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, Jürgen

doi:10.1140/epjp/s13360-021-01593-8

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

Authors

Pavlov, A. N.
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Khorovodov, A. P.
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Mamedova, A. T.
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Koronovskii, A. A.
External Organizations;

Pavlova, O. N.
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Semyachkina-Glushkovskaya, O. V.
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/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

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

Cite as: https://publications.pik-potsdam.de/pubman/item/item_26430

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.