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Altered EEG power spectrum, but not sleep-wake architecture, in HCN1 knockout mice.

Authors :
Bleakley LE
Keenan RJ
Graven RD
Metha JA
Ma S
Daykin H
Cornthwaite-Duncan L
Hoyer D
Reid CA
Jacobson LH
Source :
Behavioural brain research [Behav Brain Res] 2023 Feb 02; Vol. 437, pp. 114105. Date of Electronic Publication: 2022 Sep 08.
Publication Year :
2023

Abstract

Sleep is a complex biological state characterized by large populations of neurons firing in a rhythmic or synchronized manner. HCN channels play a critical role in generating and sustaining synchronized neuronal firing and are involved in the actions of anaesthetics. However, the role of these channels in sleep-wakefulness per se has yet to be studied. We conducted polysomnographic recordings of Hcn1 constitutive knockout (Hcn1 KO) and wild-type (WT) mice in order to investigate the potential role of HCN1 channels in sleep/wake regulation. EEG and EMG data were analysed using the Somnivoreā„¢ machine learning algorithm. Time spent in each vigilance state, bout number and duration, and EEG power spectral activity were compared between genotypes. There were no significant differences in the time spent in wake, rapid eye movement (REM) or non-REM (NREM) sleep between Hcn1 KO and WT mice. Wake bout duration during the inactive phase was significantly shorter in Hcn1 KO mice whilst no other bout parameters were affected by genotype. Hcn1 KO mice showed a reduction in overall EEG power which was particularly prominent in the theta (5-9 Hz) and alpha (9-15 Hz) frequency bands and most evident during NREM sleep. Together these data suggest that HCN1 channels do not play a major role in sleep architecture or modulation of vigilance states. However, loss of these channels significantly alters underlying neuronal activity within these states which may have functional consequences.<br />Competing Interests: Declarations of interest No authors report disclosures relevant to the manuscript.<br /> (Crown Copyright © 2022. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-7549
Volume :
437
Database :
MEDLINE
Journal :
Behavioural brain research
Publication Type :
Academic Journal
Accession number :
36089097
Full Text :
https://doi.org/10.1016/j.bbr.2022.114105