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High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations

In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and above has become the focus of a growing body of work in MEG/EEG research. Unfortunately, high-frequency neural activity overlaps entirely with the spectral bandwidth of muscle activity (~20–300 Hz). It is becomi...

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Autor principal: Muthukumaraswamy, Suresh D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625857/
https://www.ncbi.nlm.nih.gov/pubmed/23596409
http://dx.doi.org/10.3389/fnhum.2013.00138
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author Muthukumaraswamy, Suresh D.
author_facet Muthukumaraswamy, Suresh D.
author_sort Muthukumaraswamy, Suresh D.
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description In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and above has become the focus of a growing body of work in MEG/EEG research. Unfortunately, high-frequency neural activity overlaps entirely with the spectral bandwidth of muscle activity (~20–300 Hz). It is becoming appreciated that artifacts of muscle activity may contaminate a number of non-invasive reports of high-frequency activity. In this review, the spectral, spatial, and temporal characteristics of muscle artifacts are compared with those described (so far) for high-frequency neural activity. In addition, several of the techniques that are being developed to help suppress muscle artifacts in MEG/EEG are reviewed. Suggestions are made for the collection, analysis, and presentation of experimental data with the aim of reducing the number of publications in the future that may contain muscle artifacts.
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spelling pubmed-36258572013-04-17 High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations Muthukumaraswamy, Suresh D. Front Hum Neurosci Neuroscience In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and above has become the focus of a growing body of work in MEG/EEG research. Unfortunately, high-frequency neural activity overlaps entirely with the spectral bandwidth of muscle activity (~20–300 Hz). It is becoming appreciated that artifacts of muscle activity may contaminate a number of non-invasive reports of high-frequency activity. In this review, the spectral, spatial, and temporal characteristics of muscle artifacts are compared with those described (so far) for high-frequency neural activity. In addition, several of the techniques that are being developed to help suppress muscle artifacts in MEG/EEG are reviewed. Suggestions are made for the collection, analysis, and presentation of experimental data with the aim of reducing the number of publications in the future that may contain muscle artifacts. Frontiers Media S.A. 2013-04-15 /pmc/articles/PMC3625857/ /pubmed/23596409 http://dx.doi.org/10.3389/fnhum.2013.00138 Text en Copyright © 2013 Muthukumaraswamy. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Muthukumaraswamy, Suresh D.
High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title_full High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title_fullStr High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title_full_unstemmed High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title_short High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
title_sort high-frequency brain activity and muscle artifacts in meg/eeg: a review and recommendations
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625857/
https://www.ncbi.nlm.nih.gov/pubmed/23596409
http://dx.doi.org/10.3389/fnhum.2013.00138
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