The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

Abstract In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the...

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Autores principales:	Gustavo Deco, Morten L. Kringelbach, Viktor K. Jirsa, Petra Ritter
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/53442c80c30b49af8591c7455e7e081b
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spelling	oai:doaj.org-article:53442c80c30b49af8591c7455e7e081b2021-12-02T12:32:41ZThe dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core10.1038/s41598-017-03073-52045-2322https://doaj.org/article/53442c80c30b49af8591c7455e7e081b2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03073-5https://doaj.org/toc/2045-2322Abstract In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.Gustavo DecoMorten L. KringelbachViktor K. JirsaPetra RitterNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gustavo Deco Morten L. Kringelbach Viktor K. Jirsa Petra Ritter The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
description	Abstract In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.
format	article
author	Gustavo Deco Morten L. Kringelbach Viktor K. Jirsa Petra Ritter
author_facet	Gustavo Deco Morten L. Kringelbach Viktor K. Jirsa Petra Ritter
author_sort	Gustavo Deco
title	The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
title_short	The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
title_full	The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
title_fullStr	The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
title_full_unstemmed	The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
title_sort	dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/53442c80c30b49af8591c7455e7e081b
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The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

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