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ECoG Beta Suppression and Modulation During Finger Extension and Flexion

Neural oscillations originate predominantly from interacting cortical neurons and consequently reflect aspects of cortical information processing. However, their functional role is not yet fully understood and their interpretation is debatable. Amplitude modulations (AMs) in alpha (8–12 Hz), beta (1...

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Autores principales: Unterweger, Julian, Seeber, Martin, Zanos, Stavros, Ojemann, Jeffrey G., Scherer, Reinhold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031656/
https://www.ncbi.nlm.nih.gov/pubmed/32116497
http://dx.doi.org/10.3389/fnins.2020.00035
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author Unterweger, Julian
Seeber, Martin
Zanos, Stavros
Ojemann, Jeffrey G.
Scherer, Reinhold
author_facet Unterweger, Julian
Seeber, Martin
Zanos, Stavros
Ojemann, Jeffrey G.
Scherer, Reinhold
author_sort Unterweger, Julian
collection PubMed
description Neural oscillations originate predominantly from interacting cortical neurons and consequently reflect aspects of cortical information processing. However, their functional role is not yet fully understood and their interpretation is debatable. Amplitude modulations (AMs) in alpha (8–12 Hz), beta (13–30 Hz), and high gamma (70–150 Hz) band in invasive electrocorticogram (ECoG) and non-invasive electroencephalogram (EEG) signals change with behavior. Alpha and beta band AMs are typically suppressed (desynchronized) during motor behavior, while high gamma AMs highly correlate with the behavior. These two phenomena are successfully used for functional brain mapping and brain-computer interface (BCI) applications. Recent research found movement-phase related AMs (MPA) also in high beta/low gamma (24–40 Hz) EEG rhythms. These MPAs were found by separating the suppressed AMs into sustained and dynamic components. Sustained AM components are those with frequencies that are lower than the motor behavior. Dynamic components those with frequencies higher than the behavior. In this paper, we study ECoG beta/low gamma band (12–30 Hz/30–42 Hz) AM during repetitive finger movements addressing the question whether or not MPAs can be found in ECoG beta band. Indeed, MPA in the 12–18 Hz and 18–24 Hz band were found. This additional information may lead to further improvements in ECoG-based prediction and reconstruction of motor behavior by combining high gamma AM and beta band MPA.
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spelling pubmed-70316562020-02-28 ECoG Beta Suppression and Modulation During Finger Extension and Flexion Unterweger, Julian Seeber, Martin Zanos, Stavros Ojemann, Jeffrey G. Scherer, Reinhold Front Neurosci Neuroscience Neural oscillations originate predominantly from interacting cortical neurons and consequently reflect aspects of cortical information processing. However, their functional role is not yet fully understood and their interpretation is debatable. Amplitude modulations (AMs) in alpha (8–12 Hz), beta (13–30 Hz), and high gamma (70–150 Hz) band in invasive electrocorticogram (ECoG) and non-invasive electroencephalogram (EEG) signals change with behavior. Alpha and beta band AMs are typically suppressed (desynchronized) during motor behavior, while high gamma AMs highly correlate with the behavior. These two phenomena are successfully used for functional brain mapping and brain-computer interface (BCI) applications. Recent research found movement-phase related AMs (MPA) also in high beta/low gamma (24–40 Hz) EEG rhythms. These MPAs were found by separating the suppressed AMs into sustained and dynamic components. Sustained AM components are those with frequencies that are lower than the motor behavior. Dynamic components those with frequencies higher than the behavior. In this paper, we study ECoG beta/low gamma band (12–30 Hz/30–42 Hz) AM during repetitive finger movements addressing the question whether or not MPAs can be found in ECoG beta band. Indeed, MPA in the 12–18 Hz and 18–24 Hz band were found. This additional information may lead to further improvements in ECoG-based prediction and reconstruction of motor behavior by combining high gamma AM and beta band MPA. Frontiers Media S.A. 2020-02-13 /pmc/articles/PMC7031656/ /pubmed/32116497 http://dx.doi.org/10.3389/fnins.2020.00035 Text en Copyright © 2020 Unterweger, Seeber, Zanos, Ojemann and Scherer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Unterweger, Julian
Seeber, Martin
Zanos, Stavros
Ojemann, Jeffrey G.
Scherer, Reinhold
ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title_full ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title_fullStr ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title_full_unstemmed ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title_short ECoG Beta Suppression and Modulation During Finger Extension and Flexion
title_sort ecog beta suppression and modulation during finger extension and flexion
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031656/
https://www.ncbi.nlm.nih.gov/pubmed/32116497
http://dx.doi.org/10.3389/fnins.2020.00035
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