术改进和实用性汇编成一个综合数据库并进行分析。
结果
最常报道的MUNE方法是递增法、多点刺激法、触发脉冲平均法和统计法。所有这些方法都已建立规范数据集且具有高可重复性。MUNE提供运动神经元损失的定量评估，并已成功应用于许多临床病症的研究，包括肌萎缩侧索硬化症和正常衰老。
结论
MUNE是人体研究中的一项重要研究技术，提供有关运动单位群体和随时间变化的运动单位损失的重要数据。
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