ArticleEpilepsia2014
Yield of epileptiform electroencephalogram abnormalities in incident unprovoked seizures: a population-based study.
Article in Epilepsia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed, 117 citations in OpenAlex.
- Development and validation of a deep survival model to predict time to seizure from routine electroencephalography.Epilepsia · 2026Article
- 24-Hour Video EEG in the Evaluation of the Seizure-Free Patient Before Antiseizure Medication Withdrawal.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2026Article
- An Evolving Understanding of Interictal Epileptiform Discharges.Epilepsy currents · 2026Review
- Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.Epilepsia open · 2025Article
- Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy.Scientific reports · 2025Article
- Paroxysmal cortical slowing linked to drug-resistant epilepsy.EBioMedicine · 2025Article
- Epilepsy Diagnosis When the Routine Ancillary Tests Are Normal.Neurology international · 2025Review
- [Proposal for Performing Prolonged Video-EEG in the Emergency Department in a Secondary Hospital Without a Neurologist on Duty].Revista de neurologia · 2025Article
- Quantitative EEG signatures in patients with and without epilepsy development after a first seizure.Epilepsia open · 2025Article
- The Value of Normal Interictal EEGs in Epilepsy Diagnosis and Treatment Planning: A Retrospective Cohort Study using Population-level Spectral Power and Connectivity Patterns.medRxiv : the preprint server for health sciences · 2025Article
- The impact of the new definition of epilepsy on diagnosis, treatment, and short-term outcomes-A prospective study.Frontiers in neurology · 2025Article
- The diagnostic yield of a first EEG in children with suspected epilepsy: A retrospective age-related comparison between awake and sleep recordings.Clinical neurophysiology practice · 2025Article
- Improving diagnostic accuracy of routine EEG for epilepsy using deep learning.Brain communications · 2025Article
- Computer-assisted analysis of routine EEG to identify hidden biomarkers of epilepsy: A systematic review.Computational and structural biotechnology journal · 2024Review
- Optimizing electroencephalogram duration for efficient detection of epileptiform abnormalities in diverse patient groups: a retrospective study.BMC neurology · 2024Article
- Electrographic screening for infantile epileptic spasms syndrome in a single sleep-wake cycle.Epilepsia · 2024Article
- Clinical characteristics and diagnoses of 1213 children referred to a first seizure clinic.Epilepsia open · 2024Article
- Machine-learning for the prediction of one-year seizure recurrence based on routine electroencephalography.Scientific reports · 2023Article
- Article
- Impact of ambulatory EEG in the management of patients with epilepsy in resource-limited Latin American populations.Clinical neurophysiology practice · 2023Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveThe yield of epileptiform abnormalities in serial electroencephalography (EEG) studies has not been addressed in a population-based setting for subjects with incident epilepsy or a single unprovoked seizure, raising the possibility of methodologic limitations such as selection bias. Our aim was to address these limitations by assessing the yield and predictors of epileptiform abnormalities for the first and subsequent EEG recording in a study of incident epilepsy or single unprovoked seizure in Rochester, Minnesota.
methodsWe used the resources of the Rochester Epidemiology Project to identify all 619 residents of Rochester, Minnesota, born in 1920 or later with a diagnosis of incident epilepsy (n = 478) or single unprovoked seizure (n = 141) between 1960 and 1994, who had at least one EEG study. Information on all EEG studies and their results was obtained by comprehensive review of medical records.
resultsAmong subjects with epilepsy, the cumulative yield of epileptiform abnormalities was 53% after the first EEG study and 72% after the third. Among subjects with a single unprovoked seizure, the cumulative yield was 39% after the first EEG study and 68% after the third. Young age at diagnosis and idiopathic etiology were risk factors for finding epileptiform abnormalities across all EEG recordings. SIGNIFICANCE: Although the cumulative yield of epileptiform abnormalities increases over successive EEG recordings, there is a decrease in the increment for each additional EEG study after the first EEG study. This is most evident in incident epilepsy and in younger subjects. Clinically it may be worthwhile to consider that the probability of finding an epileptiform abnormality after the third nonepileptiform EEG recording is low.
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