Localization of ictal onset zones in Lennox-Gastaut syndrome (LGS) based on information theoretical time delay analysis of intracranial electroencephalography (iEEG)

Jae Hyun Cho, Hoon Chul Kang, Young Jin Jung, Yong Ho Lee, Ki Young Jung, Heung Dong Kim, Chang Hwan Im

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Precise localization of ictal onset zones is of great clinical importance for successful surgery in patients with intractable drug-resistant epilepsy. Time delay analysis has been one of the most reliable and most widely used computational electroencephalogram (EEG) analysis methods for localizing ictal onset zones. However, the majority of previous studies have only been applied to the localization of ictal onset zones in focal epilepsy. In the present study, we analyzed intracranial EEG (iEEG) recordings acquired from patients with Lennox-Gaustaut syndrome (LGS), which is a type of intractable, pediatric, secondary generalized epilepsies with bilaterally synchronous ictal epileptiform discharges. To estimate the ictal onset zones from ictal iEEG recordings, we estimated time delays among iEEG signals based on the information theoretical approach. The results of the time delay analysis applied to the iEEG data of four successfully treated LGS patients corresponded well with the surgical resection areas identified by experienced epileptologists and multiple neuroimaging modalities, suggesting that the time delay analysis may provide useful information on the precise locations of ictal onset zones prior to epilepsy surgery in LGS patients.

Original languageEnglish
Pages (from-to)78-86
Number of pages9
JournalEpilepsy Research
Volume99
Issue number1-2
DOIs
Publication statusPublished - 2012 Mar

Bibliographical note

Funding Information:
This work was supported in part by the KRISS-WCL project (Development of Measurement Technology for Cognitive Process) and in part by the research fund of Hanyang University (HY-2011-N).

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology

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