ArticleAnnals of neurology2021
Scalp Ripples Can Predict Development of Epilepsy After First Unprovoked Seizure in Childhood.
Article in Annals of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Prognostic factors predicting an unprovoked seizure recurrence in children and adults following a first unprovoked seizure.The Cochrane database of systematic reviews · 2025Pooled it
- Seizure Outcome After Intraoperative Electrocorticography-Tailored Epilepsy Surgery: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- Prognosis of adults and children following a first unprovoked seizure.The Cochrane database of systematic reviews · 2023Pooled it
- Inroads into epilepsy through high-frequency oscillations: Achievements and benchmark areas for improvement.Epilepsia · 2026Review
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Multi-kernel convolutional neural network with attention mechanism for RonS detection.Medical & biological engineering & computing · 2026Article
- Scalp high-frequency activity differentiates neonates with seizures from healthy neonates and indicates postneonatal epilepsy risk.Epilepsia · 2026Article
- Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework.Research square · 2026Article
- Not All Spikes Are Equal.Journal of clinical medicine · 2025Review
- Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.Epilepsia open · 2025Article
- High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer's disease dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Electroencephalographic Biomarkers for Neuropsychiatric Diseases: The State of the Art.Bioengineering (Basel, Switzerland) · 2025Review
- Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy.NPJ digital medicine · 2025Article
- Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) with high-frequency oscillations on scalp EEG: A case report.Epilepsy & behavior reports · 2025Article
- The appearance of scalp high-frequency oscillations is associated with poor seizure control in pediatric epilepsy patients.Epilepsia open · 2025Article
- Improving diagnostic accuracy of routine EEG for epilepsy using deep learning.Brain communications · 2025Article
- Neuronal current imaging of epileptic activity: An MRI study in patients with a first unprovoked epileptic seizure.Epilepsia open · 2024Observational
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- Scalp high-frequency oscillations differentiate neonates with seizures from healthy neonates.Epilepsia open · 2023Article
- Correlation between scalp high-frequency oscillations and prognosis in patients with benign epilepsy of childhood with centrotemporal spikes.CNS neuroscience & therapeutics · 2023Article
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIdentification of children at risk of developing epilepsy after a first unprovoked seizure can be challenging. Interictal epileptiform discharges are associated with higher risk but have limited sensitivity and specificity. High frequency oscillations (HFOs) are newer biomarkers for epileptogenesis. We prospectively evaluated the predictive value of HFOs for developing epilepsy in scalp electroencephalogram (EEG) of children after a first unprovoked seizure.
methodsAfter their first seizure, 56 children were followed prospectively over 12 months and then grouped in "epilepsy" or "no epilepsy." Initial EEGs were visually analyzed for spikes, spike ripples, and ripples. Inter-group comparisons of spike-rates and HFO-rates were done by Mann-Whitney U test. Predictive values and optimal thresholds were calculated by receiver operating characteristic (ROC) curves.
resultsIn the epilepsy group (n = 26, 46%), mean rates of ripples (0.3 vs 0.09 / minute, p < 0.0001) and spike ripples (0.6 vs 0.06 / minute, p < 0.05) were significantly higher, with no difference in spike rates (1.7 vs 3.0 / minute, p = 0.38). Of those 3 markers, ripples showed the best predictive value (area under the curve [AUC]
interpretationWe could show that in a cohort of children with a first unprovoked seizure, ripples predict the development of epilepsy better than spikes or spike ripples and might be useful biomarkers in the estimation of prognosis and question of treatment. ANN NEUROL 2021;89:134-142.
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