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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Wolters Kluwer Medknow Publications
2021-01-01
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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 |
_version_ |
1721279950305099776 |