Automatic ictal onset source localization in presurgical epilepsy evaluation

Johannes Koren, Gerhard Gritsch, Susanne Pirker, Johannes Herta, Hannes Perko, Tilmann Kluge, Christoph Baumgartner

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung


Objective: To test the diagnostic accuracy of a new automatic algorithm for ictal onset source localization (IOSL) during routine presurgical epilepsy evaluation following STARD (Standards for Reporting of Diagnostic Accuracy) criteria. Methods: We included 28 consecutive patients with refractory focal epilepsy (25 patients with temporal lobe epilepsy (TLE) and 3 with extratemporal epilepsy) who underwent resective epilepsy surgery. Ictal EEG patterns were analyzed with a novel automatic IOSL algorithm. IOSL source localizations on a sublobar level were validated by comparison with actual resection sites and seizure free outcome 2 years after surgery. Results: Sensitivity of IOSL was 92.3% (TLE: 92.3%); specificity 60% (TLE: 50%); positive predictive value 66.7% (TLE: 66.7%); and negative predictive value 90% (TLE: 85.7%). The likelihood ratio was more than ten times higher for concordant IOSL results as compared to discordant results (p = 0.013). Conclusions: We demonstrated the clinical feasibility of our IOSL approach yielding reasonable high performance measures on a sublobar level. Significance: Our IOSL method may contribute to a correct localization of the seizure onset zone in temporal lobe epilepsy and can readily be used in standard epilepsy monitoring settings. Further studies are needed for validation in extratemporal epilepsy.
Seiten (von - bis)1291-1299
FachzeitschriftClinical Neurophysiology
PublikationsstatusVeröffentlicht - 2018

Research Field

  • Exploration of Digital Health


  • new automatic algorithm
  • for
  • ictal
  • onset source localization
  • during
  • routin
  • presurgical
  • epilepsy
  • evaluation
  • IOSL
  • extratemporal
  • feasibility
  • likelihood


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