Detection of recurrent activation patterns across focal seizures: Application to seizure onset zone identification

Manel Vila-Vidal, Alessandro Principe, Miguel Ley, Gustavo Deco, Adrià Tauste Campo, Rodrigo Rocamora

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Abstract

Objective We introduce a method that quantifies the consistent involvement of intracranially monitored regions in recurrent focal seizures. Methods We evaluated the consistency of two ictal spectral activation patterns (mean power change and power change onset time) in intracranial recordings across focal seizures from seven patients with clinically marked seizure onset zone (SOZ). We examined SOZ discrimination using both patterns in different frequency bands and periods of interest. Results Activation patterns were proved to be consistent across more than 80% of recurrent ictal epochs. In all patients, whole-seizure mean activations were significantly higher for SOZ than non-SOZ regions (P<0.05) while activation onset times were significantly lower for SOZ than for non-SOZ regions (P<0.001) in six patients. Alpha-beta bands (8–20 Hz) achieved the highest patient-average effect size on the whole-seizure period while gamma band (20–70 Hz) achieved the highest discrimination values between SOZ and non-SOZ sites near seizure onset (0–5 s). Conclusions Consistent spectral activation patterns in focal epilepsies discriminate the SOZ with high effect sizes upon appropriate selection of frequency bands and activation periods. Significance The present method may be used to improve epileptogenic identification as well as pinpoint additional regions that are functionally altered during ictal events.

Original languageEnglish
Pages (from-to)977-985
Number of pages9
JournalClinical Neurophysiology
Volume128
Issue number6
DOIs
Publication statusPublished - 1 Jun 2017
Externally publishedYes

Keywords

  • Quantitative EEG analysis
  • Stereo-EEG
  • Temporal lobe epilepsy

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