ArticleAnnals of clinical and translational neurology2018
Physiological and pathological high frequency oscillations in focal epilepsy.
Article in Annals of clinical and translational neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.
- A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Intranasal Artesunate Ameliorates Hippocampal LFP Abnormalities and Cellular Apoptosis in APP/PS1 Mice via a Mechanism Involving GHRH/PI3K/AKT Signaling.Molecular neurobiology · 2026Article
- Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- Time-frequency characteristics of scalp high-frequency oscillations provide complementary biomarkers in infantile epileptic spasms syndrome.Experimental physiology · 2026Article
- Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy.Research square · 2026Article
- Astrocyte-induced dynamics of a pyramidal cell with a dendrite-connected astrocyte.Journal of computational neuroscience · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 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
- Photothrombosis-induced cortical stroke mouse model produces focal electrographic epileptic human biomarkers.Experimental neurology · 2026Article
- Phenotypic Classification of Scalp High-Frequency Oscillations in Absence Epilepsy Based on Multiple Characteristics Using K-Means Clustering.Bioengineering (Basel, Switzerland) · 2026Article
- Internal and External Validation of Comprehensive High-Frequency Activity Biomarkers for Epilepsy Surgery.medRxiv : the preprint server for health sciences · 2025Article
- Self-supervised data-driven approach defines pathological high-frequency oscillations in epilepsy.Epilepsia · 2025Article
- AI-based localization of the epileptogenic zone using intracranial EEG.Epilepsia open · 2025Review
- Machine learning detection of epileptic seizure onset zone from iEEG.Biomedical engineering letters · 2025Review
- A data augmentation procedure to improve detection of spike ripples in brain voltage recordings.Neuroscience research · 2025Article
- Flexible Deep-Brain Probe for High-Fidelity Multi-Scale Recording of Epileptic Network Dynamics.Micromachines · 2025Article
- Deep learning in intracranial EEG for seizure detection: advances, challenges, and clinical applications.Frontiers in neuroscience · 2025Review
- Noninvasive classification of physiological and pathological high frequency oscillations in children.Brain communications · 2025Article
- High-frequency oscillations in epileptic and non-epileptic Alzheimer's disease patients and the differential effect of levetiracetam on the oscillations.Brain communications · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveThis study investigates high-frequency oscillations (HFOs; 65-600 Hz) as a biomarker of epileptogenic brain and explores three barriers to their clinical translation: (1) Distinguishing pathological HFOs (pathHFO) from physiological HFOs (physHFO). (2) Classifying tissue under individual electrodes as epileptogenic (3) Reproducing results across laboratories.
methodsWe recorded HFOs using intracranial EEG (iEEG) in 90 patients with focal epilepsy and 11 patients without epilepsy. In nine patients with epilepsy putative physHFOs were induced by cognitive or motor tasks. HFOs were identified using validated detectors. A support vector machine (SVM) using HFO features was developed to classify tissue under individual electrodes as normal or epileptogenic.
resultsThere was significant overlap in the amplitude, frequency, and duration distributions for spontaneous physHFO, task induced physHFO, and pathHFO, but the amplitudes of the pathHFO were higher (
interpretationA broader range of interictal pathHFO (65-600 Hz) than previously recognized are biomarkers of epileptogenic brain, and are associated with SOZ and surgical outcome. Classification of HFOs into physiological or pathological remains challenging. Classification of tissue under individual electrodes was demonstrated to be feasible. The open source data and algorithms provide a resource for future studies.
Identifiers
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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.