Literature DB >> 11908235

Motor unit number estimation in neurologic disease.

Jeremy M Shefner1, Clifton L Gooch.   

Abstract

Since its introduction 30 years ago, MUNE technologies have been increasingly refined and applied to a wide variety of neuromuscular disorders. Differences of opinion remain among MUNE investigators as to which method should be used; however, statistical and MPS MUNE currently enjoy the most widespread use. A number of methodological issues remain, including the development of detailed universal standards for each technique and modifications for the further enhancement of reproducibility. These issues are the subject of ongoing investigation. However, despite technical variability, the MUNE values obtained with different methods show good agreement, both in studies of healthy subjects and in patients with a variety of neurogenic processes. MUNE has been most successfully applied to patients with ALS and in animal models of motor neuron disease, providing significant insight into the pathophysiology of these disorders. These techniques are being increasingly incorporated into clinical therapeutic trials. MUNE is a technology offering important promise in the study of neuromuscular disease, enabling the collection of novel data in the living patient unobtainable by any other method.

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Year:  2002        PMID: 11908235

Source DB:  PubMed          Journal:  Adv Neurol        ISSN: 0091-3952


  3 in total

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Authors:  Merit Cudkowicz; Muhammad Qureshi; Jeremy Shefner
Journal:  NeuroRx       Date:  2004-04

2.  EMG-force relation in the first dorsal interosseous muscle of patients with amyotrophic lateral sclerosis.

Authors:  Faezeh Jahanmiri-Nezhad; Xiaogang Hu; Nina L Suresh; William Z Rymer; Ping Zhou
Journal:  NeuroRehabilitation       Date:  2014-01-01       Impact factor: 2.138

3.  Neuromuscular junction integrity after chronic nerve compression injury.

Authors:  Tahseen Mozaffar; Erika Strandberg; Kazuko Abe; Lutz G Hilgenberg; Martin A Smith; Ranjan Gupta
Journal:  J Orthop Res       Date:  2009-01       Impact factor: 3.494

  3 in total

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