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Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep
A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617208/ https://www.ncbi.nlm.nih.gov/pubmed/28966977 http://dx.doi.org/10.1523/ENEURO.0106-17.2017 |
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author | Deco, Gustavo Tagliazucchi, Enzo Laufs, Helmut Sanjuán, Ana Kringelbach, Morten L. |
author_facet | Deco, Gustavo Tagliazucchi, Enzo Laufs, Helmut Sanjuán, Ana Kringelbach, Morten L. |
author_sort | Deco, Gustavo |
collection | PubMed |
description | A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate neuronal activity to other regions, giving rise to different levels of integration. The ignitory capability of brain regions is computed by the elicited level of integration for each intrinsic ignition event in each brain region, averaged over all events. This intrinsic ignition method is shown to clearly distinguish human neuroimaging data of two fundamental brain states (wakefulness and deep sleep). Importantly, whole-brain computational modelling of this data shows that at the optimal working point is found where there is maximal variability of the intrinsic ignition across brain regions. Thus, combining whole brain models with intrinsic ignition can provide novel insights into underlying mechanisms of brain states. |
format | Online Article Text |
id | pubmed-5617208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-56172082017-09-29 Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep Deco, Gustavo Tagliazucchi, Enzo Laufs, Helmut Sanjuán, Ana Kringelbach, Morten L. eNeuro New Research A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate neuronal activity to other regions, giving rise to different levels of integration. The ignitory capability of brain regions is computed by the elicited level of integration for each intrinsic ignition event in each brain region, averaged over all events. This intrinsic ignition method is shown to clearly distinguish human neuroimaging data of two fundamental brain states (wakefulness and deep sleep). Importantly, whole-brain computational modelling of this data shows that at the optimal working point is found where there is maximal variability of the intrinsic ignition across brain regions. Thus, combining whole brain models with intrinsic ignition can provide novel insights into underlying mechanisms of brain states. Society for Neuroscience 2017-09-22 /pmc/articles/PMC5617208/ /pubmed/28966977 http://dx.doi.org/10.1523/ENEURO.0106-17.2017 Text en Copyright © 2017 Deco et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | New Research Deco, Gustavo Tagliazucchi, Enzo Laufs, Helmut Sanjuán, Ana Kringelbach, Morten L. Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title | Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title_full | Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title_fullStr | Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title_full_unstemmed | Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title_short | Novel Intrinsic Ignition Method Measuring Local-Global Integration Characterizes Wakefulness and Deep Sleep |
title_sort | novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep |
topic | New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617208/ https://www.ncbi.nlm.nih.gov/pubmed/28966977 http://dx.doi.org/10.1523/ENEURO.0106-17.2017 |
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