ArticleFrontiers in neurology2021
Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System.
Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- Automated algorithms for seizure forecast: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review.Epilepsia · 2022Pooled it
- Subdermal Insertable Sensors for Health Monitoring: Applications, Challenges, and Emerging Technologies.Annals of biomedical engineering · 2026Review
- Post-Stroke Epileptogenesis as a Dynamic Network Process: State-Dependent Biomarkers, Longitudinal Monitoring, and the Concept of an Irritable Brain State.International journal of molecular sciences · 2026Review
- Electrophysiological Recording With Activated Iridium Oxide: Effective Electrode Area, Not Total Impedance, Determines Performance.The European journal of neuroscience · 2026Article
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- Article
- Investigation of stress hormones across multiday seizure cycles.Brain communications · 2026Article
- Early detection of antiseizure medication inefficacy using an implantable continuous EEG system and a personalized model: a case study.Epilepsy & behavior reports · 2025Article
- Using stereo-electroencephalography data to model the optimal intracranial venous sinus location for an endovascular seizure detection device: A feasibility study.Epilepsia open · 2025Article
- Real-world epilepsy monitoring with ultra-long-term subcutaneous electroencephalography: A 15-month prospective study.Epilepsia · 2025Observational
- The UMPIRE study: A first-in-human multicenter trial of bilateral subscalp monitoring for epileptic seizure detection.Epilepsia · 2025Article
- Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.Epilepsia · 2025Article
- Automated detection of interictal epileptiform discharges with few electroencephalographic channels.Epilepsia · 2025Article
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- State-dependent effects of responsive neurostimulation depend on seizure localization.Brain : a journal of neurology · 2025Article
- Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter.Clinical neurophysiology practice · 2025Review
- Article
- Necessary for seizure forecasting outcome metrics: Seizure frequency and benchmark model.Epilepsy research · 2024Article
- Statistical characteristics of large-scale objective tonic-clonic seizure records from medical smartwatches used in daily life.Epilepsia · 2024Article
Corrections and comments
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Authors and funding
20 authors at 6 institutions in 3 countries.
Funding
Abstract
Accurate identification of seizure activity, both clinical and subclinical, has important implications in the management of epilepsy. Accurate recognition of seizure activity is essential for diagnostic, management and forecasting purposes, but patient-reported seizures have been shown to be unreliable. Earlier work has revealed accurate capture of electrographic seizures and forecasting is possible with an implantable intracranial device, but less invasive electroencephalography (EEG) recording systems would be optimal. Here, we present preliminary results of seizure detection and forecasting with a minimally invasive sub-scalp device that continuously records EEG. Five participants with refractory epilepsy who experience at least two clinically identifiable seizures monthly have been implanted with sub-scalp devices (Minder
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Registered trials
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.