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Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials

Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Fi...

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Detalles Bibliográficos
Autores principales: Zschorlich, Volker R., Qi, Fengxue, Wolff, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469458/
https://www.ncbi.nlm.nih.gov/pubmed/34573140
http://dx.doi.org/10.3390/brainsci11091118
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author Zschorlich, Volker R.
Qi, Fengxue
Wolff, Norbert
author_facet Zschorlich, Volker R.
Qi, Fengxue
Wolff, Norbert
author_sort Zschorlich, Volker R.
collection PubMed
description Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Filtering of extensor carpi radialis MEPs with transient signal characteristics of 20 subjects was examined. The effects of a 1st-order Butterworth high-pass filter (HPF) with different cut-off frequencies 1 Hz, 20 Hz, 40 Hz, and 80 Hz and a 5 Hz Butterworth high-pass filter with degrees 1st, 2nd, 4th, 8th-order are investigated for the filter output. Results: The filtering of the MEPs with an inappropriate filter setting led to distortions on the parameters peak-to-peak amplitudes of the MEP (MEP(pp)) and the absolute integral of the MEP (MEP(area)). The lowest distortions of all of the examined filter parameters were revealed after filtering with the lowest filter order and the lowest cut-off frequency. The 1st-order 1 Hz HPF calculation results in a difference of −0.53% (p < 0.001) for the MEPpp and −1.94% (p < 0.001) for the MEParea. Significance: Reproducibility is a major concern in science, including brain stimulation research. Only the filtering of the MEPs with appropriate filter settings led to mostly undistorted MEPs.
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spelling pubmed-84694582021-09-27 Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials Zschorlich, Volker R. Qi, Fengxue Wolff, Norbert Brain Sci Article Background: Brain stimulation motor-evoked potentials (MEPs) are transient signals and not periodic signals, and thus, they differ significantly in their properties from classical surface electromyograms. Unsuitable pre-processing of MEPs due to inappropriate filter settings leads to distortions. Filtering of extensor carpi radialis MEPs with transient signal characteristics of 20 subjects was examined. The effects of a 1st-order Butterworth high-pass filter (HPF) with different cut-off frequencies 1 Hz, 20 Hz, 40 Hz, and 80 Hz and a 5 Hz Butterworth high-pass filter with degrees 1st, 2nd, 4th, 8th-order are investigated for the filter output. Results: The filtering of the MEPs with an inappropriate filter setting led to distortions on the parameters peak-to-peak amplitudes of the MEP (MEP(pp)) and the absolute integral of the MEP (MEP(area)). The lowest distortions of all of the examined filter parameters were revealed after filtering with the lowest filter order and the lowest cut-off frequency. The 1st-order 1 Hz HPF calculation results in a difference of −0.53% (p < 0.001) for the MEPpp and −1.94% (p < 0.001) for the MEParea. Significance: Reproducibility is a major concern in science, including brain stimulation research. Only the filtering of the MEPs with appropriate filter settings led to mostly undistorted MEPs. MDPI 2021-08-24 /pmc/articles/PMC8469458/ /pubmed/34573140 http://dx.doi.org/10.3390/brainsci11091118 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zschorlich, Volker R.
Qi, Fengxue
Wolff, Norbert
Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title_full Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title_fullStr Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title_full_unstemmed Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title_short Comparing Different Filter-Parameter for Pre-Processing of Brain-Stimulation Evoked Motor Potentials
title_sort comparing different filter-parameter for pre-processing of brain-stimulation evoked motor potentials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469458/
https://www.ncbi.nlm.nih.gov/pubmed/34573140
http://dx.doi.org/10.3390/brainsci11091118
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