Literature DB >> 28511128

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

Yun Peng1, Yingchun Zhang2.   

Abstract

OBJECTIVE: To evaluate the repeatability of (Motor Unit Number Index) MUNIX under repeatability conditions, specify the origin of variations and provide strategies for quality control.
METHODS: MUNIX calculations were performed on the bicep brachii muscles of eight healthy subjects. Negative effect of suboptimal electrode positions on MUNIX accuracy was eliminated by employing the high-density surface electromyography technique. MUNIX procedures that utilized a variety of surface interferential pattern (SIP) epoch recruitment strategies (including the original MUNIX procedure, two proposed improvement strategies and their combinations) were described. For each MUNIX procedure, ten thousands of different SIP pools were constructed by randomly recruiting necessary SIP epochs from a large SIP epoch pool (3 datasets, 9 independent electromyography recordings at different contraction levels per dataset and 10 SIP epochs per recording) and implemented for MUNIX calculation. The repeatability of each MUNIX procedure was assessed by summarizing the resulting MUNIX distribution and compared to investigate the effect of SIP epoch selection strategy on repeatability performance.
RESULTS: SIP epochs selected at lower contraction levels have a stronger influence on the repeatability of MUNIX than those selected at higher contraction levels. MUNIX under repeatability conditions follows a normal distribution and the standard deviation can be significantly reduced by introducing more epochs near the MUNIX definition line.
CONCLUSIONS: The MUNIX technique shows an inherent variation attributable to SIP epochs at low contraction levels. It is recommended that more epochs should be sampled at these low contraction levels to improve the repeatability. SIGNIFICANCE: The present study thoroughly documented the inherent variation of MUNIX and the causes, and offered practical solutions to improve the repeatability of MUNIX.
Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bicep brachii; Electromyography; Motor Unit Number Index; Repeatability; Variation

Mesh:

Year:  2017        PMID: 28511128      PMCID: PMC5534347          DOI: 10.1016/j.clinph.2017.03.044

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  14 in total

1.  Reproducibility of MUNIX in patients with amyotrophic lateral sclerosis.

Authors:  Sanjeev D Nandedkar; Paul E Barkhaus; Erik V Stålberg
Journal:  Muscle Nerve       Date:  2011-09-26       Impact factor: 3.217

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

Authors:  Suk-Won Ahn; Su-Hyun Kim; Jee-Eun Kim; Sung-Min Kim; Seung Hyun Kim; Kyung Seok Park; Jung-Joon Sung; Kwang-Woo Lee; Yoon-Ho Hong
Journal:  Muscle Nerve       Date:  2010-11       Impact factor: 3.217

3.  Improving the reproducibility of motor unit number index.

Authors:  Marcio Luiz Escorcio-Bezerra; Acary Souza Bulle Oliveira; Nadia Iandoli De Oliveira Braga; Gilberto Mastrocola Manzano
Journal:  Muscle Nerve       Date:  2017-02-22       Impact factor: 3.217

4.  Motor Unit Number Index (MUNIX): a novel neurophysiological marker for neuromuscular disorders; test-retest reliability in healthy volunteers.

Authors:  Christoph Neuwirth; Sanjeev Nandedkar; Erik Stålberg; Paul E Barkhaus; Mamede de Carvalho; Jasna Furtula; Johannes P van Dijk; Reto Baldinger; José Castro; João Costa; Marit Otto; Arne Sandberg; Markus Weber
Journal:  Clin Neurophysiol       Date:  2011-03-10       Impact factor: 3.708

5.  Spatial characterization of innervation zones under electrically elicited M-wave.

Authors:  C Zhang; Y Peng; S Li; P Zhou; A Munoz; D Tang; Y Zhang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

6.  Lower motor neuron involvement in ALS assessed by motor unit number index (MUNIX): Long-term changes and reproducibility.

Authors:  Davood Fathi; Bahram Mohammadi; Reinhard Dengler; Sebastian Böselt; Susanne Petri; Katja Kollewe
Journal:  Clin Neurophysiol       Date:  2016-01-28       Impact factor: 3.708

7.  A dilemma in stroke application: Standard or modified motor unit number index?

Authors:  Ping Zhou; Xiaoyan Li; Sheng Li; Sanjeev D Nandedkar
Journal:  Clin Neurophysiol       Date:  2016-05-28       Impact factor: 3.708

8.  Motor unit number estimation based on high-density surface electromyography decomposition.

Authors:  Yun Peng; Jinbao He; Bo Yao; Sheng Li; Ping Zhou; Yingchun Zhang
Journal:  Clin Neurophysiol       Date:  2016-06-25       Impact factor: 3.708

9.  Activation deficit correlates with weakness in chronic stroke: evidence from evoked and voluntary EMG recordings.

Authors:  Sheng Li; Jie Liu; Minal Bhadane; Ping Zhou; W Zev Rymer
Journal:  Clin Neurophysiol       Date:  2014-04-02       Impact factor: 3.708

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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  1 in total

1.  Global Innervation Zone Identification With High-Density Surface Electromyography.

Authors:  Chuan Zhang; Nicholas Dias; Jinbao He; Ping Zhou; Sheng Li; Yingchun Zhang
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-30       Impact factor: 4.538

  1 in total

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