Evidence map›Paper›PMID 32619585›Full record

ArticleJournal of neuroscience methods2020

Noninvasive three-state sleep-wake staging in mice using electric field sensors.

H Kloefkorn, L M Aiani, A Lakhani, S Nagesh, A Moss, W Goolsby, J M Rehg, N P Pedersen, S Hochman

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

H KloefkornDepartment of Physiology, School of Medicine, Emory University, Atlanta, GA, USA. Electronic address: hkloefk@emory.edu.
L M AianiDepartment of Neurology, School of Medicine, Emory University, Atlanta, GA, USA.
A LakhaniDepartment of Physiology, School of Medicine, Emory University, Atlanta, GA, USA.
S NageshSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
A MossDepartment of Physiology, School of Medicine, Emory University, Atlanta, GA, USA.
W GoolsbyDepartment of Physiology, School of Medicine, Emory University, Atlanta, GA, USA.
J M RehgSchool of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.
N P PedersenDepartment of Neurology, School of Medicine, Emory University, Atlanta, GA, USA. Electronic address: nigel.pedersen@emory.edu.
S HochmanDepartment of Physiology, School of Medicine, Emory University, Atlanta, GA, USA.
Emory University · USGeorgia Institute of Technology · US

Funding

IRACDA Fellowships in Research and Science Training (FIRST)K12GM000680 · NIGMS · EMORY UNIVERSITY · PI BROWN, LOU ANN S, MCCARTY, NAEL A · 2000 to 2024
$41.2M
Control of the Hippocampal Formation by the Supramammillary Hypothalamus - Anatomy, Physiology and in a Model of Medial Temporal Lobe EpilepsyK08NS105929 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PEDERSEN, NIGEL PAUL · 2018 to 2023
$963k
NIGMS NIH HHS K12 GM000680NINDS NIH HHS K08 NS105929
6 · The paper itself

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.

Indexed as

Sleep StagesWakefulnessAnimalsElectroencephalographyElectromyographyMiceSleepSleep, REM3-State sleepElectric field sensorNoninvasiveREM SleepRodentSleep-wake scoring

Identifiers

PMID32619585
PMCPMC7454007
OpenAlexW3038797642

What OpenQuestion holds

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Registered trials

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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.