4.2 Article

Serial postoperative awake and sleep EEG and long-term seizure outcome after anterior temporal lobectomy for hippocampal sclerosis

Journal

EPILEPSY RESEARCH
Volume 108, Issue 5, Pages 945-952

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.eplepsyres.2014.03.010

Keywords

Temporal lobe epilepsy with hippocampal sclerosis; Epilepsy surgery; Postoperative EEG; Outcome

Funding

  1. 'Neurone' Foundation for research in neuropsychobiology and clinical neurosciences, Rome, Italy

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Objective: To test if postoperative prolonged awake and sleep EEG monitoring predict long-term seizure outcome in patients operated for drug-resistant temporal lobe epilepsy due to hippocampal sclerosis (TLE-HS). Methods: This longitudinal study includes 107 patients with MTLE-HS who underwent anterior temporal lobectomy (ATL), were followed for at least 5 years (mean 8.3, range 5-12), had postoperative EEG after 2 months and at least one prolonged video-EEG monitoring during both wakefulness and sleep after 12 and 24 months. At each follow-up visit, the presence of interictal epileptiform discharges (IED) was determined, and seizure outcome was evaluated. Results: Sixty-six patients (62%) remained free from auras and seizures throughout the followup period. Twenty-six (24%), 22 (21%), and 16 (16%) patients had IED at the 2-month, 12-month, and 24-month follow-up, respectively. The presence of IED at each time point was found to be associated with seizure or aura recurrence. Sleep recording contributed to the identification of patients with IED, as half of patients with IED displayed anomalies in sleep EEG only. In multivariate analysis, the presence of IED 2 months after surgery was found to be associated with seizure or aura recurrence independent of pre-operative factors consistently reported as outcome predictors in the literature. Conclusions: The presence of IED in serial postoperative EEG including sleep recording may predict long-term seizure outcome after ATL for TLE-HS. Serial postoperative EEGs may contribute to outcome prediction and help making decision about medication withdrawal in patients operated for TLE-HS. (C) 2014 Published by Elsevier B.V.

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