ArticleFrontiers in human neuroscience2015
High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis.
Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.
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Who cites it
80 citing papers in PubMed, 2 syntheses or guidelines pooled it, 163 citations in OpenAlex.
- Prognostic Value of Complete Resection of the High-Frequency Oscillation Area in Intracranial EEG: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- Association between Removal of High-Frequency Oscillations and the Effect of Epilepsy Surgery: A Meta-Analysis.Journal of neurological surgery. Part A, Central European neurosurgery · 2024Pooled it
- Intraoperative electrocorticography using high-frequency oscillations or spikes to tailor epilepsy surgery in the Netherlands (the HFO trial): a randomised, single-blind, adaptive non-inferiority trial.The Lancet. Neurology · 2022Trial
- Removing high-frequency oscillations: A prospective multicenter study on seizure outcome.Neurology · 2018Trial
- The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy.Neurology · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 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
- Investigation of the relationship between 0.5-1200 Hz signal characteristics of cortical high-frequency oscillations and epileptogenicity through multivariate analysis.Epilepsy & behavior reports · 2025Article
- Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning.Scientific reports · 2025Article
- Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral-Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals.Brain sciences · 2025Article
- Spikes on ripples are better interictal biomarkers of epilepsy than spikes or ripples.Brain communications · 2025Article
- Source Causal Connectivity Noninvasively Predicting Surgical Outcomes of Drug-Refractory Epilepsy.CNS neuroscience & therapeutics · 2025Article
- Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Spike ripples localize the epileptogenic zone best: an international intracranial study.Brain : a journal of neurology · 2024Article
- High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.Brain communications · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- High frequency oscillations in relation to interictal spikes in predicting postsurgical seizure freedom.Scientific reports · 2023Article
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity. Current research strives for valid evidence that these HFOs could aid the delineation of the to-be resected area in patients with refractory epilepsy and improve surgical outcomes. In the present meta-analysis, we evaluated the relation between resection of regions from which HFOs can be detected and outcome after epilepsy surgery. We conducted a systematic review of all studies that related the resection of HFO-generating areas to postsurgical outcome. We related the outcome (seizure freedom) to resection ratio, that is, the ratio between the number of channels on which HFOs were detected and, among these, the number of channels that were inside the resected area. We compared the resection ratio between seizure free and not seizure free patients. In total, 11 studies were included. In 10 studies, ripples (80-200 Hz) were analyzed, and in 7 studies, fast ripples (>200 Hz) were studied. We found comparable differences (dif) and largely overlapping confidence intervals (CI) in resection ratios between outcome groups for ripples (dif = 0.18; CI: 0.10-0.27) and fast ripples (dif = 0.17; CI: 0.01-0.33). Subgroup analysis showed that automated detection (dif = 0.22; CI: 0.03-0.41) was comparable to visual detection (dif = 0.17; CI: 0.08-0.27). Considering frequency of HFOs (dif = 0.24; CI: 0.09-0.38) was related more strongly to outcome than considering each electrode that was showing HFOs (dif = 0.15; CI = 0.03-0.27). The effect sizes found in the meta-analysis are small but significant. Automated detection and application of a detection threshold in order to detect channels with a frequent occurrence of HFOs is important to yield a marker that could be useful in presurgical evaluation. In order to compare studies with different methodological approaches, detailed and standardized reporting is warranted.
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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.