Literature DB >> 12929186

Statistical motor unit number estimation: from theory to practice.

Catherine Lomen-Hoerth1, Michael P Slawnych.   

Abstract

Statistical motor unit number estimation (MUNE) is one of several experimental techniques used to estimate the number of lower motor neurons innervating a given muscle. All are fairly reproducible and have been applied successfully in monitoring neurogenic disease progression. Quantitating the number of lower motor neurons is important, since the compound muscle action potential (CMAP) and strength may not change as rapidly over time due to the confounding effect of reinnervation. MUNE techniques differ in the way they obtain samples of surface-recorded motor unit potentials (SMUP). Statistical MUNE is based on Poisson statistics, uses surface stimulation, and is useful in testing distal, superficial nerves. This review focuses on the theory behind the development of the technique, critiques the publications resulting from applying the technique in control and disease subjects, and discusses the future developments needed for clinical utility.

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Year:  2003        PMID: 12929186     DOI: 10.1002/mus.10351

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


  6 in total

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

Authors:  Anna B Jacobsen; Hugh Bostock; Hatice Tankisi
Journal:  J Vis Exp       Date:  2018-06-07       Impact factor: 1.355

Review 2.  Electrodiagnosis in persons with amyotrophic lateral sclerosis.

Authors:  Nanette C Joyce; Gregory T Carter
Journal:  PM R       Date:  2013-03-21       Impact factor: 2.298

3.  Motor unit number estimation in evaluating disease progression in patients with amyotrophic lateral sclerosis.

Authors:  Suk-Won Ahn; Su-Hyun Kim; Dong-Hoon Oh; Sung-Min Kim; Kyung Seok Park; Yoon-Ho Hong; Oh-Sang Kwon; Jung-Joon Sung; Kwang-Woo Lee
Journal:  J Korean Med Sci       Date:  2010-08-14       Impact factor: 2.153

4.  Standard and modified statistical MUNE evaluations in spinal-bulbar muscular atrophy.

Authors:  Tanya J Lehky; Cheun Ju Chen; Nicholas A di Prospero; Lindsay E Rhodes; Kenneth Fischbeck; Mary Kay Floeter
Journal:  Muscle Nerve       Date:  2009-11       Impact factor: 3.217

5.  Non-invasive electromyographic estimation of motor unit number in the external anal sphincter of the rat.

Authors:  Chuan Zhang; Alvaro Munoz; H Henry Lai; Timothy Boone; Yingchun Zhang
Journal:  Neurourol Urodyn       Date:  2017-09-08       Impact factor: 2.696

Review 6.  Biomarkers in rare disorders: the experience with spinal muscular atrophy.

Authors:  Francesco D Tiziano; Giovanni Neri; Christina Brahe
Journal:  Int J Mol Sci       Date:  2010-12-24       Impact factor: 5.923

  6 in total

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