Literature DB >> 20976784

Reproducibility of the motor unit number index (MUNIX) in normal controls and amyotrophic lateral sclerosis patients.

Suk-Won Ahn1, Su-Hyun Kim, Jee-Eun Kim, Sung-Min Kim, Seung Hyun Kim, Kyung Seok Park, Jung-Joon Sung, Kwang-Woo Lee, Yoon-Ho Hong.   

Abstract

The motor unit number index (MUNIX) refers to an electrophysiologic technique that measures the approximate number of motor units using the surface electromyographic interference pattern (SIP) recorded during voluntary contraction. This study was done to assess the reproducibility of MUNIX performed on hypothenar muscles in 62 normal controls and 22 amyotrophic lateral sclerosis (ALS) patients. Inter- and intraoperator correlation coefficients for MUNIX were 0.74 and 0.86, respectively, in normal controls, and 0.95 and 0.93, respectively, in ALS patients (P < 0.01 in all). Inter- and intraoperator coefficients of variation for MUNIX measurements were 17.5% and 15.3%, respectively, in normal controls, and 23.7% and 24.0%, respectively, in ALS patients. This study shows a good correlation for MUNIX between intra- and interoperator results in both normal controls and ALS patients. The test-retest variability seems to be greater in ALS patients compared with normal controls, but this will need to be confirmed in future studies. Sources of variability should be identified and corrected for clinical use.

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Year:  2010        PMID: 20976784     DOI: 10.1002/mus.21765

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  18 in total

1.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

2.  Interrelationship between muscle strength, motor units, and aging.

Authors:  Ryan D Kaya; Masato Nakazawa; Richard L Hoffman; Brian C Clark
Journal:  Exp Gerontol       Date:  2013-07-04       Impact factor: 4.032

3.  Computing motor unit number index of the first dorsal interosseous muscle with two different contraction tasks.

Authors:  Ping Zhou; Xiaoyan Li; William Zev Rymer
Journal:  Med Eng Phys       Date:  2012-07-18       Impact factor: 2.242

4.  A simulation-based analysis of motor unit number index (MUNIX) technique using motoneuron pool and surface electromyogram models.

Authors:  Xiaoyan Li; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-04-13       Impact factor: 3.802

5.  An Examination of the Motor Unit Number Index (MUNIX) in muscles paralyzed by spinal cord injury.

Authors:  Xiaoyan Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-04-04

6.  Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels.

Authors:  Yun Peng; Yingchun Zhang
Journal:  Clin Neurophysiol       Date:  2017-04-08       Impact factor: 3.708

7.  Examination of hand muscle activation and motor unit indices derived from surface EMG in chronic stroke.

Authors:  Xiaoyan Li; Jie Liu; Sheng Li; Ying-Chih Wang; Ping Zhou
Journal:  IEEE Trans Biomed Eng       Date:  2014-06-25       Impact factor: 4.538

8.  Modified motor unit number index: A simulation study of the first dorsal interosseous muscle.

Authors:  Xiaoyan Li; Sanjeev D Nandedkar; Ping Zhou
Journal:  Med Eng Phys       Date:  2015-11-28       Impact factor: 2.242

9.  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

10.  The effects of notch filtering on electrically evoked myoelectric signals and associated motor unit index estimates.

Authors:  Xiaoyan Li; William Z Rymer; Guanglin Li; Ping Zhou
Journal:  J Neuroeng Rehabil       Date:  2011-11-23       Impact factor: 4.262

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