https://doi.org/10.1140/epjs/s11734-023-01053-7
Regular Article
Anesthesia effects in rat electrocorticograms characterized using detrended fluctuation analysis and its extension
1
Saratov State University, Astrakhanskaya Str. 83, 410012, Saratov, Russia
2
Regional Scientific and Educational Mathematical Center “Mathematics of Future Technologies”, 410012, Saratov, Russia
Received:
9
June
2023
Accepted:
21
November
2023
Published online:
1
December
2023
Using rat electrocorticograms (ECoG), we discuss how detrended fluctuation analysis (DFA) and its recently proposed extension characterize anesthesia effects in the electrical activity of the brain. Two groups of animals with injection and inhalation anesthesia are considered to reveal differences in ECoG depending on the type of anesthetic or the absence of differences, and also to demonstrate how the distribution of local fluctuations of signal profiles from the trend makes it possible to obtain additional information about the complex organization of ECoG signals. Based on this information, the analysis of physiological experiments can be performed more thoroughly than using only one diagnostic marker, such as the DFA scaling exponent. The practical importance of such thorough signal processing is the possibility of better control of the depth of anesthesia in long-term physiological experiments, when sensitive diagnostic markers become high relevance.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
