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Changes of interictal epileptiform discharges during medication withdrawal and seizures: A scalp EEG marker of epileptogenicity.
De Stefano, Pia; Ménétré, Eric; Vulliémoz, Serge; Van Mierlo, Pieter; Seeck, Margitta.
Affiliation
  • De Stefano P; EEG and Epilepsy Unit, University Hospitals of Geneva, Geneva, Switzerland.
  • Ménétré E; Neuro-Intensive Care Unit, Department of Intensive Care, University Hospitals of Geneva, Geneva, Switzerland.
  • Vulliémoz S; EEG and Epilepsy Unit, University Hospitals of Geneva, Geneva, Switzerland.
  • Van Mierlo P; EEG and Epilepsy Unit, University Hospitals of Geneva, Geneva, Switzerland.
  • Seeck M; Medical Image and Signal Processing Group, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium.
Clin Neurophysiol Pract ; 7: 279-284, 2022.
Article in En | MEDLINE | ID: mdl-36312513
ABSTRACT

Objective:

To determine the influence of antiseizure medication (ASM) withdrawal on interictal epileptogenic discharges (IEDs) in scalp-EEG and seizure propensity.

Methods:

We included 35 adult unifocal epilepsy patients admitted for presurgical evaluation in the EEG and Epilepsy Unit of Geneva between 2016 and 2020, monitored for at least 5 days. ASM was individually tapered down, and automated IED detection was performed using Epilog PreOp (Epilog NV, Belgium, Ghent). We compared spike rate per hour (SR) at day 1 when patients were on full medication (baseline) with SR at the day with the lowest dose of medication. To determine possible peri-ictal changes of SR, we compared SR 8 h before and after a seizure with the SR at the same time of the baseline day.

Results:

Our results showed a significant increase in spiking activity in the day of lowest drug load if compared to spike rate at day on full medication (p < 0.001). The total amount of spikes during 24 h correlated significantly with seizure occurrence (p < 0.0001). We also revealed significant increase in peri-ictal SR, in particular 2-4 h preceding a seizure (p = 0.05) extending up to 3 h after the seizure (p = 0.03) with a short decrease just before seizure occurrence.

Conclusions:

Our results suggest that SR increases with medication withdrawal and particularly before and after seizures. There is a complex pattern of increase and decrease around seizure onset which explains divergent results in previous studies.

Significance:

Precise spike counting at similar circadian periods for a patient could help to determine the risk of seizure occurrence in a personalized fashion.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Neurophysiol Pract Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Neurophysiol Pract Year: 2022 Document type: Article Affiliation country:
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