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

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 wa...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anastasiya Runnova, Maksim Zhuravlev, Rodion Ukolov, Inna Blokhina, Alexander Dubrovski, Nikita Lezhnev, Evgeniya Sitnikova, Elena Saranceva, Anton Kiselev, Anatoly Karavaev, Anton Selskii, Oxana Semyachkina-Glushkovskaya, Thomas Penzel, Jurgen Kurths
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fe6126dc0236421392f1671ef80b4dcf
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fe6126dc0236421392f1671ef80b4dcf
record_format	dspace
spelling	oai:doaj.org-article:fe6126dc0236421392f1671ef80b4dcf2021-12-02T17:25:44ZModified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage10.1038/s41598-021-97427-92045-2322https://doaj.org/article/fe6126dc0236421392f1671ef80b4dcf2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97427-9https://doaj.org/toc/2045-2322Abstract 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.Anastasiya RunnovaMaksim ZhuravlevRodion UkolovInna BlokhinaAlexander DubrovskiNikita LezhnevEvgeniya SitnikovaElena SarancevaAnton KiselevAnatoly KaravaevAnton SelskiiOxana Semyachkina-GlushkovskayaThomas PenzelJurgen KurthsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anastasiya Runnova Maksim Zhuravlev Rodion Ukolov Inna Blokhina Alexander Dubrovski Nikita Lezhnev Evgeniya Sitnikova Elena Saranceva Anton Kiselev Anatoly Karavaev Anton Selskii Oxana Semyachkina-Glushkovskaya Thomas Penzel Jurgen Kurths Modified wavelet analysis of ECoG-pattern as promising tool for detection of the blood–brain barrier leakage
description	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.
format	article
author	Anastasiya Runnova Maksim Zhuravlev Rodion Ukolov Inna Blokhina Alexander Dubrovski Nikita Lezhnev Evgeniya Sitnikova Elena Saranceva Anton Kiselev Anatoly Karavaev Anton Selskii Oxana Semyachkina-Glushkovskaya Thomas Penzel Jurgen Kurths
author_facet	Anastasiya Runnova Maksim Zhuravlev Rodion Ukolov Inna Blokhina Alexander Dubrovski Nikita Lezhnev Evgeniya Sitnikova Elena Saranceva Anton Kiselev Anatoly Karavaev Anton Selskii Oxana Semyachkina-Glushkovskaya Thomas Penzel Jurgen Kurths
author_sort	Anastasiya Runnova
title	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_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_sort	modified wavelet analysis of ecog-pattern as promising tool for detection of the blood–brain barrier leakage
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fe6126dc0236421392f1671ef80b4dcf
work_keys_str_mv	AT anastasiyarunnova modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT maksimzhuravlev modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT rodionukolov modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT innablokhina modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT alexanderdubrovski modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT nikitalezhnev modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT evgeniyasitnikova modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT elenasaranceva modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT antonkiselev modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT anatolykaravaev modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT antonselskii modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT oxanasemyachkinaglushkovskaya modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT thomaspenzel modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage AT jurgenkurths modifiedwaveletanalysisofecogpatternaspromisingtoolfordetectionofthebloodbrainbarrierleakage
_version_	1718380945300520960

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

Ejemplares similares