Localization of ictal onset zones in Lennox-Gastaut syndrome using directional connectivity analysis of intracranial electroencephalography

Young Jin Jung, Hoon Chul Kang, Keom Ok Choi, Joon Soo Lee, Dong Seok Kim, Jae Hyun Cho, Shin Hye Kim, Chang Hwan Im, Heung Dong Kim

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


Introduction: Neuroscientists are becoming interested in the application of computational EEG analysis to the identification of ictal onset zones; however, most studies have focused on the localization of ictal onset zones in focal epilepsy. The present study aimed to estimate the ictal onset zone of Lennox-Gastaut syndrome (LGS) with bilaterally synchronous epileptiform discharges from intracranial electroencephalography (iEEG) recordings using directional connectivity analysis. Methods: We analyzed ictal iEEG data acquired from three LGS patients who underwent epileptic surgery with favorable surgical outcomes. To identify the ictal onset zones, we estimated the functional directional connectivity network among the intracerebral electrodes using the directed transfer function (DTF) method. Results: The analysis results demonstrated that areas with high average outflow values corresponded well with the surgical resection areas identified using electrophysiologic data and conventional neuroimaging modalities. Discussions: Our results suggest that the DTF analysis can be a useful auxiliary tool for determining surgical resection areas prior to epilepsy surgery in LGS patients. This is the first research article demonstrating that directional connectivity analysis of iEEG recording data can be used for delineating surgical resection areas in generalized epilepsy patients who need surgical treatment.

Original languageEnglish
Pages (from-to)449-457
Number of pages9
Issue number6
Publication statusPublished - 2011 Jul

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0015604 ) and in part by the Korea Research Foundation grant funded by the Korea Government (MEST, Basic Research Promotion Fund) (No. 2009-1345106765 ).

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology


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