ArticleJournal of neuroscience methods2020
Noninvasive three-state sleep-wake staging in mice using electric field sensors.
Article in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
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- Chronic joint pain drives sex-specific changes in hippocampal glutamatergic signaling and sleep.npj biomedical innovations · 2026Article
- High Adhesion Superoleophobic Oil Microdroplets to Create Ocular Hypertension In Vivo.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A tool for high-throughput quantification of sleep-wake transitions in data from noninvasive piezoelectric cage systems.Current research in neurobiology · 2026Article
- Strategies for Optimizing Genetic Mouse Models to Enhance the Understanding of Parkinson's Disease.Biomedicines · 2026Review
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- Relating Spinal Injury-Induced Neuropathic Pain and Spontaneous Afferent Activity to Sleep and Respiratory Dysfunction.Journal of neurotrauma · 2023Article
- Bouts of rest and physical activity in C57BL/6J mice.PloS one · 2023Article
- Effects of iron-deficient diet on sleep onset and spinal reflexes in a rodent model of Restless Legs Syndrome.Frontiers in neurology · 2023Article
- Non-invasive sleep EEG measurement in hand raised wolves.Scientific reports · 2022Article
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- Scoring sleep using respiration and movement-based features.MethodsX · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
STUDY
objectiveValidate a novel method for sleep-wake staging in mice using noninvasive electric field (EF) sensors.
methodsMice 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.
resultsEF 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.
conclusionsEF 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.