Noninvasive three-state sleep-wake staging in mice using electric field sensors.
3-State sleep
Electric field sensor
Noninvasive
REM Sleep
Rodent
Sleep-wake scoring
Journal
Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558
Informations de publication
Date de publication:
01 10 2020
01 10 2020
Historique:
received:
09
03
2020
revised:
22
06
2020
accepted:
26
06
2020
pubmed:
4
7
2020
medline:
22
6
2021
entrez:
4
7
2020
Statut:
ppublish
Résumé
Validate a novel method for sleep-wake staging in mice using noninvasive electric field (EF) sensors. Mice were implanted with electroencephalogram (EEG) and electromyogram (EMG) electrodes and housed individually. Noninvasive EF sensors were attached to the exterior of each chamber to record respiration and other movement simultaneously with EEG, EMG, and video. A sleep-wake scoring method based on EF sensor data was developed with reference to EEG/EMG and then validated by three expert scorers. Additionally, novice scorers without sleep-wake scoring experience were self-trained to score sleep using only the EF sensor data, and results were compared to those from expert scorers. Lastly, ability to capture three-state sleep-wake staging with EF sensors attached to traditional mouse home-cages was tested. EF sensors quantified wake, rapid eye movement (REM) sleep, and non-REM sleep with high agreement (>93%) and comparable inter- and intra-scorer error as EEG/EMG. Novice scorers successfully learned sleep-wake scoring using only EF sensor data and scoring criteria, and achieved high agreement with expert scorers (>91%). When applied to traditional home-cages, EF sensors enabled classification of three-state (wake, NREM and REM) sleep-wake independent of EEG/EMG. EF sensors score three-state sleep-wake architecture with high agreement to conventional EEG/EMG sleep-wake scoring 1) without invasive surgery, 2) from outside the home-cage, and 3) and without requiring specialized training or equipment. EF sensors provide an alternative method to assess rodent sleep for animal models and research laboratories in which EEG/EMG is not possible or where noninvasive approaches are preferred.
Identifiants
pubmed: 32619585
pii: S0165-0270(20)30257-0
doi: 10.1016/j.jneumeth.2020.108834
pmc: PMC7454007
mid: NIHMS1618873
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
108834Subventions
Organisme : NINDS NIH HHS
ID : K08 NS105929
Pays : United States
Organisme : NIGMS NIH HHS
ID : K12 GM000680
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Financial Disclosure: HK, WG, and SH are co-inventors of US patent application 16/095,906, filed 10/23/2018, that includes use of EF sensor methodology for non-contact physio-behavioral monitoring of movements including respiration. NPP is a member of the scientific advisory board for Dixi Medical USA (unrelated to this work).
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