Characterization of cerebellar electrocortical dynamics under ether anesthesia in rats: A preliminary study using linear spectral and non-linear fractal analyses

The temporal evolution of cerebellar electrocortical activity during emergence from ether anesthesia was investigated using both linear and non-linear analytical methods. Adult male rats underwent operative craniotomy and implantation of a 16-channel microelectrode array targeting the paravermal cer...

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Bibliographic Details
Main Authors: Podgorac-Kojadinović Jelena, Petković Branka, Kalauzi Aleksandar, Martać Ljiljana, Sekulić Slobodan, Stojadinović Gordana
Format: Article
Language:English
Published: University of Belgrade, University of Novi Sad 2025-01-01
Series:Archives of Biological Sciences
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Online Access:https://doiserbia.nb.rs/img/doi/0354-4664/2025/0354-46642500011P.pdf
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Summary:The temporal evolution of cerebellar electrocortical activity during emergence from ether anesthesia was investigated using both linear and non-linear analytical methods. Adult male rats underwent operative craniotomy and implantation of a 16-channel microelectrode array targeting the paravermal cerebellar cortex. Following a 7-day recovery period, animals were exposed to ether via inhalation, and cerebellar electrocortical signals were recorded using a wireless acquisition system. Data were quantified through relative spectral power (RSP) across defined frequency bands, Higuchi’s fractal dimension (HFD), and the Hurst exponent (H). A transitional phase between anesthetic depths was identified between the 17th and 19th min post-exposure. This period was characterized by a significant increase in RSP within low-frequency bands and a corresponding decrease in high-frequency bands beginning at the 17th min. Additionally, a marked decrease in HFD and an increase in H were observed at the 19th min, followed by a moderate rebound in HFD and a reduction in H. These findings suggest that non-linear dynamic measures, particularly HFD and H, may offer greater temporal precision in identifying the onset of awakening compared to conventional spectral analysis, highlighting their potential utility in monitoring anesthetic depth.
ISSN:0354-4664
1821-4339