Literature DB >> 20589888

Motor unit number index (MUNIX): a novel neurophysiological technique to follow disease progression in amyotrophic lateral sclerosis.

Christoph Neuwirth1, Sanjeev Nandedkar, Erik Stålberg, Markus Weber.   

Abstract

Motor unit number estimation techniques in amyotrophic lateral sclerosis (ALS) patients are technically challenging and time-consuming. The Motor Unit Number Index (MUNIX) is a novel technique based on surface-EMG recordings and requires only 3-5 minutes per muscle. The objective was to explore the feasibility of longitudinal MUNIX measurements in ALS patients. In seven patients enrolled in a clinical trial, eight muscles were studied every 2 months for up to 15 months in addition to the revised ALS-functional rating scale, slow vital capacity, and compound muscle action potentials. The method was well tolerated and easy to perform. Initial MUNIX measures were significantly reduced compared to controls (487 +/- 194 vs. 1459 +/- 113; P < 0.001). Relative drop from baseline paralleled the clinical course and was greater than the drop of other markers of disease progression. MUNIX measurements in multiple muscles are suitable for serial neurophysiologic investigations in ALS. Further longitudinal data are needed for reliability validation.

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Year:  2010        PMID: 20589888     DOI: 10.1002/mus.21707

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


  30 in total

1.  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

2.  Spatial variation of compound muscle action potentials across human gastrocnemius medialis.

Authors:  Taian M Vieira; Alberto Botter; Marco A Minetto; Emma F Hodson-Tole
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

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

Review 4.  Clinical Measures of Disease Progression in Amyotrophic Lateral Sclerosis.

Authors:  Seward B Rutkove
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

5.  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

Review 6.  ALS biomarkers for therapy development: State of the field and future directions.

Authors:  Michael Benatar; Kevin Boylan; Andreas Jeromin; Seward B Rutkove; James Berry; Nazem Atassi; Lucie Bruijn
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

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

Review 8.  Assessment of Motor Units in Neuromuscular Disease.

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

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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