ArticleCurrent opinion in biomedical engineering2017
Progress and Remaining Challenges in the Application of High Frequency Oscillations as Biomarkers of Epileptic Brain.
Article in Current opinion in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- Multimodal quantitative analysis guides precise preoperative localization of epilepsy.Journal of neurology · 2025Review
- Preventive effects of transcranial photobiomodulation on epileptogenesis in a kainic acid-induced rat epilepsy model.Experimental neurology · 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
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- Patient-Specific Network Connectivity Combined With a Next Generation Neural Mass Model to Test Clinical Hypothesis of Seizure Propagation.Frontiers in systems neuroscience · 2021Article
- Distinguishing false and true positive detections of high frequency oscillations.Journal of neural engineering · 2020Article
- Detection of anomalous high-frequency events in human intracranial EEG.Epilepsia open · 2020Article
- Double-Step Machine Learning Based Procedure for HFOs Detection and Classification.Brain sciences · 2020Article
- Integrated Automatic Detection, Classification and Imaging of High Frequency Oscillations With Stereoelectroencephalography.Frontiers in neuroscience · 2020Article
- Multi-feature localization of epileptic foci from interictal, intracranial EEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
High-frequency oscillations (HFOs: 100 - 600 Hz) have been widely proposed as biomarkers of epileptic brain tissue. In addition, HFOs over a broader range of frequencies spanning 30 - 2000 Hz are potential biomarkers of both physiological and pathological brain processes. The majority of the results from humans with focal epilepsy have focused on HFOs recorded directly from the brain with intracranial EEG (iEEG) in the high gamma (65 - 100 Hz), ripple (100 - 250 Hz), and fast ripple (250 - 600 Hz) frequency ranges. These results are supplemented by reports of HFOs recorded with iEEG in the low gamma (30 - 65Hz) and very high frequency (500 - 2000 Hz) ranges. Visual detection of HFOs is laborious and limited by poor inter-rater agreement; and the need for accurate, reproducible automated HFOs detection is well recognized. In particular, the clinical translation of HFOs as a biomarker of the epileptogenic brain has been limited by the ability to reliably detect and accurately classify HFOs as physiological or pathological. Despite these challenges, there has been significant progress in the field, which is the subject of this review. Furthermore, we provide data and corresponding analytic code in an effort to promote reproducible research and accelerate clinical translation.
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Registered trials
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