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  Extended detrended fluctuation analysis of sound-induced changes in brain electrical activity

Pavlov, A., Dubrovsky, A., Koronovskii Jr, A., Pavlova, O., Semyachkina-Glushkovskaya, O., Kurths, J. (2020): Extended detrended fluctuation analysis of sound-induced changes in brain electrical activity. - Chaos, Solitons and Fractals, 139, 109989.
https://doi.org/10.1016/j.chaos.2020.109989

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24989 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24989_3
Genre: Journal Article

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 Creators:
Pavlov, A.N.1, Author
Dubrovsky, A.I.1, Author
Koronovskii Jr, A.A.1, Author
Pavlova, O.N.1, Author
Semyachkina-Glushkovskaya, O.V.1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We discuss the problem of revealing structural changes in rat electroencephalograms (EEG) caused by activation of the brain lymphatic drainage function due to a sound-induced stress. For this purpose, we apply the detrended fluctuation analysis (DFA) with its extended version to characterize long-range power-law correlations associated with the slow-wave dynamics of the electrical activity of the brain. The proposed extended DFA (EDFA) provided a stronger separation of groups of rats with different permeability of the blood-brain barrier (BBB) compared to the conventional DFA technique. We argue that such abilities of this tool can be useful in other diagnostic-related studies.

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 Dates: 2020-06-24
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.chaos.2020.109989
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

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Title: Chaos, Solitons and Fractals
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 139 Sequence Number: 109989 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190702
Publisher: Elsevier