ReviewNature reviews. Neurology2018
Seizure prediction - ready for a new era.
Review in Nature reviews. Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
139 citing papers in PubMed, 1 synthesis or guideline pooled it.
- User involvement in the design and development of medical devices in epilepsy: A systematic review.Epilepsia open · 2024Pooled it
- Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities.Scientific reports · 2020Trial
- Elevation in plasma tRNA fragments precede seizures in human epilepsy.The Journal of clinical investigation · 2019Trial
- Advancing the Paradigm of Temporal Lobe Epilepsy as a Network Disease: The Promise of Biomarkers and Targeted Disease Modification.International journal of molecular sciences · 2026Review
- When seizure counts are not seizures: Measurement error and its implications for epilepsy management and driving policy.Epilepsia · 2026Article
- Directed graph neural networks with partial directed coherence for seizure prediction and epileptogenic network characterization.iScience · 2026Article
- 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
- Article
- Article
- Unlocking Insights from Postictal EEGs: Investigating Predictive Markers of Seizure Recurrence.Annals of biomedical engineering · 2026Article
- Neuronal silence as a predictive biomarker and target for epileptic seizures suppression.Scientific reports · 2026Article
- Review
- Out of the lab, into real life: Evaluating at-home EEG self-monitoring.Epilepsia open · 2026Article
- Timing is everything: Expert opinion on researching epilepsy rhythms by the ILAE Task Force on Chronobiology.Epilepsia · 2026Review
- The application of AI-driven digital phenotyping and interventions in neuropsychiatric disorders.Frontiers in psychiatry · 2026Review
- Digital Tools for Seizure Monitoring and Self-Management in Epilepsy: A Narrative Review.Journal of clinical medicine · 2025Review
- Article
- Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.Epilepsia · 2025Article
- Autonomic biosignals, seizure detection, and forecasting.Epilepsia · 2025Review
- Perspective of parents of children with type 1 diabetes on the future of their child: a qualitative study.BMJ paediatrics open · 2025Article
79 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming majority of people with epilepsy regard the unpredictability of seizures as a major issue. More than 30 years of international effort have been devoted to the prediction of seizures, aiming to remove the burden of unpredictability and to couple novel, time-specific treatment to seizure prediction technology. A highly influential review published in 2007 concluded that insufficient evidence indicated that seizures could be predicted. Since then, several advances have been made, including successful prospective seizure prediction using intracranial EEG in a small number of people in a trial of a real-time seizure prediction device. In this Review, we examine advances in the field, including EEG databases, seizure prediction competitions, the prospective trial mentioned and advances in our understanding of the mechanisms of seizures. We argue that these advances, together with statistical evaluations, set the stage for a resurgence in efforts towards the development of seizure prediction methodologies. We propose new avenues of investigation involving a synergy between mechanisms, models, data, devices and algorithms and refine the existing guidelines for the development of seizure prediction technology to instigate development of a solution that removes the burden of the unpredictability of seizures.
Indexed as
Identifiers
30131521What OpenQuestion holds
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.