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Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain
The goal of this study was to capture the electroencephalographic signature of experimentally induced pain and pain-modulating mechanisms after painful peripheral electrical stimulation to determine one or a selected group of electrodes at a specific time point with a specific frequency range. In th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697445/ https://www.ncbi.nlm.nih.gov/pubmed/29180894 http://dx.doi.org/10.2147/JPR.S145783 |
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author | Goudman, Lisa Laton, Jorne Brouns, Raf Nagels, Guy Huysmans, Eva Buyl, Ronald Ickmans, Kelly Nijs, Jo Moens, Maarten |
author_facet | Goudman, Lisa Laton, Jorne Brouns, Raf Nagels, Guy Huysmans, Eva Buyl, Ronald Ickmans, Kelly Nijs, Jo Moens, Maarten |
author_sort | Goudman, Lisa |
collection | PubMed |
description | The goal of this study was to capture the electroencephalographic signature of experimentally induced pain and pain-modulating mechanisms after painful peripheral electrical stimulation to determine one or a selected group of electrodes at a specific time point with a specific frequency range. In the first experiment, ten healthy participants were exposed to stimulation of the right median nerve while registering brain activity using 32-channel electroencephalography. Electrical stimulations were organized in four blocks of 20 stimuli with four intensities – 100%, 120%, 140%, and 160% – of the electrical pain threshold. In the second experiment, 15 healthy participants received electrical stimulation on the dominant median nerve before and during the application of a second painful stimulus. Raw data were converted into the time–frequency domain by applying a continuous wavelet transform. Separated domain information was extracted by calculating Parafac models. The results demonstrated that it is possible to capture a reproducible cortical neural response after painful electrical stimulation, more specifically at 250 milliseconds poststimulus, at the midline electrodes Cz and FCz with predominant δ-oscillations. The signature of the top-down nociceptive inhibitory mechanisms is δ-activity at 235 ms poststimulus at the prefrontal electrodes. This study presents a methodology to overcome the a priori determination of the regions of interest to analyze the brain response after painful electrical stimulation. |
format | Online Article Text |
id | pubmed-5697445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56974452017-11-27 Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain Goudman, Lisa Laton, Jorne Brouns, Raf Nagels, Guy Huysmans, Eva Buyl, Ronald Ickmans, Kelly Nijs, Jo Moens, Maarten J Pain Res Original Research The goal of this study was to capture the electroencephalographic signature of experimentally induced pain and pain-modulating mechanisms after painful peripheral electrical stimulation to determine one or a selected group of electrodes at a specific time point with a specific frequency range. In the first experiment, ten healthy participants were exposed to stimulation of the right median nerve while registering brain activity using 32-channel electroencephalography. Electrical stimulations were organized in four blocks of 20 stimuli with four intensities – 100%, 120%, 140%, and 160% – of the electrical pain threshold. In the second experiment, 15 healthy participants received electrical stimulation on the dominant median nerve before and during the application of a second painful stimulus. Raw data were converted into the time–frequency domain by applying a continuous wavelet transform. Separated domain information was extracted by calculating Parafac models. The results demonstrated that it is possible to capture a reproducible cortical neural response after painful electrical stimulation, more specifically at 250 milliseconds poststimulus, at the midline electrodes Cz and FCz with predominant δ-oscillations. The signature of the top-down nociceptive inhibitory mechanisms is δ-activity at 235 ms poststimulus at the prefrontal electrodes. This study presents a methodology to overcome the a priori determination of the regions of interest to analyze the brain response after painful electrical stimulation. Dove Medical Press 2017-11-15 /pmc/articles/PMC5697445/ /pubmed/29180894 http://dx.doi.org/10.2147/JPR.S145783 Text en © 2017 Goudman et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Goudman, Lisa Laton, Jorne Brouns, Raf Nagels, Guy Huysmans, Eva Buyl, Ronald Ickmans, Kelly Nijs, Jo Moens, Maarten Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title | Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title_full | Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title_fullStr | Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title_full_unstemmed | Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title_short | Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
title_sort | cortical mapping of painful electrical stimulation by quantitative electroencephalography: unraveling the time–frequency–channel domain |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697445/ https://www.ncbi.nlm.nih.gov/pubmed/29180894 http://dx.doi.org/10.2147/JPR.S145783 |
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