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A neural mass model of cross frequency coupling

Electrophysiological signals of cortical activity show a range of possible frequency and amplitude modulations, both within and across regions, collectively known as cross-frequency coupling. To investigate whether these modulations could be considered as manifestations of the same underlying mechan...

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Autores principales: Chehelcheraghi, Mojtaba, van Leeuwen, Cees, Steur, Erik, Nakatani, Chie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381784/
https://www.ncbi.nlm.nih.gov/pubmed/28380064
http://dx.doi.org/10.1371/journal.pone.0173776
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author Chehelcheraghi, Mojtaba
van Leeuwen, Cees
Steur, Erik
Nakatani, Chie
author_facet Chehelcheraghi, Mojtaba
van Leeuwen, Cees
Steur, Erik
Nakatani, Chie
author_sort Chehelcheraghi, Mojtaba
collection PubMed
description Electrophysiological signals of cortical activity show a range of possible frequency and amplitude modulations, both within and across regions, collectively known as cross-frequency coupling. To investigate whether these modulations could be considered as manifestations of the same underlying mechanism, we developed a neural mass model. The model provides five out of the theoretically proposed six different coupling types. Within model components, slow and fast activity engage in phase-frequency coupling in conditions of low ambient noise level and with high noise level engage in phase-amplitude coupling. Between model components, these couplings can be coordinated via slow activity, giving rise to more complex modulations. The model, thus, provides a coherent account of cross-frequency coupling, both within and between components, with which regional and cross-regional frequency and amplitude modulations could be addressed.
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spelling pubmed-53817842017-04-19 A neural mass model of cross frequency coupling Chehelcheraghi, Mojtaba van Leeuwen, Cees Steur, Erik Nakatani, Chie PLoS One Research Article Electrophysiological signals of cortical activity show a range of possible frequency and amplitude modulations, both within and across regions, collectively known as cross-frequency coupling. To investigate whether these modulations could be considered as manifestations of the same underlying mechanism, we developed a neural mass model. The model provides five out of the theoretically proposed six different coupling types. Within model components, slow and fast activity engage in phase-frequency coupling in conditions of low ambient noise level and with high noise level engage in phase-amplitude coupling. Between model components, these couplings can be coordinated via slow activity, giving rise to more complex modulations. The model, thus, provides a coherent account of cross-frequency coupling, both within and between components, with which regional and cross-regional frequency and amplitude modulations could be addressed. Public Library of Science 2017-04-05 /pmc/articles/PMC5381784/ /pubmed/28380064 http://dx.doi.org/10.1371/journal.pone.0173776 Text en © 2017 Chehelcheraghi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chehelcheraghi, Mojtaba
van Leeuwen, Cees
Steur, Erik
Nakatani, Chie
A neural mass model of cross frequency coupling
title A neural mass model of cross frequency coupling
title_full A neural mass model of cross frequency coupling
title_fullStr A neural mass model of cross frequency coupling
title_full_unstemmed A neural mass model of cross frequency coupling
title_short A neural mass model of cross frequency coupling
title_sort neural mass model of cross frequency coupling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381784/
https://www.ncbi.nlm.nih.gov/pubmed/28380064
http://dx.doi.org/10.1371/journal.pone.0173776
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