ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2020
A standardized nomenclature for spectrogram EEG patterns: Inter-rater agreement and correspondence with common intensive care unit EEG patterns.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Automating Critical Care EEG: Enhancing Accuracy, Efficiency, and Patient Outcomes in Critical Care.Epilepsy currents · 2026Article
- Harvard Electroencephalography Database: A comprehensive clinical electroencephalographic resource from four Boston hospitals.Epilepsia · 2025Article
- Dissociating physiological ripples and epileptiform discharges with vision transformers.bioRxiv : the preprint server for biology · 2025Article
- Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- Teaching the 6 EEG Spectrogram Patterns Using an Infographic.Neurology. Education · 2024Article
- Utility of Quantitative EEG in Neurological Emergencies and ICU Clinical Practice.Brain sciences · 2024Review
- Intraoperative pediatric electroencephalography monitoring: an updated review.Korean journal of anesthesiology · 2024Review
- Review of Noninvasive Neuromonitoring Modalities in Children II: EEG, qEEG.Neurocritical care · 2023Review
- Processed Electroencephalogram-Based Monitoring to Guide Sedation in Critically Ill Adult Patients: Recommendations from an International Expert Panel-Based Consensus.Neurocritical care · 2023Article
- Recent applications of quantitative electroencephalography in adult intensive care units: a comprehensive review.Journal of neurology · 2022Review
- Electroencephalogram in the intensive care unit: a focused look at acute brain injury.Intensive care medicine · 2022Review
- Seizure Detection in Continuous Inpatient EEG: A Comparison of Human vs Automated Review.Neurology · 2022Article
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13 authors.
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Abstract
objectiveTo determine the inter-rater agreement (IRA) of a standardized nomenclature for EEG spectrogram patterns, and to estimate the probability distribution of ictal-interictal continuum (IIC) patterns vs. other EEG patterns within each category in this nomenclature.
methodsWe defined seven spectrogram categories: "Solid Flames", "Irregular Flames", "Broadband-monotonous", "Narrowband-monotonous", "Stripes", "Low power", and "Artifact". Ten electroencephalographers scored 115 spectrograms and the corresponding raw EEG samples. Gwet's agreement coefficient was used to calculate IRA.
resultsSolid Flames represented seizures or IIC patterns 69.4% of the time. Irregular Flames represented seizures or IIC patterns 38.7% of the time. Broadband-monotonous primarily corresponded with seizures or IIC (54.3%) and Narrowband-monotonous with focal or generalized slowing (43.8%). Stripes were associated with burst-suppression (37.2%) and generalized suppression (34.4%). Low Power category was associated with generalized suppression (94%). There was "near perfect" agreement for Solid Flames (κ = 94.36), Low power (κ = 92.61), and Artifact (κ = 93.72). There was "substantial agreement" for all other categories (κ = 74.65-79.49).
conclusionsThis EEG spectrogram nomenclature has high IRA among electroencephalographers. SIGNIFICANCE: The nomenclature can be a useful tool for EEG screening. Future studies are needed to determine if using this nomenclature shortens time to IIC identification, and how best to use it in practice to reduce time to intervention.
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