Evidence map›Paper›PMID 42474097›Full record

ArticleAnnals of neurology2026

Monitoring Antiseizure Medication Change Using Ultra Long-Term Electroencephalogram: A Multicenter Study.

Pedro F Viana, Matthew McWilliam, Johannes Koren, Christina Duarte, Tamara Lisy, Christoph Baumgartner, Karl Rössler, Matthias Tomschik, Adriana Celdrán de Castro, Rodrigo Rocamora and 11 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Pedro F VianaInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0861-8705
Matthew McWilliamInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Johannes KorenDepartment of Neurology, Clinic Hietzing, Vienna, Austria.ORCID https://orcid.org/0000-0002-5290-2837
Christina DuarteDepartment of Neurology, Clinic Hietzing, Vienna, Austria.
Tamara LisyKarl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, Vienna, Austria.
Christoph BaumgartnerDepartment of Neurology, Clinic Hietzing, Vienna, Austria.
Karl RösslerDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Matthias TomschikDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Adriana Celdrán de CastroEpilepsy Center, Hospital del Mar Research Institute (IMIM), Barcelona, Spain.
Rodrigo RocamoraEpilepsy Center, Hospital del Mar Research Institute (IMIM), Barcelona, Spain.
Laura VilellaEpilepsy Center, Hospital del Mar Research Institute (IMIM), Barcelona, Spain.
Guido RubboliDanish Epilepsy Center, Dianalund, Denmark.ORCID https://orcid.org/0000-0002-5309-2514
Sigge WeisdorfDanish Epilepsy Center, Dianalund, Denmark.
Cecilia Friedrichs-MaederSleep-Wake-Epilepsy Center, NeuroTec, Center for Experimental Neurology, Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland.
Troels W KjaerInstitute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Sanchita BhatiaThe Welsh Epilepsy Centre, Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom.
Dympna McAleerThe Welsh Epilepsy Centre, Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom.
Khalid HamandiThe Welsh Epilepsy Centre, Department of Neurology, University Hospital of Wales, Cardiff, United Kingdom.
Deborah SpencerDepartment of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.
Rajiv MohanrajDepartment of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.
Mark P RichardsonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Funding

Epilepsy Foundation's Epilepsy Innovation InstituteKing's College LondonMaudsley NHS Foundation TrustMedical Research Council (MRC) Center for Neurodevelopmental Disorders MR/N026063/1National Institute for Health and Care Research (NIHR) Development and Skills Enhancement Award NIHR NIHR305718NIHR Biomedical Research Center
6 · The paper itself

Abstract

objectiveMedication dose adjustments are common in treatment-resistant epilepsy, but lack robust evidence, and patient-reported seizure diaries have known limitations. We assessed whether ultra long-term subcutaneous electroencephalogram (sqEEG) improves detection of seizure frequency changes after antiseizure medication adjustments.

methodsA retrospective, multicenter cohort study was carried out across 9 centers in adults with treatment-resistant epilepsy. SqEEG seizure frequency was compared with seizure diaries before and after medication dose increases and reductions, over 7-, 14-, and 30-day windows, using categorical analyses, mixed-effects models and survival analyses.

resultsA total of 65 participants (mean age 40.6 years; 59% female) contributed >280,000 hours of sqEEG, 9,190 electrographic seizures and 4,850 diary events, including across 160 medication changes. Categorical disagreement between modalities ranged from 36% to 50%, with significant differences at 7 and 14 days for dose reductions, and at 14 days for dose increases. sqEEG recorded 2.2- to 3.4-fold more seizures than diary across all seizure count models (all p < 0.01). Seizure count models showed no statistically significant difference between modalities in detecting treatment-related changes (interaction estimates: 5-38% larger increases with sqEEG for dose reductions, and 13-38% larger reductions with sqEEG for dose increases). SqEEG identified return to baseline seizure counts significantly earlier than diary after dose reductions at 7- and 14-day windows (median 7 vs 13 days and 10 vs 17 days, respectively; adjusted p = 0.046 and 0.042).

interpretationSqEEG detects more seizures than patient-reported diaries and identifies treatment-related changes earlier, even after modest medication adjustments, particularly after dose reductions, highlighting the potential of objective ultra long-term EEG monitoring in treatment-resistant epilepsy. ANN NEUROL 2026;100:600-612.

Indexed as

AnticonvulsantsDrug Resistant EpilepsyElectroencephalographySeizuresAdultCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesAnticonvulsants

Identifiers

PMID42474097
PMCPMC13495913

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.