Literature DB >> 21396884

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

Christoph Neuwirth1, 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.   

Abstract

OBJECTIVE: To investigate the intra-rater and inter-rater test-retest reliability of the Motor Unit Number Index (MUNIX) in healthy subjects in a multicentre setting.
METHODS: Six study centres applied the MUNIX technique in 66 healthy subjects. Five to six muscles (biceps brachii, BB; abductor digiti minimi, ADM; abductor pollicis brevis, APB; tibialis anterior, TA; extensor digitorum brevis, EDB and abductor hallucis, AH) were measured in each volunteer four times by two independent examiners.
RESULTS: The method was easy to perform and well tolerated. The intraclass correlation coefficient (ICC) varied between centres and muscles. Intra-rater reliability was greatest for the AH (ICC 0.83) and EDB (ICC 0.81). Inter-rater reliability was greatest for the AH (ICC 0.69) and ADM muscles (ICC 0.69). The most critical muscle was the APB muscle (ICC 0.52, total variability). This was mostly due to variability in the compound muscle action potential (CMAP) measurements. MUNIX values of the APB, ADM and TA fell into the same range as in other motor unit number estimation (MUNE) studies.
CONCLUSION: MUNIX measurements in multiple muscles show good inter- and intra-rater reliability in healthy subjects. CMAP amplitude must be controlled to optimize reliability. SIGNIFICANCE: Results suggest that MUNIX could serve as a reliable marker for motor neuron loss in diseases like amyotrophic lateral sclerosis.
Copyright © 2011 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21396884     DOI: 10.1016/j.clinph.2011.02.017

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


  23 in total

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

2.  CMAP Scan MUNE (MScan) - A Novel Motor Unit Number Estimation (MUNE) Method.

Authors:  Anna B Jacobsen; Hugh Bostock; Hatice Tankisi
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3.  Computing motor unit number index of the first dorsal interosseous muscle with two different contraction tasks.

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

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Journal:  Clin Neurophysiol       Date:  2016-06-25       Impact factor: 3.708

5.  Transient impairment of the axolemma following regional anaesthesia by lidocaine in humans.

Authors:  Mihai Moldovan; Kai Henrik Wiborg Lange; Niels Jacob Aachmann-Andersen; Troels Wesenberg Kjær; Niels Vidiendal Olsen; Christian Krarup
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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

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Authors:  Michael Benatar; Kevin Boylan; Andreas Jeromin; Seward B Rutkove; James Berry; Nazem Atassi; Lucie Bruijn
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8.  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

9.  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

10.  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

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