Publication:
Automatic detection of F waves and F-MUNE in two types of motor neuron diseases

dc.contributor.authorOğuz-Akarsu, Emel
dc.contributor.authorŞirin, Nermin Görkem
dc.contributor.authorArtuğ, Tuğrul
dc.contributor.authorErbaş, Bahar
dc.contributor.authorOrhan, Elif Kocasoy
dc.contributor.authorİdrisoğlu, Halil Atilla
dc.contributor.authorKetenci, Ayşegül
dc.contributor.authorBaslo, Mehmet Barış
dc.contributor.authorÖge, Ali Emre
dc.contributor.buuauthorOĞUZ AKARSU, EMEL
dc.contributor.departmentTıp Fakültesi
dc.contributor.departmentNöroloji Ana Bilim Dalı
dc.contributor.researcheridIZQ-0662-2023
dc.date.accessioned2024-11-26T12:02:33Z
dc.date.available2024-11-26T12:02:33Z
dc.date.issued2022-02-01
dc.description.abstractIntroduction/Aims Motor unit number estimation by F waves (F-MUNE) is an uncommonly used MUNE technique. Our aim in this study was to assess the sensitivity of F-MUNE values elicited with newly developed software in motor neuron diseases. Methods F waves were recorded by 300 submaximal stimuli from abductor digiti minimi and abductor pollicis brevis muscles of 35 patients with amyotrophic lateral sclerosis, 18 with previous poliomyelitis, and 20 controls. The software determined the surface motor unit action potentials (sMUAPs) and calculated the F-MUNE values. Compound muscle action potential scans were also recorded to obtain MScanFit. Results The sMUAP amplitudes were higher and F-MUNE values were lower in both muscles of the patients when compared with controls. F-MUNE values could distinguish patients from controls. Significant correlations were found between F-MUNE and MScanFit in the patient groups. Discussion The new F-MUNE software offered promising results in revealing motor unit loss caused by motor neuron diseases.
dc.identifier.doi10.1002/mus.27494
dc.identifier.endpage432
dc.identifier.issn0148-639X
dc.identifier.issue4
dc.identifier.startpage422
dc.identifier.urihttps://doi.org/10.1002/mus.27494
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1002/mus.27494
dc.identifier.urihttps://hdl.handle.net/11452/48515
dc.identifier.volume65
dc.identifier.wos000748890400001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherWiley
dc.relation.journalMuscle & Nerve
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectUnit number estimation
dc.subjectAmyotrophic-lateral-sclerosis
dc.subjectFollow-up
dc.subjectProgression
dc.subjectGeneration
dc.subjectAmyotrophic lateral sclerosis
dc.subjectF wave
dc.subjectMotor unit number estimation
dc.subjectMscanfit
dc.subjectPoliomyelitis
dc.subjectSignal processing
dc.subjectNeurosciences & neurology
dc.titleAutomatic detection of F waves and F-MUNE in two types of motor neuron diseases
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Nöroloji Ana Bilim Dalı
relation.isAuthorOfPublicatione99cbd03-5b0f-48a4-be93-bf1f4ddc8cc2
relation.isAuthorOfPublication.latestForDiscoverye99cbd03-5b0f-48a4-be93-bf1f4ddc8cc2

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