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Utility of EEG Activation Procedures in Epilepsy: A Population-Based Study
Elisa Baldin1, W A Hauser, Jeffrey R Buchhalter
1*Department of Epidemiology, Gertrude H. Sergievsky Center, Columbia University, New York, New York, U.S.A.; †Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, U.S.A.; ‡Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, U.S.A.; §Department of Neurology, Mayo Clinic, Rochester, Minnesota, U.S.A. Jeffrey R. Buchhalter is now with the Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada; and ‖Division of Epidemiology, New York State Psychiatric Institute, New York, New York, U.S.A.
Sleep activation during electroencephalography (EEG) is most effective for detecting epileptiform abnormalities in newly diagnosed epilepsy patients, especially in younger individuals. This method yields more abnormalities than hyperventilation or photic stimulation.
Area of Science:
- Neurology
- Clinical Neurophysiology
Background:
- Epileptiform abnormalities on electroencephalography (EEG) are crucial for diagnosing epilepsy.
- Activation procedures during EEG aim to increase the yield of these abnormalities.
- Population-based data on the effectiveness of specific EEG activation procedures in newly diagnosed epilepsy are limited.
Purpose of the Study:
- To assess the contribution of activation procedures to detecting epileptiform abnormalities in serial EEGs.
- To identify predictors of finding activation-related abnormalities in a population-based study of newly diagnosed epilepsy.
Main Methods:
- A population-based cohort of 449 newly diagnosed epilepsy patients (aged ≥1 year) in Rochester, Minnesota (1960-1994) with at least one EEG was identified using the Rochester Epidemiology Project.
- Data on sleep, hyperventilation, and photic activation procedures, along with seizure/epilepsy characteristics, were collected via comprehensive medical record review.
Main Results:
- The yield of epileptiform abnormalities was highest for individuals aged 1-19 years at diagnosis across all activation procedures.
- For patients aged 1-19 vs. ≥20 years, sleep yield was 21.6% vs. 10.3%, photic stimulation 6.5% vs. 3.3%, and hyperventilation 10.3% vs. 5%.
- Sleep activation increased the likelihood of finding abnormalities in younger patients (1-19 years); decreased likelihood was associated with postnatal symptomatic or unknown etiology.
Conclusions:
- Sleep is the most effective EEG activation procedure for detecting epileptiform abnormalities, particularly in younger patients.
- Photic stimulation and hyperventilation showed a lower yield of abnormalities.
- Younger age at diagnosis is associated with a greater yield of abnormalities across all activation procedures.
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