Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage

A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. The method opens up additional perspectives for the analysis of subtle changes in the oscillatory activity of complex nonstationary signals. The method was applied...

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Autores principales: Runnova, Anastasiya, Zhuravlev, Maksim, Ukolov, Rodion, Blokhina, Inna, Dubrovski, Alexander, Lezhnev, Nikita, Sitnikova, Evgeniya, Saranceva, Elena, Kiselev, Anton, Karavaev, Anatoly, Selskii, Anton, Semyachkina-Glushkovskaya, Oxana, Penzel, Thomas, Kurths, Jurgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445940/
https://www.ncbi.nlm.nih.gov/pubmed/34531434
http://dx.doi.org/10.1038/s41598-021-97427-9
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author Runnova, Anastasiya
Zhuravlev, Maksim
Ukolov, Rodion
Blokhina, Inna
Dubrovski, Alexander
Lezhnev, Nikita
Sitnikova, Evgeniya
Saranceva, Elena
Kiselev, Anton
Karavaev, Anatoly
Selskii, Anton
Semyachkina-Glushkovskaya, Oxana
Penzel, Thomas
Kurths, Jurgen
author_facet Runnova, Anastasiya
Zhuravlev, Maksim
Ukolov, Rodion
Blokhina, Inna
Dubrovski, Alexander
Lezhnev, Nikita
Sitnikova, Evgeniya
Saranceva, Elena
Kiselev, Anton
Karavaev, Anatoly
Selskii, Anton
Semyachkina-Glushkovskaya, Oxana
Penzel, Thomas
Kurths, Jurgen
author_sort Runnova, Anastasiya
collection PubMed
description A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. The method opens up additional perspectives for the analysis of subtle changes in the oscillatory activity of complex nonstationary signals. The method was applied to analyze unique experimental signals obtained in usual conditions and after the non-invasive increase in the blood–brain barrier (BBB) permeability in 10 male Wistar rats. The results of the wavelet-analysis of electrocorticography (ECoG) recorded in a normal physiological state and after an increase in the BBB permeability of animals demonstrate significant changes between these states during wakefulness of animals and an essential smoothing of these differences during sleep. Sleep is closely related to the processes of observed changes in the BBB permeability.
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spelling pubmed-84459402021-09-20 Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage Runnova, Anastasiya Zhuravlev, Maksim Ukolov, Rodion Blokhina, Inna Dubrovski, Alexander Lezhnev, Nikita Sitnikova, Evgeniya Saranceva, Elena Kiselev, Anton Karavaev, Anatoly Selskii, Anton Semyachkina-Glushkovskaya, Oxana Penzel, Thomas Kurths, Jurgen Sci Rep Article A new approach for detection oscillatory patterns and estimation of their dynamics based by a modified CWT skeleton method is presented. The method opens up additional perspectives for the analysis of subtle changes in the oscillatory activity of complex nonstationary signals. The method was applied to analyze unique experimental signals obtained in usual conditions and after the non-invasive increase in the blood–brain barrier (BBB) permeability in 10 male Wistar rats. The results of the wavelet-analysis of electrocorticography (ECoG) recorded in a normal physiological state and after an increase in the BBB permeability of animals demonstrate significant changes between these states during wakefulness of animals and an essential smoothing of these differences during sleep. Sleep is closely related to the processes of observed changes in the BBB permeability. Nature Publishing Group UK 2021-09-16 /pmc/articles/PMC8445940/ /pubmed/34531434 http://dx.doi.org/10.1038/s41598-021-97427-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Runnova, Anastasiya
Zhuravlev, Maksim
Ukolov, Rodion
Blokhina, Inna
Dubrovski, Alexander
Lezhnev, Nikita
Sitnikova, Evgeniya
Saranceva, Elena
Kiselev, Anton
Karavaev, Anatoly
Selskii, Anton
Semyachkina-Glushkovskaya, Oxana
Penzel, Thomas
Kurths, Jurgen
Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title_full Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title_fullStr Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title_full_unstemmed Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title_short Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
title_sort modified wavelet analysis of ecog-pattern as promising tool for detection of the blood–brain barrier leakage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445940/
https://www.ncbi.nlm.nih.gov/pubmed/34531434
http://dx.doi.org/10.1038/s41598-021-97427-9
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