Literature DB >> 29939177

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

Anna B Jacobsen1, Hugh Bostock2, Hatice Tankisi3.   

Abstract

Like other methods for motor unit number estimation (MUNE), compound muscle action potential (CMAP) scan MUNE (MScan) is a non-invasive electrophysiologic method to estimate the number of functioning motor units in a muscle. MUNE is an important tool for the assessment of neuropathies and neuronopathies. Unlike most MUNE methods in use, MScan assesses all the motor units in a muscle, by fitting a model to a detailed stimulus-response curve, or CMAP scan. It thereby avoids the bias inherent in all MUNE methods based on extrapolating from a small sample of units. Like 'Bayesian MUNE,' MScan analysis works by fitting a model, made up of motor units with different amplitudes, thresholds, and threshold variabilities, but the fitting method is quite different, and completed within five minutes, rather than several hours. The MScan off-line analysis works in two stages: first, a preliminary model is generated based on the slope and variance of the points in the scan, and second, this model is then refined by adjusting all the parameters to improve the fit between the original scan and scans generated by the model. This new method has been tested for reproducibility and recording time on 22 amyotrophic lateral sclerosis (ALS) patients and 20 healthy controls, with each test repeated twice by two blinded physicians. MScan showed excellent intra- and inter-rater reproducibility with ICC values of >0.98 and a coefficient of variation averaging 12.3 ± 1.6%. There was no difference in the intra-rater reproducibility between the two observers. Average recording time was 6.27 ± 0.27 min. This protocol describes how to record a CMAP scan and how to use the MScan software to derive an estimate of the number and sizes of the functioning motor units. MScan is a fast, convenient, and reproducible method, which may be helpful in diagnoses and monitoring disease progression in neuromuscular disorders.

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Year:  2018        PMID: 29939177      PMCID: PMC6101587          DOI: 10.3791/56805

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  19 in total

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Authors:  Catherine Lomen-Hoerth; Michael P Slawnych
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3.  REMARKS ON THE FOREGOING LETTER.

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4.  CMAP scan discontinuities: automated detection and relation to motor unit loss.

Authors:  B T H M Sleutjes; I Montfoort; E M Maathuis; J Drenthen; P A van Doorn; G H Visser; J H Blok
Journal:  Clin Neurophysiol       Date:  2013-08-28       Impact factor: 3.708

5.  Reproducibility, and sensitivity to motor unit loss in amyotrophic lateral sclerosis, of a novel MUNE method: MScanFit MUNE.

Authors:  A B Jacobsen; H Bostock; A Fuglsang-Frederiksen; L Duez; S Beniczky; A T Møller; J U Blicher; H Tankisi
Journal:  Clin Neurophysiol       Date:  2017-04-09       Impact factor: 3.708

Review 6.  Motor unit number estimation: a technology and literature review.

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8.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

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3.  Motor Unit Number Estimation (MUNE) Free of Electrical Stimulation or M Wave Recording: Feasibility and Challenges.

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5.  Motor unit integrity in multifocal motor neuropathy: A systematic evaluation with CMAP scans.

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6.  Motor unit changes in children with symptomatic spinal muscular atrophy treated with nusinersen.

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7.  CMAP Scan Examination of the First Dorsal Interosseous Muscle After Spinal Cord Injury.

Authors:  Ya Zong; Zhiyuan Lu; Maoqi Chen; Xiaoyan Li; Argyrios Stampas; Lianfu Deng; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-06-30       Impact factor: 3.802

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