ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2018
Visually validated semi-automatic high-frequency oscillation detection aides the delineation of epileptogenic regions during intra-operative electrocorticography.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Seizure Outcome After Intraoperative Electrocorticography-Tailored Epilepsy Surgery: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- 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
- PyHFO 2.0: an open-source platform for deep learning-based clinical high-frequency oscillations analysis.Journal of neural engineering · 2025Article
- AI-based localization of the epileptogenic zone using intracranial EEG.Epilepsia open · 2025Review
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- The optimal montage to mark interictal epileptiform discharges and high-frequency oscillations in intraoperative electrocorticography.Clinical neurophysiology practice · 2025Article
- Spikes on ripples are better interictal biomarkers of epilepsy than spikes or ripples.Brain communications · 2025Article
- Using high-frequency oscillations from brief intraoperative neural recordings to predict the seizure onset zone.Communications medicine · 2024Article
- Spike ripples localize the epileptogenic zone best: an international intracranial study.Brain : a journal of neurology · 2024Article
- Simulated resections and RNS placement can optimize post-operative seizure outcomes when guided by fast ripple networks.medRxiv : the preprint server for health sciences · 2024Article
- PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application.Journal of neural engineering · 2024Article
- Pathological and Physiological High-frequency Oscillations on Electroencephalography in Patients with Epilepsy.Neuroscience bulletin · 2024Review
- Pathological neurons generate ripples at the UP-DOWN transition disrupting information transfer.Epilepsia · 2024Article
- Simulated resections and responsive neurostimulator placement can optimize postoperative seizure outcomes when guided by fast ripple networks.Brain communications · 2024Article
- Fast ripples reflect increased excitability that primes epileptiform spikes.Brain communications · 2023Article
- An approach for reliably identifying high-frequency oscillations and reducing false-positive detections.Epilepsia open · 2022Article
- Correcting for physiological ripples improves epileptic focus identification and outcome prediction.Epilepsia · 2022Article
- Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom.Brain communications · 2022Article
- Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.Frontiers in neuroscience · 2022Review
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18 authors.
Funding
Abstract
objectiveTo test the utility of a novel semi-automated method for detecting, validating, and quantifying high-frequency oscillations (HFOs): ripples (80-200 Hz) and fast ripples (200-600 Hz) in intra-operative electrocorticography (ECoG) recordings.
methodsSixteen adult patients with temporal lobe epilepsy (TLE) had intra-operative ECoG recordings at the time of resection. The computer-annotated ECoG recordings were visually inspected and false positive detections were removed. We retrospectively determined the sensitivity, specificity, positive and negative predictive value (PPV/NPV) of HFO detections in unresected regions for determining post-operative seizure outcome.
resultsVisual validation revealed that 2.81% of ripple and 43.68% of fast ripple detections were false positive. Inter-reader agreement for false positive fast ripple on spike classification was good (ICC = 0.713, 95% CI: 0.632-0.779). After removing false positive detections, the PPV of a single fast ripple on spike in an unresected electrode site for post-operative non-seizure free outcome was 85.7 [50-100%]. Including false positive detections reduced the PPV to 64.2 [57.8-69.83%].
conclusionsApplying automated HFO methods to intraoperative electrocorticography recordings results in false positive fast ripple detections. True fast ripples on spikes are rare, but predict non-seizure free post-operative outcome if found in an unresected site. SIGNIFICANCE: Semi-automated HFO detection methods are required to accurately identify fast ripple events in intra-operative ECoG recordings.
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