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Similarities and differences between natural sleep and urethane anesthesia

Slow oscillations dominate the EEG or local field potential (LFP) of mammals during specific periods within natural sleep and anesthesia. Such similarities have led to the use of anesthesia as a model to study sleep and state-dependent changes of consciousness. Previous research has documented the s...

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Bibliographic Details
Main Authors: Brankačk, Jurij (Author) , Yanovsky, Yevgenij (Author) , Tort, Adriano B. L. (Author) , Draguhn, Andreas (Author)
Format: Article (Journal)
Language:English
Published: 25 May 2025
In: Scientific reports
Year: 2025, Volume: 15, Pages: 1-10
ISSN:2045-2322
DOI:10.1038/s41598-025-01762-0
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41598-025-01762-0
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41598-025-01762-0
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Author Notes:Jurij Brankačk, Yevgenij Yanovsky, Adriano B.L. Tort & Andreas Draguhn
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Summary:Slow oscillations dominate the EEG or local field potential (LFP) of mammals during specific periods within natural sleep and anesthesia. Such similarities have led to the use of anesthesia as a model to study sleep and state-dependent changes of consciousness. Previous research has documented the similarities between the activated state of urethane anesthesia and natural REM sleep, particularly with respect to network oscillations in the theta (θ) frequency domain. Likewise, the deactivated states, characterized by large amplitude slow waves in both urethane anesthesia and non-REM sleep, have generally been regarded as similar. Here, we report striking differences between slow oscillations in the mouse parietal cortex during the deactivated state of urethane anesthesia and natural non-REM sleep. These differences are notable in the LFP, the underlying current sources, and in the modulation of unit activity. Our data show that slow network oscillations in natural sleep and anesthesia are generated by different mechanisms, despite phenomenological similarities.
Item Description:Gesehen am 31.03.2026
Physical Description:Online Resource
ISSN:2045-2322
DOI:10.1038/s41598-025-01762-0

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