Evidence map›Paper›PMID 42626464›Full record

ArticleFrontiers in veterinary science2026

Sleep architecture and lying behavior in horses across age groups and two housing systems: an overnight non-invasive EEG study.

Lisa Zimmer, Johannes Peter Schramel, Manolis Lyrakis, Dagmar S Trachsel, Ulrike Auer, Michael Leschnik, Sabine Macho-Maschler, Monika Hotz, Hanna Wahl, Susanne Brunner and 2 more

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Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Lisa ZimmerClinical Department for Small Animals and Horses, Centre for Equine Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Johannes Peter SchramelClinical Department for Small Animals and Horses, Centre for Small Animal Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Manolis LyrakisDepartment of Biological Sciences and Pathobiology, Platform for Bioinformatics and Biostatistics, University of Veterinary Medicine Vienna, Vienna, Austria.
Dagmar S TrachselClinical Department for Small Animals and Horses, Centre for Equine Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Ulrike AuerClinical Department for Small Animals and Horses, Centre for Small Animal Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Michael LeschnikClinical Department for Small Animals and Horses, Centre for Small Animal Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.
Sabine Macho-MaschlerDepartment of Biological Sciences and Pathobiology, Centre for Biological Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
Monika HotzZaza Textillösungen GmbH, Koblach, Austria.
Hanna WahlEquine Internal Medicine, University of Veterinary Medicine Vienna, Vienna, Austria.
Susanne BrunnerEquine Internal Medicine, University of Veterinary Medicine Vienna, Vienna, Austria.
Rupert PalmeDepartment of Biological Sciences and Pathobiology, Centre for Biological Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
Jessika-M V CavalleriClinical Department for Small Animals and Horses, Centre for Equine Health and Research, University of Veterinary Medicine Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep is a crucial factor for the well-being of horses, yet assessing equine sleep in common housing conditions remains challenging. This study investigated the effects of changes in horses' immediate environment and the influence of age on their sleep and resting behavior using a novel, non-invasive electroencephalography (EEG) mask. Ten horses from the teaching herd at the University of Veterinary Medicine Vienna were observed over four consecutive nights in two different housing systems (a large communal stable vs. two separate, adjacent individual stalls). Data collection included EEG recordings, video monitoring, electrocardiography for heart rate variability (HRV) analysis, and fecal cortisol metabolite (FCMs) measurements. The results showed significant differences in sleep stages and lying behavior between the two housing systems. Over time, the horses, in the single stable setting, exhibited an increase in REM sleep and lying-down frequency, while in the large barn setting, they showed longer duration of lying episodes, suggesting an adaptation effect. Younger horses exhibited more REM, N1 and N2 sleep, more complete sleep cycles and longer lying episodes compared to older horses. Objective stress monitoring via HRV analysis showed trends toward increased parasympathetic activity, while FCMs showed no significant changes. These findings suggest that housing conditions and age should be considered when assessing equine sleep as well as well-being. and reinforce the need for management practices that promote adequate rest. Further research is required to establish normative values and validate EEG protocols in equine medicine and to investigate the associations between sleep, stress, and well-being.

Indexed as

equine age impactequine EEGequine sleepequine welfarefirst-night-effect

Identifiers

PMID42626464
PMCPMC13491436

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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.