Dynamic reconfiguration of cortical functional connectivity across brain states

Abstract Throughout each day, the brain displays transient changes in state, as evidenced by shifts in behavior and vigilance. While the electrophysiological correlates of brain states have been studied for some time, it remains unclear how large-scale cortico-cortical functional connectivity system...

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Autores principales: Iain Stitt, Karl J. Hollensteiner, Edgar Galindo-Leon, Florian Pieper, Eva Fiedler, Thomas Stieglitz, Gerhard Engler, Guido Nolte, Andreas K. Engel
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/d6bbf2d26391475a834fc1030316ab6a
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spelling oai:doaj.org-article:d6bbf2d26391475a834fc1030316ab6a2021-12-02T16:06:49ZDynamic reconfiguration of cortical functional connectivity across brain states10.1038/s41598-017-08050-62045-2322https://doaj.org/article/d6bbf2d26391475a834fc1030316ab6a2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08050-6https://doaj.org/toc/2045-2322Abstract Throughout each day, the brain displays transient changes in state, as evidenced by shifts in behavior and vigilance. While the electrophysiological correlates of brain states have been studied for some time, it remains unclear how large-scale cortico-cortical functional connectivity systematically reconfigures across states. Here, we investigate state-dependent shifts in cortical functional connectivity by recording local field potentials (LFPs) during spontaneous behavioral transitions in the ferret using chronically implanted micro-electrocorticographic (µECoG) arrays positioned over occipital, parietal, and temporal cortical regions. To objectively classify brain state, we describe a data-driven approach that projects time-varying LFP spectral properties into brain state space. Distinct brain states displayed markedly different patterns of cross-frequency phase-amplitude coupling and inter-electrode phase synchronization across several LFP frequency bands. The largest across-state differences in functional connectivity were observed between periods of presumed slow-wave and rapid-eye-movement-sleep/active-state, which were characterized by the contrasting phenomena of cortical network fragmentation and global synchronization, respectively. Collectively, our data provide strong evidence that large-scale functional interactions in the brain dynamically reconfigure across behavioral states.Iain StittKarl J. HollensteinerEdgar Galindo-LeonFlorian PieperEva FiedlerThomas StieglitzGerhard EnglerGuido NolteAndreas K. EngelNature 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
Iain Stitt
Karl J. Hollensteiner
Edgar Galindo-Leon
Florian Pieper
Eva Fiedler
Thomas Stieglitz
Gerhard Engler
Guido Nolte
Andreas K. Engel
Dynamic reconfiguration of cortical functional connectivity across brain states
description Abstract Throughout each day, the brain displays transient changes in state, as evidenced by shifts in behavior and vigilance. While the electrophysiological correlates of brain states have been studied for some time, it remains unclear how large-scale cortico-cortical functional connectivity systematically reconfigures across states. Here, we investigate state-dependent shifts in cortical functional connectivity by recording local field potentials (LFPs) during spontaneous behavioral transitions in the ferret using chronically implanted micro-electrocorticographic (µECoG) arrays positioned over occipital, parietal, and temporal cortical regions. To objectively classify brain state, we describe a data-driven approach that projects time-varying LFP spectral properties into brain state space. Distinct brain states displayed markedly different patterns of cross-frequency phase-amplitude coupling and inter-electrode phase synchronization across several LFP frequency bands. The largest across-state differences in functional connectivity were observed between periods of presumed slow-wave and rapid-eye-movement-sleep/active-state, which were characterized by the contrasting phenomena of cortical network fragmentation and global synchronization, respectively. Collectively, our data provide strong evidence that large-scale functional interactions in the brain dynamically reconfigure across behavioral states.
format article
author Iain Stitt
Karl J. Hollensteiner
Edgar Galindo-Leon
Florian Pieper
Eva Fiedler
Thomas Stieglitz
Gerhard Engler
Guido Nolte
Andreas K. Engel
author_facet Iain Stitt
Karl J. Hollensteiner
Edgar Galindo-Leon
Florian Pieper
Eva Fiedler
Thomas Stieglitz
Gerhard Engler
Guido Nolte
Andreas K. Engel
author_sort Iain Stitt
title Dynamic reconfiguration of cortical functional connectivity across brain states
title_short Dynamic reconfiguration of cortical functional connectivity across brain states
title_full Dynamic reconfiguration of cortical functional connectivity across brain states
title_fullStr Dynamic reconfiguration of cortical functional connectivity across brain states
title_full_unstemmed Dynamic reconfiguration of cortical functional connectivity across brain states
title_sort dynamic reconfiguration of cortical functional connectivity across brain states
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/d6bbf2d26391475a834fc1030316ab6a
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