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Dynamic temporal neural patterns based on multichannel LFPs Identify different brain states during anesthesia in pigeons: comparison of three anesthetics.

Authors :
Li M
Yang L
Liu Y
Shang Z
Wan H
Source :
Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Nov; Vol. 62 (11), pp. 3249-3262. Date of Electronic Publication: 2024 May 31.
Publication Year :
2024

Abstract

Anesthetic-induced brain activity study is crucial in avian cognitive-, consciousness-, and sleep-related research. However, the neurobiological mechanisms underlying the generation of brain rhythms and specific connectivity of birds during anesthesia are poorly understood. Although different kinds of anesthetics can be used to induce an anesthesia state, a comparison study of these drugs focusing on the neural pattern evolution during anesthesia is lacking. Here, we recorded local field potentials (LFPs) using a multi-channel micro-electrode array inserted into the nidopallium caudolateral (NCL) of adult pigeons (Columba livia) anesthetized with chloral hydrate, pelltobarbitalum natricum or urethane. Power spectral density (PSD) and functional connectivity analyses were used to measure the dynamic temporal neural patterns in NCL during anesthesia. Neural decoding analysis was adopted to calculate the probability of the pigeon's brain state and the kind of injected anesthetic. In the NCL during anesthesia, we found elevated power activity and functional connectivity at low-frequency bands and depressed power activity and connectivity at high-frequency bands. Decoding results based on the spectral and functional connectivity features indicated that the pigeon's brain states during anesthesia and the injected anesthetics can be effectively decoded. These findings provide an important foundation for future investigations on how different anesthetics induce the generation of specific neural patterns.<br /> (© 2024. International Federation for Medical and Biological Engineering.)

Details

Language :
English
ISSN :
1741-0444
Volume :
62
Issue :
11
Database :
MEDLINE
Journal :
Medical & biological engineering & computing
Publication Type :
Academic Journal
Accession number :
38819673
Full Text :
https://doi.org/10.1007/s11517-024-03132-w