Can EEG Differentiate Among Syndromes in Genetic Generalized Epilepsy?

    loading  Checking for direct PDF access through Ovid

Abstract

Purpose:

To evaluate EEG differences among syndromes in genetic generalized epilepsy based on quantified data.

Methods:

Twenty-four-hour ambulatory EEGs were recorded in consecutive patients diagnosed with genetic generalized epilepsy. All epileptiform EEG abnormalities were quantified into density scores (total duration of epileptiform discharges per hour). One-way analysis of variance was conducted to find out differences in EEG density scores among the syndromes. Generalized linear mixed models were also fitted to explore the association between the proportion of “pure” generalized spike–wave paroxysms and fragments (without intervening polyspikes/polyspike–waves) and the syndromes.

Results:

In total, 6,923 epileptiform discharges were analyzed from 105 abnormal EEGs. In the analysis of variance, six EEG variables were significantly different among syndromes: total spike density (P = 0.001), total polyspike and polyspike–wave density (P = 0.049), generalized spike–wave–only density (P < 0.001), generalized paroxysm density (P < 0.001), generalized paroxysm duration mean (P = 0.018), and generalized paroxysm duration maximum (P = 0.009). The density of epileptiform discharges and the paroxysm durations were the highest in juvenile absence epilepsy followed by juvenile myoclonic epilepsy, childhood absence epilepsy, and generalized epilepsy with tonic–clonic seizures only. Generalized linear mixed models revealed that “pure” generalized spike–wave discharges (without intervening polyspikes/polyspike waves) tended to be more frequent in absence epilepsies, although the difference was not statistically significant (P = 0.21).

Conclusions:

The findings of this study suggest that the density and duration of epileptiform discharges can help differentiate among genetic generalized epilepsy syndromes.

Related Topics

    loading  Loading Related Articles