Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling

Abstract Recent research has found that the human sleep cycle is characterised by changes in spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation of the local neuronal dynamics underlying these changes. We used whole-brain computational modelling to study th...

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Autores principales: Beatrice M. Jobst, Rikkert Hindriks, Helmut Laufs, Enzo Tagliazucchi, Gerald Hahn, Adrián Ponce-Alvarez, Angus B. A. Stevner, Morten L. Kringelbach, Gustavo Deco
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/bb347e7be4c34247afc79a563803bf1a
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spelling oai:doaj.org-article:bb347e7be4c34247afc79a563803bf1a2021-12-02T12:32:02ZIncreased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling10.1038/s41598-017-04522-x2045-2322https://doaj.org/article/bb347e7be4c34247afc79a563803bf1a2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04522-xhttps://doaj.org/toc/2045-2322Abstract Recent research has found that the human sleep cycle is characterised by changes in spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation of the local neuronal dynamics underlying these changes. We used whole-brain computational modelling to study the differences in global brain functional connectivity and synchrony of fMRI activity in healthy humans during wakefulness and slow-wave sleep. We applied a whole-brain model based on the normal form of a supercritical Hopf bifurcation and studied the dynamical changes when adapting the bifurcation parameter for all brain nodes to best match wakefulness and slow-wave sleep. Furthermore, we analysed differences in effective connectivity between the two states. In addition to significant changes in functional connectivity, synchrony and metastability, this analysis revealed a significant shift of the global dynamic working point of brain dynamics, from the edge of the transition between damped to sustained oscillations during wakefulness, to a stable focus during slow-wave sleep. Moreover, we identified a significant global decrease in effective interactions during slow-wave sleep. These results suggest a mechanism for the empirical functional changes observed during slow-wave sleep, namely a global shift of the brain’s dynamic working point leading to increased stability and decreased effective connectivity.Beatrice M. JobstRikkert HindriksHelmut LaufsEnzo TagliazucchiGerald HahnAdrián Ponce-AlvarezAngus B. A. StevnerMorten L. KringelbachGustavo DecoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Beatrice M. Jobst
Rikkert Hindriks
Helmut Laufs
Enzo Tagliazucchi
Gerald Hahn
Adrián Ponce-Alvarez
Angus B. A. Stevner
Morten L. Kringelbach
Gustavo Deco
Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
description Abstract Recent research has found that the human sleep cycle is characterised by changes in spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation of the local neuronal dynamics underlying these changes. We used whole-brain computational modelling to study the differences in global brain functional connectivity and synchrony of fMRI activity in healthy humans during wakefulness and slow-wave sleep. We applied a whole-brain model based on the normal form of a supercritical Hopf bifurcation and studied the dynamical changes when adapting the bifurcation parameter for all brain nodes to best match wakefulness and slow-wave sleep. Furthermore, we analysed differences in effective connectivity between the two states. In addition to significant changes in functional connectivity, synchrony and metastability, this analysis revealed a significant shift of the global dynamic working point of brain dynamics, from the edge of the transition between damped to sustained oscillations during wakefulness, to a stable focus during slow-wave sleep. Moreover, we identified a significant global decrease in effective interactions during slow-wave sleep. These results suggest a mechanism for the empirical functional changes observed during slow-wave sleep, namely a global shift of the brain’s dynamic working point leading to increased stability and decreased effective connectivity.
format article
author Beatrice M. Jobst
Rikkert Hindriks
Helmut Laufs
Enzo Tagliazucchi
Gerald Hahn
Adrián Ponce-Alvarez
Angus B. A. Stevner
Morten L. Kringelbach
Gustavo Deco
author_facet Beatrice M. Jobst
Rikkert Hindriks
Helmut Laufs
Enzo Tagliazucchi
Gerald Hahn
Adrián Ponce-Alvarez
Angus B. A. Stevner
Morten L. Kringelbach
Gustavo Deco
author_sort Beatrice M. Jobst
title Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
title_short Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
title_full Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
title_fullStr Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
title_full_unstemmed Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling
title_sort increased stability and breakdown of brain effective connectivity during slow-wave sleep: mechanistic insights from whole-brain computational modelling
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/bb347e7be4c34247afc79a563803bf1a
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