Literature DB >> 21953206

Reproducibility of MUNIX in patients with amyotrophic lateral sclerosis.

Sanjeev D Nandedkar1, Paul E Barkhaus, Erik V Stålberg.   

Abstract

INTRODUCTION: In this study we investigated the reproducibility of motor unit number index (MUNIX) in patients with amyotrophic lateral sclerosis (ALS).
METHODS: MUNIX was recorded in patients with ALS. Studies were performed in 18 thenar and 18 hypothenar muscles by two operators. The reproducibility was assessed using mean MUNIX values, linear regression, correlation coefficient, and coefficient of variation (COV) in individual studies.
RESULTS: The mean values showed no significant difference. The linear regression showed a strong correlation. Most patients had low COV. A high COV was seen when MUNIX was very low. The COV was higher in thenar than in hypothenar muscles.
CONCLUSIONS: MUNIX has very good reproducibility in ALS patients. COV may exaggerate interoperator variation when MUNIX is very low. The higher variability in the thenar muscle is also due to variability in compound muscle action potential amplitude. Although both muscles show good reproducibility, the hypothenar is better suited for serial studies in individual patients.
Copyright © 2011 Wiley Periodicals, Inc.

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Mesh:

Year:  2011        PMID: 21953206     DOI: 10.1002/mus.22204

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


  18 in total

1.  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

2.  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

3.  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

4.  Outcome measures in amyotrophic lateral sclerosis clinical trials.

Authors:  Sabrina Paganoni; Merit Cudkowicz; James D Berry
Journal:  Clin Investig (Lond)       Date:  2014

5.  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

6.  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

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.  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

Review 10.  Mechanisms, models and biomarkers in amyotrophic lateral sclerosis.

Authors:  Martin R Turner; Robert Bowser; Lucie Bruijn; Luc Dupuis; Albert Ludolph; Michael McGrath; Giovanni Manfredi; Nicholas Maragakis; Robert G Miller; Seth L Pullman; Seward B Rutkove; Pamela J Shaw; Jeremy Shefner; Kenneth H Fischbeck
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2013-05       Impact factor: 4.092

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