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Updated: Feb 3, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Clinical Features at the Time of Diagnosis of Benign Epilepsy With Centrotemporal Spikes Do Not Predict Subsequent
Nathan Watemberg1, Sveta Afunevitz2, Esther Ganelin-Cohen3
1Child Neurology Unit, Meir Medical Center, Tel Aviv University, Israel.
Background:
Benign epilepsy with centrotemporal spikes (BECTs) usually follows a self-limited course, with a single or few seizures. Assessing the likelihood of a second seizure after the first event may help establishing the need for antiepileptic drug therapy at the time of diagnosis. We aimed at identifying clinical and/or electrographic features that could predict the occurrence of a second seizure.
Methods:
We reviewed the clinical and electroencephalographic (EEG) data of children diagnosed with BECTs between 2006 and 2012. Demographic, clinical, routine, and sleep-deprived EEG findings were analyzed.
Findings:
Seventy-three patients were reviewed who had been followed for four to 10 years. Age at first seizure ranged between three and 16 years (median nine years). In 28 children the first seizure occurred after 10 years age. Ten children were aged three to six years. EEG data were available for 64 individuals. No specific clinical features or seizure semiology were predictive of a second seizure. Neither the type nor the location of interictal EEG discharges was indicative of a second seizure. Among children whose EEG records depicted sleep-related enhancement of interictal discharges, 58.8% sustained a second seizure. This finding did not reach statistical significance. Forty children sustained a second seizure, mostly within 12 months in 30 (P < 0.0001). Among these 30 children, the second event occurred after a median period of 156 days, compared with 654 days for cases with a second seizure after 12 months.
Conclusions:
Neither clinical features, seizure characteristics, nor routine EEG findings were effective in predicting the likelihood of a second seizure in children with BECTs.
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