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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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) |
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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 |
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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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