ArticleAnnals of clinical and translational neurology2020
Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery.
Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic Value of Complete Resection of the High-Frequency Oscillation Area in Intracranial EEG: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- Phenotypic Classification of Scalp High-Frequency Oscillations in Absence Epilepsy Based on Multiple Characteristics Using K-Means Clustering.Bioengineering (Basel, Switzerland) · 2026Article
- Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Not All Spikes Are Equal.Journal of clinical medicine · 2025Review
- Article
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Noninvasive classification of physiological and pathological high frequency oscillations in children.Brain communications · 2025Article
- High-frequency oscillations in scalp EEG lateralize to the epileptogenic hemisphere in children and adults.Clinical neurophysiology practice · 2025Article
- Electroencephalographic source imaging of spikes with concurrent high-frequency oscillations is concordant with the clinical ground truth.Epilepsia · 2024Article
- Magnetoencephalography for Epilepsy Presurgical Evaluation.Current neurology and neuroscience reports · 2024Review
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- Sleep Spindle Generation Before and After Epilepsy Surgery: A Source Imaging Study in Children with Drug-Resistant Epilepsy.Brain topography · 2024Article
- Low-density scalp electrical source imaging of the ictal onset zone network using source coherence maps.Frontiers in neurology · 2024Article
- Electromagnetic source imaging predicts surgical outcome in children with focal cortical dysplasia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Non-invasive mapping of epileptogenic networks predicts surgical outcome.Brain : a journal of neurology · 2023Article
- Interictal magnetoencephalography abnormalities to guide intracranial electrode implantation and predict surgical outcome.Brain communications · 2023Article
- An approach for reliably identifying high-frequency oscillations and reducing false-positive detections.Epilepsia open · 2022Article
- Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022Article
- Novel User-Friendly Application for MRI Segmentation of Brain Resection following Epilepsy Surgery.Diagnostics (Basel, Switzerland) · 2022Article
- Advanced neuroimaging techniques in epilepsy.Current opinion in neurology · 2022Review
Corrections and comments
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Authors and funding
8 authors.
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Abstract
objectiveTo assess the ability of high-density Electroencephalography (HD-EEG) and magnetoencephalography (MEG) to localize interictal ripples, distinguish between ripples co-occurring with spikes (ripples-on-spike) and independent from spikes (ripples-alone), and evaluate their localizing value as biomarkers of epileptogenicity in children with medically refractory epilepsy.
methodsWe retrospectively studied 20 children who underwent epilepsy surgery. We identified ripples on HD-EEG and MEG data, localized their generators, and compared them with intracranial EEG (icEEG) ripples. When ripples and spikes co-occurred, we performed source imaging distinctly on the data above 80 Hz (to localize ripples) and below 70 Hz (to localize spikes). We assessed whether missed resection of ripple sources predicted poor outcome, separately for ripples-on-spikes and ripples-alone. Similarly, predictive value of spikes was calculated.
resultsWe observed scalp ripples in 16 patients (10 good outcome). Ripple sources were highly concordant to the icEEG ripples (HD-EEG concordance: 79%; MEG: 83%). When ripples and spikes co-occurred, their sources were spatially distinct in 83-84% of the cases. Removing the sources of ripples-on-spikes predicted good outcome with 90% accuracy for HD-EEG (P = 0.008) and 86% for MEG (P = 0.044). Conversely, removing ripples-alone did not predict outcome. Resection of spike sources (generated at the same time as ripples) predicted good outcome for HD-EEG (P = 0.036; accuracy = 87%), while did not reach significance for MEG (P = 0.1; accuracy = 80%).
interpretationHD-EEG and MEG localize interictal ripples with high precision in children with refractory epilepsy. Scalp ripples-on-spikes are prognostic, noninvasive biomarkers of epileptogenicity, since removing their cortical generators predicts good outcome. Conversely, scalp ripples-alone are most likely generated by non-epileptogenic areas.
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