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

Runnova, A., Zhuravlev, M., Ukolov, R., Blokhina, I., Dubrovski, A., Lezhnev, N., Sitnikova, E., Saranceva, E., Kiselev, A., Karavaev, A., Selskii, A., Semyachkina-Glushkovskaya, O., Penzel, T., Kurths, J. (2021): Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage. - Scientific Reports, 11, 18505.
https://doi.org/10.1038/s41598-021-97427-9

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Runnova, Anastasiya1, Author
Zhuravlev, Maksim1, Author
Ukolov, Rodion1, Author
Blokhina, Inna1, Author
Dubrovski, Alexander1, Author
Lezhnev, Nikita1, Author
Sitnikova, Evgeniya1, Author
Saranceva, Elena1, Author
Kiselev, Anton1, Author
Karavaev, Anatoly1, Author
Selskii, Anton1, Author
Semyachkina-Glushkovskaya, Oxana1, Author
Penzel, Thomas1, Author
Kurths, Jürgen2, Author              
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: 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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 Dates: 2021-08-242021-09-162021-09-16
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-021-97427-9
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
 Degree: -

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Title: Scientific Reports
Source Genre: Journal, SCI, Scopus, p3, OA
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Pages: - Volume / Issue: 11 Sequence Number: 18505 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_395
Publisher: Nature