Evidence map›Paper›PMID 40682766›Full record

Observational studyEpilepsia2025

Real-world epilepsy monitoring with ultra-long-term subcutaneous electroencephalography: A 15-month prospective study.

Pedro F Viana, Jonas Duun-Henriksen, Andrea Biondi, Joel S Winston, Dean R Freestone, Andreas Schulze-Bonhage, Benjamin H Brinkmann, Mark P Richardson

Abstract readObservational Study
In one paragraph

Observational study in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Observational
  12. Seizure Detection Devices.Journal of clinical medicine · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Pedro F VianaInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0003-0861-8705
Jonas Duun-HenriksenUNEEG Medical, Lillerød, Denmark.ORCID https://orcid.org/0000-0003-1558-8225
Andrea BiondiInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0003-1072-665X
Joel S WinstonInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3957-0612
Dean R FreestoneGraeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-2411-5358
Andreas Schulze-BonhageEpilepsy Center, Department of Neurosurgery, University Medical Center Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-2382-0506
Benjamin H BrinkmannBioelectronics Neurology and Engineering Laboratory, Department of Neurology, Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-2392-8608
Mark P RichardsonInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0001-8925-3140

Funding

Optimizing Pharmacotherapy with Noninvasive Wearable Sensors and Subscalp EEGUH3NS123066 · NINDS · MAYO CLINIC ROCHESTER · PI Benjamin H Brinkmann, Gregory A Worrell · 2025 to 2026
$1.4M
Optimizing Pharmacotherapy with Noninvasive Wearable Sensors and Subscalp EEGUG3NS123066 · NINDS · MAYO CLINIC ROCHESTER · PI BRINKMANN, BENJAMIN H, WORRELL, GREGORY A · 2022 to 2024
$1.2M
Epilepsy FoundationMedical Research Council Centre for Neurodevelopmental Disorders MR/N026063/1National Institute for Health and Care Research NIHR305718NIHR Maudsley Biomedical Research CentreNINDS NIH HHS UG3 NS123066NINDS NIH HHS UH3 NS123066
6 · The paper itself

Abstract

objectiveNovel subcutaneous electroencephalography (sqEEG) systems enable prolonged, near-continuous cerebral monitoring in real-world conditions. Nevertheless, the feasibility, acceptability and overall clinical utility of these systems remain unclear. We report on the longest observational study using ultra-long-term sqEEG to date.

methodsWe conducted a 15-month prospective, observational study including 10 adult people with treatment-resistant epilepsy. After device implantation, patients were asked to record sqEEG, to use an electronic seizure diary, and to complete acceptability and usability questionnaires. sqEEG seizures were annotated visually, aided by automated detection. Individualized temporal patterns of seizure occurrence were assessed via circadian circular statistics and via Fano factor analysis.

resultsOver a median duration of 438 days, 10 patients recorded a median 18.8 h/day, totaling 71 984 h of real-world sqEEG data. Adherence and acceptability remained high throughout the study. Although 754 sqEEG seizures were recorded across patients, more than half (52%) of these were not reported in the patient diary. Of the 140 (27%) diary reports not associated with an identifiable sqEEG seizure, the majority (68%) were reported as seizures with preserved awareness. The sqEEG to diary F1 agreement score was highly variable, ranging from .06 to .97. Patient-specific patterns of circadian seizure occurrence and seizure clustering were found, including several relevant discrepancies between sqEEG and diary. SIGNIFICANCE: We demonstrate feasibility and high acceptability of ultra-long-term (months-years) sqEEG monitoring. These systems help provide real-world, more objective seizure counting compared to patient diaries. It is possible to objectively monitor individual temporal fluctuations of seizure occurrence.

Indexed as

Drug Resistant EpilepsyElectroencephalographyEpilepsyAdultFemaleHumansMaleMiddle AgedProspective StudiesSeizuresYoung Adultepilepsymobile healthseizure detectionsubcutaneous EEG

Identifiers

PMID40682766
PMCPMC12661286

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.