Evidence map›Paper›PMID 39606353›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Real-world epilepsy monitoring with ultra long-term subcutaneous EEG: 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 readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Pedro F VianaInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RT, United Kingdom.
Jonas Duun-HenriksenUNEEG medical A/S, 3450 Lillerød, Denmark.
Andrea BiondiInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RT, United Kingdom.
Joel S WinstonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RT, United Kingdom.
Dean R FreestoneGraeme Clark Institute, University of Melbourne, Australia.
Andreas Schulze-BonhageEpilepsy Center, Department for Neurosurgery, University Medical Center Freiburg, 79106 Freiburg, Germany.
Benjamin H BrinkmannBioelectronics Neurology and Engineering Laboratory, Department of Neurology, Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55901, USA.
Mark P RichardsonInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RT, United Kingdom.ORCID 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
NINDS NIH HHS UG3 NS123066NINDS NIH HHS UH3 NS123066
6 · The paper itself

Abstract

Objective: Novel 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 remains unclear. We report on the longest observational study using ultra long-term sqEEG to date. Methods: We conducted a 15-month prospective, observational study including ten 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. Seizure clustering was assessed via Fano Factor analysis and seizure periodicity at multiple timescales was investigated through circular statistics. Results: Over a median duration of 438 days, ten patients recorded a median 18.8 hours/day, totalling 71,984 hours of real-world sqEEG data. Adherence and acceptability remained high throughout the study. While 754 sqEEG seizures were recorded across patients, over 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 0.06 to 0.97. Patient-specific patterns of seizure clustering and seizure periodicity were observed at multiple (circadian and multidien) timescales. Interpretation: 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 monitor individual temporal fluctuations of seizure occurrence, including seizure cycles.

Indexed as

epilepsymobile healthseizure detectionsubcutaneous EEG

Identifiers

PMID39606353
PMCPMC11601716

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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.