Literature DB >> 8600173

Estimating the number of motor units in a muscle.

J R Daube1.   

Abstract

A loss of motor units is the primary defect in many neurogenic disorders. The number of motor units remaining in a muscle or group of muscles can be estimated by a number of methods on either needle electromyography or as part of nerve-conduction studies. Comparison of the methods of motor unit number estimates (MUNE) and their underlying assumptions shows that each method can provide reliable and useful clinical information. Each method relies on obtaining an estimate of the average size of single motor units, and compares that size with the size of a maximal compound muscle action potential in which all motor units are activated. The potential errors of all the methods are similar and relate primarily to adequacy of sampling of the size of single motor units. The method of statistical estimates of MUNE does not attempt to isolate and measure individual motor unit potential sizes. Rather it estimates the size of single motor units from the variation in size of a muscle action potential when individual motor units in a group of motor units fire randomly.

Entities:  

Mesh:

Year:  1995        PMID: 8600173     DOI: 10.1097/00004691-199511000-00005

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  13 in total

Review 1.  Measures and markers in amyotrophic lateral sclerosis.

Authors:  Merit Cudkowicz; Muhammad Qureshi; Jeremy Shefner
Journal:  NeuroRx       Date:  2004-04

2.  Contraction level, but not force direction or wrist position, affects the spatial distribution of motor unit recruitment in the biceps brachii muscle.

Authors:  Daniele Borzelli; Marco Gazzoni; Alberto Botter; Laura Gastaldi; Andrea d'Avella; Taian M Vieira
Journal:  Eur J Appl Physiol       Date:  2020-02-19       Impact factor: 3.078

3.  Motor unit number estimation of human abductor hallucis from a compound muscle action potential scan.

Authors:  Xiaoyan Li; Ya Zong; Cliff S Klein; Ping Zhou
Journal:  Muscle Nerve       Date:  2018-10-04       Impact factor: 3.217

4.  Normal complement of motor units in asymptomatic familial (SOD1 mutation) amyotrophic lateral sclerosis carriers.

Authors:  A Aggarwal; G Nicholson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-10       Impact factor: 10.154

5.  Application of the F-Response for Estimating Motor Unit Number and Amplitude Distribution in Hand Muscles of Stroke Survivors.

Authors:  Xiaoyan Li; Morris Fisher; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-07-08       Impact factor: 3.802

6.  Motor unit number estimation in evaluating disease progression in patients with amyotrophic lateral sclerosis.

Authors:  Suk-Won Ahn; Su-Hyun Kim; Dong-Hoon Oh; Sung-Min Kim; Kyung Seok Park; Yoon-Ho Hong; Oh-Sang Kwon; Jung-Joon Sung; Kwang-Woo Lee
Journal:  J Korean Med Sci       Date:  2010-08-14       Impact factor: 2.153

Review 7.  Assessment of Motor Units in Neuromuscular Disease.

Authors:  Robert D Henderson; Pamela A McCombe
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

8.  Motor unit number index examination in dominant and non-dominant hand muscles.

Authors:  Xiaoyan Li; Wensheng He; Charles Li; Ying-Chih Wang; Brooke A Slavens; Ping Zhou
Journal:  Laterality       Date:  2015-07-31

9.  Motor unit number estimation in the rat tail using a modified multipoint stimulation technique.

Authors:  Lora J Kasselman; Jeremy M Shefner; Seward B Rutkove
Journal:  Muscle Nerve       Date:  2009-07       Impact factor: 3.217

10.  Reliability of a modified motor unit number index (MUNIX) technique.

Authors:  Ryan D Kaya; Richard L Hoffman; Brian C Clark
Journal:  J Electromyogr Kinesiol       Date:  2013-10-16       Impact factor: 2.368

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