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Synchronization dynamics and evidence for a repertoire of network states in resting EEG

Intrinsically driven neural activity generated at rest exhibits complex spatiotemporal dynamics characterized by patterns of synchronization across distant brain regions. Mounting evidence suggests that these patterns exhibit fluctuations and nonstationarity at multiple time scales. Resting-state el...

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Autores principales: Betzel, Richard F., Erickson, Molly A., Abell, Malene, O'Donnell, Brian F., Hetrick, William P., Sporns, Olaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460532/
https://www.ncbi.nlm.nih.gov/pubmed/23060785
http://dx.doi.org/10.3389/fncom.2012.00074
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author Betzel, Richard F.
Erickson, Molly A.
Abell, Malene
O'Donnell, Brian F.
Hetrick, William P.
Sporns, Olaf
author_facet Betzel, Richard F.
Erickson, Molly A.
Abell, Malene
O'Donnell, Brian F.
Hetrick, William P.
Sporns, Olaf
author_sort Betzel, Richard F.
collection PubMed
description Intrinsically driven neural activity generated at rest exhibits complex spatiotemporal dynamics characterized by patterns of synchronization across distant brain regions. Mounting evidence suggests that these patterns exhibit fluctuations and nonstationarity at multiple time scales. Resting-state electroencephalographic (EEG) recordings were examined in 12 young adults for changes in synchronization patterns on a fast time scale in the range of tens to hundreds of milliseconds. Results revealed that EEG dynamics continuously underwent rapid transitions between intermittently stable states. Numerous approximate recurrences of states were observed within single recording epochs, across different epochs separated by longer times, and between participants. For broadband (4–30 Hz) data, a majority of states could be grouped into three families, suggesting the existence of a limited repertoire of core states that is continually revisited and shared across participants. Our results document the existence of fast synchronization dynamics iterating amongst a small set of core networks in the resting brain, complementing earlier findings of nonstationary dynamics in electromagnetic recordings and transient EEG microstates.
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spelling pubmed-34605322012-10-11 Synchronization dynamics and evidence for a repertoire of network states in resting EEG Betzel, Richard F. Erickson, Molly A. Abell, Malene O'Donnell, Brian F. Hetrick, William P. Sporns, Olaf Front Comput Neurosci Neuroscience Intrinsically driven neural activity generated at rest exhibits complex spatiotemporal dynamics characterized by patterns of synchronization across distant brain regions. Mounting evidence suggests that these patterns exhibit fluctuations and nonstationarity at multiple time scales. Resting-state electroencephalographic (EEG) recordings were examined in 12 young adults for changes in synchronization patterns on a fast time scale in the range of tens to hundreds of milliseconds. Results revealed that EEG dynamics continuously underwent rapid transitions between intermittently stable states. Numerous approximate recurrences of states were observed within single recording epochs, across different epochs separated by longer times, and between participants. For broadband (4–30 Hz) data, a majority of states could be grouped into three families, suggesting the existence of a limited repertoire of core states that is continually revisited and shared across participants. Our results document the existence of fast synchronization dynamics iterating amongst a small set of core networks in the resting brain, complementing earlier findings of nonstationary dynamics in electromagnetic recordings and transient EEG microstates. Frontiers Media S.A. 2012-09-28 /pmc/articles/PMC3460532/ /pubmed/23060785 http://dx.doi.org/10.3389/fncom.2012.00074 Text en Copyright © 2012 Betzel, Erickson, Abell, O'Donnell, Hetrick and Sporns. http://www.frontiersin.org/licenseagreement 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
Betzel, Richard F.
Erickson, Molly A.
Abell, Malene
O'Donnell, Brian F.
Hetrick, William P.
Sporns, Olaf
Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title_full Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title_fullStr Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title_full_unstemmed Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title_short Synchronization dynamics and evidence for a repertoire of network states in resting EEG
title_sort synchronization dynamics and evidence for a repertoire of network states in resting eeg
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460532/
https://www.ncbi.nlm.nih.gov/pubmed/23060785
http://dx.doi.org/10.3389/fncom.2012.00074
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