Evidence map›Paper›PMID 37187924›Full record

ArticleFrontiers in veterinary science2023

Sleep and cognition in aging dogs. A polysomnographic study.

Alejandra Mondino, Magaly Catanzariti, Diego Martin Mateos, Michael Khan, Claire Ludwig, Anna Kis, Margaret E Gruen, Natasha J Olby

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. 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
2.3field-weighted citation impact, top 12% 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, 13 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Beacon-based sleep-wake monitoring in dogs.The Journal of veterinary medical science · 2024
    Article
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  12. Review
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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

8 authors at 3 institutions in 3 countries.

Alejandra MondinoDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Magaly CatanzaritiInstituto de Matemática Aplicada del Litoral, Consejo Nacional de Investigaciones Científicas y Técninas, Universidad Nacional del Litoral, Santa Fe, Argentina.
Diego Martin MateosInstituto de Matemática Aplicada del Litoral, Consejo Nacional de Investigaciones Científicas y Técninas, Universidad Nacional del Litoral, Santa Fe, Argentina.
Michael KhanDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Claire LudwigDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Anna KisResearch Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary.
Margaret E GruenDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
Natasha J OlbyDepartment of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States.
North Carolina State University · USNational University of the Littoral · ARHUN-REN Research Centre for Natural Sciences · HU

Funding

Interdisciplinary Biomedical Research Training ProgramT35OD011070 · OD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Ronald Hak Long Li · 2012 to 2026
$1.1M
NIH HHS T35 OD011070
6 · The paper itself

Abstract

Introduction: Sleep is fundamental for cognitive homeostasis, especially in senior populations since clearance of amyloid beta (key in the pathophysiology of Alzheimer's disease) occurs during sleep. Some electroencephalographic characteristics of sleep and wakefulness have been considered a hallmark of dementia. Owners of dogs with canine cognitive dysfunction syndrome (a canine analog to Alzheimer's disease) report that their dogs suffer from difficulty sleeping. The aim of this study was to quantify age-related changes in the sleep-wakefulness cycle macrostructure and electroencephalographic features in senior dogs and to correlate them with their cognitive performance. Methods: We performed polysomnographic recordings in 28 senior dogs during a 2 h afternoon nap. Percentage of time spent in wakefulness, drowsiness, NREM, and REM sleep, as well as latency to the three sleep states were calculated. Spectral power, coherence, and Lempel Ziv Complexity of the brain oscillations were estimated. Finally, cognitive performance was evaluated by means of the Canine Dementia Scale Questionnaire and a battery of cognitive tests. Correlations between age, cognitive performance and sleep-wakefulness cycle macrostructure and electroencephalographic features were calculated. Results: Dogs with higher dementia scores and with worse performance in a problem-solving task spent less time in NREM and REM sleep. Additionally, quantitative electroencephalographic analyses showed differences in dogs associated with age or cognitive performance, some of them reflecting shallower sleep in more affected dogs. Discussion: Polysomnographic recordings in dogs can detect sleep-wakefulness cycle changes associated with dementia. Further studies should evaluate polysomnography's potential clinical use to monitor the progression of canine cognitive dysfunction syndrome.

Indexed as

canine cognitive dysfunction syndromecoherencecomplexityNREM sleeppower spectrumquantitative EEGREM sleep

Identifiers

PMID37187924
PMCPMC10175583
OpenAlexW4367318473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.