Evidence map›Paper›PMID 40542820›Full record

ArticleEpilepsia2025

Asymmetry of generalized discharges in idiopathic generalized epilepsy in adults.

Joao Pizarro, Matthew C Walker, Laurent Sheybani

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Joao PizarroChalfont Centre for Epilepsy, University College London Hospitals NHS Foundation Trust, London, UK.
Matthew C WalkerDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-0812-0352
Laurent SheybaniDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.

Funding

Department of Health's National Institute for Health ResearchGuarantors of BrainSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung P500PM_206720UCLH Biomedical Research Centre
6 · The paper itself

Abstract

Generalized epileptiform discharges (GEDs) in idiopathic generalized epilepsy (IGE) are classically considered symmetrical in amplitude, although this has not been formally tested. This is a major knowledge gap, since asymmetry is conventionally considered an atypical feature, with clinical implications. Furthermore, if such asymmetry exists, it would challenge the concept that IGE engages homogenously the entire brain and rather supports the hypothesis that IGE is shaped by delimited networks. Here, we asked whether GEDs in IGE are asymmetrical and whether this asymmetry exhibits individual specificity. Across 62 patients with IGE recorded with scalp electroencephalography (EEG), we found that GEDs exhibit hemispheric asymmetry (mean, 95% confidence interval [CI]: 22%, 17%-28%) in comparison to control conditions and preceding baseline. Importantly, this asymmetry is systematic across several repetitions of GEDs. Furthermore, the asymmetry varies more across than within patients, indicating that it operates as an individual trait. In contrast, there was no left-right hemispheric preference, and the asymmetry was not different when comparing wake- and sleep-recorded GEDs. Beyond the clinical relevance of providing a formal range for GEDs asymmetry in IGE (upper range of 95% CI ~30% asymmetry), this work supports the concept of IGE as being shaped by distinct and lateralized cortical brain networks.

Indexed as

amplitudedischargesEEGepilepsygeneralizedsymmetry

Identifiers

PMID40542820
PMCPMC12371676

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.