Observational studyEpilepsia2025
Real-world epilepsy monitoring with ultra-long-term subcutaneous electroencephalography: A 15-month prospective study.
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.
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Who cites it
12 citing papers in PubMed.
- Monitoring Antiseizure Medication Change Using Ultra Long-Term Electroencephalogram: A Multicenter Study.Annals of neurology · 2026Article
- When seizure counts are not seizures: Measurement error and its implications for epilepsy management and driving policy.Epilepsia · 2026Article
- Is Ultra-Long-Term Subscalp EEG Ready to Go "Solo"? Transforming the Landscape of Antiseizure Medication Management.Epilepsy currents · 2026Article
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- Anti-Inflammatory and Antioxidant Strategies in Epilepsy: From Molecular Mechanisms to Threshold Management.International journal of molecular sciences · 2026Review
- How Much Does the Reduced EEG Montage Matter for Seizure Detection?: A Large-Cohort Simulation Study.medRxiv : the preprint server for health sciences · 2026Article
- Objective outcome assessment in epilepsy surgery using ultralong-term subcutaneous EEG: A case report.Epilepsia open · 2026Article
- Characteristics of subclinical seizures in an adult epilepsy population-a retrospective observational study.Frontiers in neurology · 2026Observational
- Ultra long-term EEG monitoring for developmental and epileptic encephalopathies: protocol for a prospective study using subscalp EEG.Clinical neurophysiology practice · 2026Article
- Seizure detection using ultra-long-term subcutaneous electroencephalography: A deep learning CNN-BiLSTM approach.Epilepsia · 2026Article
- Real-world epilepsy monitoring with ultra-long-term subcutaneous electroencephalography: A 15-month prospective study.Epilepsia · 2025Observational
- Seizure Detection Devices.Journal of clinical medicine · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
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.
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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.