MScanFit motor unit number estimation: A novel method for clinics and research

Motor unit number estimation (MUNE) methods have been found to be better suited than any other electrophysiological test to study the degree and time course of lower motor unit loss. However, MUNE methods have not yet been implemented in clinics and research. This may be because an ideal method has...

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Main Author: Hatice Tankisi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Neurological Sciences and Neurophysiology
Subjects:
Online Access:http://www.nsnjournal.org/article.asp?issn=2636-865X;year=2021;volume=38;issue=1;spage=1;epage=5;aulast=Tankisi
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spelling doaj-72b002b3c9bb40bcbeaf168af64f0ad32021-07-27T04:48:47ZengWolters Kluwer Medknow PublicationsNeurological Sciences and Neurophysiology2636-865X2021-01-013811510.4103/nsn.nsn_30_21MScanFit motor unit number estimation: A novel method for clinics and researchHatice TankisiMotor unit number estimation (MUNE) methods have been found to be better suited than any other electrophysiological test to study the degree and time course of lower motor unit loss. However, MUNE methods have not yet been implemented in clinics and research. This may be because an ideal method has not been developed yet. This review aims to give an overview of the strengths and limitations of the existing MUNE methods, why a new method was necessary and how the novel MScanFit MUNE can overcome some of the limitations that the other methods had. In the end, the existing literature MScanFit applied has been summarised.http://www.nsnjournal.org/article.asp?issn=2636-865X;year=2021;volume=38;issue=1;spage=1;epage=5;aulast=Tankisielectrodiagnosismotor unit number estimationmscanfit
collection DOAJ
language English
format Article
sources DOAJ
author Hatice Tankisi
spellingShingle Hatice Tankisi
MScanFit motor unit number estimation: A novel method for clinics and research
Neurological Sciences and Neurophysiology
electrodiagnosis
motor unit number estimation
mscanfit
author_facet Hatice Tankisi
author_sort Hatice Tankisi
title MScanFit motor unit number estimation: A novel method for clinics and research
title_short MScanFit motor unit number estimation: A novel method for clinics and research
title_full MScanFit motor unit number estimation: A novel method for clinics and research
title_fullStr MScanFit motor unit number estimation: A novel method for clinics and research
title_full_unstemmed MScanFit motor unit number estimation: A novel method for clinics and research
title_sort mscanfit motor unit number estimation: a novel method for clinics and research
publisher Wolters Kluwer Medknow Publications
series Neurological Sciences and Neurophysiology
issn 2636-865X
publishDate 2021-01-01
description Motor unit number estimation (MUNE) methods have been found to be better suited than any other electrophysiological test to study the degree and time course of lower motor unit loss. However, MUNE methods have not yet been implemented in clinics and research. This may be because an ideal method has not been developed yet. This review aims to give an overview of the strengths and limitations of the existing MUNE methods, why a new method was necessary and how the novel MScanFit MUNE can overcome some of the limitations that the other methods had. In the end, the existing literature MScanFit applied has been summarised.
topic electrodiagnosis
motor unit number estimation
mscanfit
url http://www.nsnjournal.org/article.asp?issn=2636-865X;year=2021;volume=38;issue=1;spage=1;epage=5;aulast=Tankisi
work_keys_str_mv AT haticetankisi mscanfitmotorunitnumberestimationanovelmethodforclinicsandresearch
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