Consistent topography and amplitude symmetry are more typical than morphology of epileptiform discharges in genetic generalized epilepsy
- PMID: 26452310
- DOI: 10.1016/j.clinph.2015.08.019
Consistent topography and amplitude symmetry are more typical than morphology of epileptiform discharges in genetic generalized epilepsy
Abstract
Objective: To provide a quantitative evaluation of typical electroencephalographic (EEG) abnormalities in genetic generalized epilepsy (GGE).
Methods: We prospectively performed 24-h ambulatory EEG recordings in a cohort of patients with GGE. The diagnosis was established according to the International League Against Epilepsy criteria. Details of all epileptiform discharges across the 24-h time scale were entered into an electronic database. We carried out descriptive statistics to provide a quantitative breakdown of typical EEG abnormalities.
Results: A total of 6923 epileptiform discharges from 105 abnormal 24-h ambulatory EEGs were analyzed. 96% of discharges were symmetric in amplitude with fronto-central maximum topographically. Only 24% of the paroxysms had typical morphology while 43% were regular. Photoparoxysmal response, eye-closure sensitivity and hyperventilation-induced generalized paroxysms were less common in around 10%, whereas occipital intermittent rhythmic delta activity was very rare (2%).
Conclusion: Our results indicate that generalized discharges with symmetric amplitude and fronto-central maxima are the most consistent findings in GGE, and other features are observed less frequently.
Significance: Epileptiform discharges displaying highly consistent amplitude symmetry coupled with fronto-central topography should provoke consideration of GGE. Recognition of variations from typical abnormalities is important to avoid the risk of misdiagnosis and delayed diagnosis.
Keywords: EEG; Generalized epilepsy; Morphology; Seizure; Spike–wave; Topography.
Crown Copyright © 2015. Published by Elsevier Ireland Ltd. All rights reserved.
Comment in
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Generalized epilepsy: Don't look too close.Clin Neurophysiol. 2016 Feb;127(2):989-990. doi: 10.1016/j.clinph.2015.09.128. Epub 2015 Sep 28. Clin Neurophysiol. 2016. PMID: 26454690 No abstract available.
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