B T H M Sleutjes1, I Montfoort2, E M Maathuis2, J Drenthen3, P A van Doorn4, G H Visser5, J H Blok6. 1. Department of Clinical Neurophysiology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands. Electronic address: b.sleutjes@erasmusmc.nl. 2. Department of Clinical Neurophysiology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands. 3. Department of Clinical Neurophysiology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands; Department of Neurology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands. 4. Department of Neurology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands. 5. Department of Clinical Neurophysiology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands; Department of Clinical Neurophysiology, SEIN Heemstede, The Netherlands. 6. Department of Clinical Neurophysiology, Erasmus MC, University Medical Centre Rotterdam, The Netherlands; Department of Clinical Physics, Reinier de Graaf Groep Delft, The Netherlands.
Abstract
UNLABELLED: Objective To evaluate an automated method that extracts motor unit (MU) information from the CMAP scan, a high-detail stimulus-response curve recorded with surface EMG. Discontinuities in the CMAP scan are hypothesized to result from MU loss and reinnervation. METHODS: We introduce the parameter D50 to quantify CMAP scan discontinuities. D50 was compared with a previously developed manual score in 253 CMAP scans and with a simultaneously obtained motor unit number estimate (MUNE) in 173 CMAP scans. The effect of MU loss on D50 was determined with a simulation model. RESULTS: We found a high agreement (sensitivity=86.8%, specificity=96.6%) between D50 and the manual score. D50 and MUNE were significantly correlated below 80 MUs (r=0.65, n=68, p<0.001), but not when MUNE was larger than 120 MUs (r=0.23, n=59, p=0.08). CONCLUSIONS: Discontinuities in the CMAP scan as expressed by a decreased D50 are related to significant MU loss. The determination of D50 is objective, quantitative, and less time-consuming than both manual scoring and many existing MUNE methods. SIGNIFICANCE: D50 is potentially useful to monitor neurogenic disorders and moderate to severe MU loss.
UNLABELLED: Objective To evaluate an automated method that extracts motor unit (MU) information from the CMAP scan, a high-detail stimulus-response curve recorded with surface EMG. Discontinuities in the CMAP scan are hypothesized to result from MU loss and reinnervation. METHODS: We introduce the parameter D50 to quantify CMAP scan discontinuities. D50 was compared with a previously developed manual score in 253 CMAP scans and with a simultaneously obtained motor unit number estimate (MUNE) in 173 CMAP scans. The effect of MU loss on D50 was determined with a simulation model. RESULTS: We found a high agreement (sensitivity=86.8%, specificity=96.6%) between D50 and the manual score. D50 and MUNE were significantly correlated below 80 MUs (r=0.65, n=68, p<0.001), but not when MUNE was larger than 120 MUs (r=0.23, n=59, p=0.08). CONCLUSIONS: Discontinuities in the CMAP scan as expressed by a decreased D50 are related to significant MU loss. The determination of D50 is objective, quantitative, and less time-consuming than both manual scoring and many existing MUNE methods. SIGNIFICANCE: D50 is potentially useful to monitor neurogenic disorders and moderate to severe MU loss.
Authors: Judith Drenthen; Badrul Islam; Zhahirul Islam; Quazi D Mohammad; Ellen M Maathuis; Gerhard H Visser; Pieter A van Doorn; Joleen H Blok; Hubert P Endtz; Bart C Jacobs Journal: Muscle Nerve Date: 2021-02-02 Impact factor: 3.217
Authors: Diederik J L Stikvoort García; Maria O Kovalchuk; H Stephan Goedee; Leonard J van Schelven; Leonard H van den Berg; Hessel Franssen; Boudewijn T H M Sleutjes Journal: Muscle Nerve Date: 2021-12-16 Impact factor: 3.852
Authors: Emilio Geijo-Barrientos; Carlos Pastore-Olmedo; Pedro De Mingo; Miguel Blanquer; Joaquín Gómez Espuch; Francisca Iniesta; Natalia García Iniesta; Ana García-Hernández; Carlos Martín-Estefanía; Laura Barrios; José M Moraleda; Salvador Martínez Journal: Front Neurosci Date: 2020-03-24 Impact factor: 4.677