F Wave Analyzer, a system for repeater F-waves detection: Application in patients with amyotrophic lateral sclerosis

Veltsista, Dimitra; Papapavlou, Chris; Chroni, Elisabeth

doi:10.1016/j.clinph.2019.08.002

Cited by 13 publications

(18 citation statements)

References 26 publications

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“…However, they used their method in healthy controls and patients with ALS for calculating repeater neuron and Frep indices, but not MUNE values. 12,20 In the present study, F-MUNE values of controls were lower than observed in previous F-MUNE studies. 7,17,19 Moreover, our F-MUNE values, elicited both in controls and patients with ALS, were lower than those seen with other MUNE methods, 11 but were similar to those with the new MUNE method, MScanFit, used in the present study.…”

Section: Roc Analyses Done For Mscanfit and F-mune Show Thatcontrasting

confidence: 77%

“…This finding is in accordance with previous studies assessing Freps using supramaximal stimuli. 15,20,42 The exact mechanism underlying the high frequency of Freps in ALS is elusive but both upper and lower motor neuron dysfunction have been implicated. 15,43,44 The negative correlation between F-wave frequency and frequency of Freps seems at first to help extract a sufficient number of sMUAPs in ALS.…”

Section: Roc Analyses Done For Mscanfit and F-mune Show Thatmentioning

confidence: 99%

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Automatic detection of F waves and F‐MUNE in two types of motor neuron diseases

et al. 2022

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Introduction/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.

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Section: Roc Analyses Done For Mscanfit and F-mune Show Thatcontrasting

confidence: 77%

Section: Roc Analyses Done For Mscanfit and F-mune Show Thatmentioning

confidence: 99%

Automatic detection of F waves and F‐MUNE in two types of motor neuron diseases

et al. 2022

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“…F wave mainly reflects the conduction of proximal motor nerve and the function of anterior horn cells, its wave rate reflects the excitability of anterior horn cells, and the central latency to and from the spinal cord reflects the whole pathway [ 20 , 21 ]. The decrease of F wave output rate is related to the reduction and degeneration of functional cells in the anterior horn of the spinal cord, resulting in the decrease of cell excitability and the reduction of return impulse [ 22 ]. The prolongation of F wave latency indirectly indicates the severity of damage to the anterior horn or proximal end of the spinal cord.…”

Section: Discussionmentioning

confidence: 99%

Study on the Diagnostic Value of Neuroelectrophysiological Examination in Patients with Amyotrophic Lateral Sclerosis

Ding

Fan²

2022

Computational and Mathematical Methods in Medicine

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Objective. Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with unknown causes involving upper and lower motor neurons. Our study aimed to explore the diagnostic value of neuroelectrophysiological examination in patients with amyotrophic lateral sclerosis. Methods. A total of 64 patients admitted to our hospital from January 2014 to December 2020 were selected as ALS group. Additionally, 64 normal healthy people in the same period were selected as the control group. Electrophysiological tests were performed on all personnel involved in the study, and the results and parameter changes of different personnel were compared and analyzed. Results. There was a statistical difference between the EMG data of clinically confirmed ALS and the proposed ALS and possible ALS ( p < 0.05 ). The abnormality of confirmed ALS was particularly obvious, and the overall abnormal rate of EMG in ALS was 85%. The CMCT of the upper and lower limbs of clinically diagnosed ALS, suspected ALS, and possible ALS were longer than that of the normal group ( p < 0.05 ). There was no significant statistical difference between clinically diagnosed ALS and suspected ALS ( p > 0.05 ), and there was a difference between clinically diagnosed ALS and possible ALS ( p < 0.05 ). In ALS group, the frequency of F wave decreased, which may be related to the involvement of F wave conduction pathway and the degree of lower motor neuron involvement ( p < 0.05 ). In addition, the amplitudes of F and H waves increased, which was related to the involvement of upper motor neurons ( p < 0.05 ). In ALS group, SCV was hardly involved, and CMAP decreased significantly, which was positively correlated with the degree of muscular atrophy and muscle strength decline ( p < 0.05 ). The sensitivity of electrophysiological detection was 76.56%, the specificity was 78.33%, and the AUC was 0.8578. Conclusion. Patients with clinically suspected ALS should undergo electrophysiological testing as soon as possible, which is conducive to the early diagnosis and differential diagnosis of ALS. This trial is registered with ChiCTR2100046535.

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“…This trend was repeated in our findings in the peroneal nerve compared to our previous study, which was based on visual inspection(Chroni et al, 2012). '(Veltsista D. et al, 2019; published in Clinical Neurophysiology and reproduced here)…”

supporting

confidence: 85%

“…With this intention, the next step will be to refine the F Wave Analyzer software and standardize the procedure, which will be available free of charge to use by every interested scientist for off-line analysis of Fwave data.' (Veltsista D. et al, 2019.…”

Section: Amyotrophic Lateral Sclerosis (Als)mentioning

confidence: 99%

Repeater F-waves in neuronopathies and neuropathies

Veltsista¹,

Βελτσίστα²

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ΣΚΟΠΟΣ: Διερεύνηση της κλινικής χρησιμότητας των επαναλαμβανόμενων F-κυμάτων ή repeater F-waves (Freps) σε πλαγία μυατροφική σκλήρυνση (ALS), απομυελινωτικές πολυνευροπάθειες (PN-D) και αξονικές πολυνευροπάθειες (PN-A), με τη χρήση ενός συστήματος αυτοματοποιημένης ανάλυσης ηλεκτρονικού υπολογιστή (F Wave Analyzer). ΜΕΘΟΔΟΣ: Σαράντα συνεχόμενα F κύματα καταγράφηκαν από το ωλένιο και περονιαίο νεύρο 52 ασθενών με ALS και 52 υγιών μαρτύρων. F κύματα του ωλενίου νεύρου μελετήθηκαν σε 25 PN-D και 21 PN-A ασθενείς και όμοιους μάρτυρες. Τα δεδομένα εισήχθησαν στο F Wave Analyzer, που αναγνωρίζει και ομαδοποιεί τους Freps. Οι παράμετροι των Freps και των μη επαναλαμβανόμενων F κυμάτων ή non repeater F-waves (Fnonreps) συγκρίθηκαν. ΑΠΟΤΕΛΕΣΜΑΤΑ: Ο συνολικός αριθμός των επαναλαμβανόμενων νευρώνων (repeated neurons), η συχνότητα των Freps (100xFreps/40 ερεθίσματα) και ο Δείκτης Συνόλου Freps (100xFreps/συνολικό αριθμό των F-κυμάτων) ήταν σημαντικά υψηλότερος σε όλες τις ομάδες ασθενών σε σύγκριση με τους υγιείς μάρτυρες (P ≤ 0.005). Οι λανθάνοντες χρόνοι των Freps ήταν εντός του φάσματος των λανθανόντων χρόνων των Fnonreps σε όλες τις υπό μελέτη ομάδες, με εξαίρεση τους μέγιστους λανθάνοντες χρόνους στην ομάδα ALS που ήταν παρατεταμένοι. Δεν υπήρχαν σταθερές διαφορές σε παραμέτρους του ύψους και εμβαδού μεταξύ Freps και Fnonreps, σε όλες τις ομάδες. ΣΥΜΠΕΡΑΣΜΑ: Καμία παράμετρος δεν είναι παθογνωμική για συγκεκριμένη διεργασία. Οι μηχανισμοί παραγωγής των ‘repeater’ F-κυμάτων πιθανώς διαφέρουν σε νευρωνοπάθειες και νευροπάθειες. Συνολικά, η αυτοματοποιημένη ανάλυση βοηθά στον ακριβή και γρήγορο εντοπισμό των Freps και μπορεί να είναι χρήσιμη στην κλινική πράξη. ΣΗΜΑΣΙΑ: Η ανάλυση των ‘repeater’ F-κυμάτων μπορεί να προσφέρει γνώσεις σχετικά με την παθοφυσιολογία των παθήσεων των νεύρων και να χρησιμοποιηθεί στην παρακολούθηση ασθενών σε κλινικές δοκιμές φαρμάκων.

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F Wave Analyzer, a system for repeater F-waves detection: Application in patients with amyotrophic lateral sclerosis

Cited by 13 publications

References 26 publications

Automatic detection of F waves and F‐MUNE in two types of motor neuron diseases

Automatic detection of F waves and F‐MUNE in two types of motor neuron diseases

Study on the Diagnostic Value of Neuroelectrophysiological Examination in Patients with Amyotrophic Lateral Sclerosis

Repeater F-waves in neuronopathies and neuropathies

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