https://doi.org/10.1140/epjs/s11734-024-01288-y
Regular Article
Characterization of cross-correlations in electrocorticograms of anesthetized mice
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:
10
May
2024
Accepted:
2
August
2024
Published online:
8
August
2024
This paper discusses the capabilities of two approaches to cross-correlation analysis of signals: detrended cross-correlation analysis (DCCA) and its extended version, EDCCA. Using two-channel electrocorticograms (ECoG) in mice, measured during transitions from wakefulness to anesthesia-induced sleep, it is shown that both methods are complementary to each other, allowing clearer recognizing of changes in ECoG signals. These results may be useful in physiological studies aimed at monitoring the depth of anesthesia.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. 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.
