ArticleJournal of neuroscience methods2017
A semi-automated method for rapid detection of ripple events on interictal voltage discharges in the scalp electroencephalogram.
Article in Journal of neuroscience methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 41 citations in OpenAlex.
- Discovering Novel intracranial EEG Biomarkers of Seizure Generating Tissue through Time-Frequency Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Inroads into epilepsy through high-frequency oscillations: Achievements and benchmark areas for improvement.Epilepsia · 2026Review
- Multi-kernel convolutional neural network with attention mechanism for RonS detection.Medical & biological engineering & computing · 2026Article
- Photothrombosis-induced cortical stroke mouse model produces focal electrographic epileptic human biomarkers.Experimental neurology · 2026Article
- Consensus-based Sharp-Wave Ripple detection and its application in an alcohol administration model.Frontiers in systems neuroscience · 2026Article
- Mapping epileptogenic brain using a unified spatial-temporal-spectral source imaging framework.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Differentiation of breast cancer subtypes and correlation with biological status using functional magnetic resonance imaging: comparison with amide proton transfer-weighted imaging and diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2025Article
- A data augmentation procedure to improve detection of spike ripples in brain voltage recordings.Neuroscience research · 2025Article
- Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke-like episodes (MELAS) with high-frequency oscillations on scalp EEG: A case report.Epilepsy & behavior reports · 2025Article
- Spike ripples localize the epileptogenic zone best: an international intracranial study.Brain : a journal of neurology · 2024Article
- Differential cortical layer engagement during seizure initiation and spread in humans.Nature communications · 2024Article
- Correlation between scalp high-frequency oscillations and prognosis in patients with benign epilepsy of childhood with centrotemporal spikes.CNS neuroscience & therapeutics · 2023Article
- Network analysis of preictal iEEG reveals changes in network structure preceding seizure onset.Scientific reports · 2022Article
- Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2022Article
- Evaluation of Amide Proton Transfer-Weighted Imaging for Risk Factors in Stage I Endometrial Cancer: A Comparison With Diffusion-Weighted Imaging and Diffusion Kurtosis Imaging.Frontiers in oncology · 2022Article
- Spike ripples in striatum correlate with seizure risk in two mouse models.Epilepsy & behavior reports · 2022Article
- Application of a convolutional neural network for fully-automated detection of spike ripples in the scalp electroencephalogram.Journal of neuroscience methods · 2021Article
- Hippocampal sharp wave ripples during invasive monitoring: A physiologic finding.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021Article
- Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer.European radiology · 2021Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundHigh frequency oscillations are emerging as a clinically important indicator of epileptic networks. However, manual detection of these high frequency oscillations is difficult, time consuming, and subjective, especially in the scalp EEG, thus hindering further clinical exploration and application. Semi-automated detection methods augment manual detection by reducing inspection to a subset of time intervals. We propose a new method to detect high frequency oscillations that co-occur with interictal epileptiform discharges. NEW
methodThe new method proceeds in two steps. The first step identifies candidate time intervals during which high frequency activity is increased. The second step computes a set of seven features for each candidate interval. These features require that the candidate event contain a high frequency oscillation approximately sinusoidal in shape, with at least three cycles, that co-occurs with a large amplitude discharge. Candidate events that satisfy these features are stored for validation through visual analysis.
resultsWe evaluate the detector performance in simulation and on ten examples of scalp EEG data, and show that the proposed method successfully detects spike-ripple events, with high positive predictive value, low false positive rate, and high intra-rater reliability. COMPARISON WITH EXISTING
methodThe proposed method is less sensitive than the existing method of visual inspection, but much faster and much more reliable.
conclusionsAccurate and rapid detection of high frequency activity increases the clinical viability of this rhythmic biomarker of epilepsy. The proposed spike-ripple detector rapidly identifies candidate spike-ripple events, thus making clinical analysis of prolonged, multielectrode scalp EEG recordings tractable.
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