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  Changes in blood–brain barrier permeability characterized from electroencephalograms with a combined wavelet and fluctuation analysis

Pavlov, A. N., Khorovodov, A. P., Mamedova, A. T., Koronovskii, A. A., Pavlova, O. N., Semyachkina-Glushkovskaya, O. V., Kurths, J. (2021): Changes in blood–brain barrier permeability characterized from electroencephalograms with a combined wavelet and fluctuation analysis. - European Physical Journal Plus, 136, 5, 577.
https://doi.org/10.1140/epjp/s13360-021-01593-8

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_26430 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_26430_1
Genre: Journal Article

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Pavlov2021_Article_ChangesInBloodBrainBarrierPerm.pdf (Publisher version), 348KB
 
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 Creators:
Pavlov, A. N.1, Author
Khorovodov, A. P.1, Author
Mamedova, A. T.1, Author
Koronovskii, A. A.1, Author
Pavlova, O. N.1, Author
Semyachkina-Glushkovskaya, O. V.1, 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: We study changes in the blood–brain barrier (BBB) permeability in mice caused by a 2-h intermittent sound and discuss their reflection in the electrical activity of the brain. Using the detrended fluctuation analysis (DFA), multiresolution wavelet analysis (MWA) and their recent modifications, we compare the capabilities of reliably characterizing the transitions between closed and open BBB states. It is shown that an enhanced approach, combining MWA with DFA of the decomposition coefficients, improves the interstate separation by limiting the most appropriate level of resolution. This approach can be useful in various studies of complex systems based on experimental data.

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 Dates: 2021-05-252021-05
 Publication Status: Finally published
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 Rev. Type: Peer
 Identifiers: DOI: 10.1140/epjp/s13360-021-01593-8
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Health
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
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Title: European Physical Journal Plus
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 136 (5) Sequence Number: 577 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals139