Evidence map›Paper›PMID 40872709›Full record

ArticleVeterinary sciences2025

Non-Invasive EEG Recordings in Epileptic Dogs (

Katalin Hermándy-Berencz, Luca Kis, Ferenc Gombos, Anna Paulina, Anna Kis

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

5 authors.

Katalin Hermándy-BerenczHUNREN Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, 1117 Budapest, Hungary.
Luca KisHUNREN Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, 1117 Budapest, Hungary.
Ferenc GombosHUN-REN-ELTE-PPKE Adolescent Development Research Group, 1088 Budapest, Hungary.ORCID 0000-0001-6000-1820
Anna PaulinaHUNREN Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, 1117 Budapest, Hungary.
Anna KisHUNREN Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, 1117 Budapest, Hungary.

Funding

Hungarian Brain Research Program 3.0 NAPJános Bolyai Research Scholarship bo_554_23Pázmány Péter Catholic University PPKE-BTK-KUT-23-1
6 · The paper itself

Abstract

In addition to characteristic and easily identifiable behavioural signs-namely epileptic seizures-electroencephalography (EEG) has long been a standard component of epilepsy diagnosis protocols. In veterinary practice, EEG is typically performed in a semi-invasive manner, using subcutaneous electrodes and sedation. Here, we propose that the non-invasive polysomnography protocol, originally developed for basic research, can serve as a more welfare-friendly yet informative alternative for assessing epileptic brain activity in dogs. In this study, N = 11 family dogs diagnosed with epilepsy underwent a single non-invasive polysomnography session. EEG-based evidence for epileptic activity was detected in two cases. Polysomnography data from these 11 epileptic dogs were further analysed to evaluate sleep structure parameters. Compared to a matched control group of N = 11 clinically healthy dogs, the epileptic group exhibited reduced sleep efficiency, increased sleep latency, more wakings after sleep onset, and less time spent in drowsiness and non-REM sleep. These findings support the potential utility of non-invasive brain monitoring techniques, such as polysomnography, in the diagnosis and management of epilepsy in veterinary medicine.

Indexed as

dogepilepsynon-invasive EEGsleep

Identifiers

PMID40872709
PMCPMC12390102

What Socratic holds

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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 Socratic graph.