ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2016
Universal automated high frequency oscillation detector for real-time, long term EEG.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed, 99 citations in OpenAlex.
- The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy.Neurology · 2026Article
- Discovering Novel intracranial EEG Biomarkers of Seizure Generating Tissue through Time-Frequency Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Eigenvector biomarker for prediction of epileptogenic zones and surgical success from interictal data.Frontiers in network physiology · 2025Article
- Electrode Surface Area Impacts Measurement of High Frequency Oscillations in Human Intracranial EEG.IEEE transactions on bio-medical engineering · 2024Article
- Practical measurements distinguishing physiological and pathological stereoelectroencephalography channels based on high-frequency oscillations in the human brain.Epilepsia open · 2024Article
- Optimizing automated detection of high frequency oscillations using visual markings does not improve SOZ localization.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
- A real-time HFO detection framework for localization of SOZ in iEEG recording of patients with epilepsy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Estimation of Circular Statistics in the Presence of Measurement Bias.IEEE journal of biomedical and health informatics · 2024Article
- Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation.Frontiers in network physiology · 2024Article
- High frequency oscillation network dynamics predict outcome in non-palliative epilepsy surgery.Brain communications · 2024Article
- Dynamic Changes in Local Activity and Network Interactions among the Anterior Cingulate, Amygdala, and Cerebellum during Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Passive and active markers of cortical excitability in epilepsy.Epilepsia · 2023Review
- Epileptic seizure focus detection from interictal electroencephalogram: a survey.Cognitive neurodynamics · 2023Review
- Source-sink connectivity: a novel interictal EEG marker for seizure localization.Brain : a journal of neurology · 2022Article
- Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples.Sensors (Basel, Switzerland) · 2022Article
- A sparse representation strategy to eliminate pseudo-HFO events from intracranial EEG for seizure onset zone localization.Journal of neural engineering · 2022Article
- Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.Journal of neural engineering · 2022Article
- Neural fragility as an EEG marker of the seizure onset zone.Nature neuroscience · 2021Article
- Extensions of Granger Causality Calculations on Brain Networks for Efficient and Accurate Seizure Focus Identification via iEEGs.Brain sciences · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveInterictal high frequency oscillations (HFOs) in intracranial EEG are a potential biomarker of epilepsy, but current automated HFO detectors require human review to remove artifacts. Our objective is to automatically redact false HFO detections, facilitating clinical use of interictal HFOs.
methodsIntracranial EEG data from 23 patients were processed with automated detectors of HFOs and artifacts. HFOs not concurrent with artifacts were labeled quality HFOs (qHFOs). Methods were validated by human review on a subset of 2000 events. The correlation of qHFO rates with the seizure onset zone (SOZ) was assessed via (1) a retrospective asymmetry measure and (2) a novel quasi-prospective algorithm to identify SOZ.
resultsHuman review estimated that less than 12% of qHFOs are artifacts, whereas 78.5% of redacted HFOs are artifacts. The qHFO rate was more correlated with SOZ (p=0.020, Wilcoxon signed rank test) and resected volume (p=0.0037) than baseline detections. Using qHFOs, our algorithm was able to determine SOZ in 60% of the ILAE Class I patients, with all algorithmically-determined SOZs fully within the resected volumes.
conclusionsThe algorithm reduced false-positive HFO detections, improving the precision of the HFO-biomarker. SIGNIFICANCE: These methods provide a feasible strategy for HFO detection in real-time, continuous EEG with minimal human monitoring of data quality.
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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.