English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  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

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_26313 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_26313_2
Genre: Journal Article

Files

show Files
hide Files
:
runnova_2021_s41598-021-97427-9.pdf (Publisher version), 3MB
View   Save
File Permalink:
https://publications.pik-potsdam.de/pubman/item/item_26313_1/component/file_26314/runnova_2021_s41598-021-97427-9.pdf
Name:
runnova_2021_s41598-021-97427-9.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
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              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2021-08-242021-09-162021-09-16
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 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: -

Event

show

Legal Case

show

Project information

show

Source 1

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