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

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 Zusammenfassung: 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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 Datum: 2021-08-242021-09-162021-09-16
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: 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
 Art des Abschluß: -

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Titel: Scientific Reports
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, OA
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Seiten: - Band / Heft: 11 Artikelnummer: 18505 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_395
Publisher: Nature