Predictive role of brain connectivity for resective surgery in Lennox–Gastaut syndrome

Yun Jung Hur, Heung Dong Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objective Callosotomy can reveal hidden primary epileptogenic areas in Lennox–Gastaut syndrome (LGS). We studied the significance of causal connectivity for identifying hidden epileptogenic areas in preoperative electroencephalography (EEG) and for making a decision regarding resective surgery. Methods We enrolled 18 LGS patients who underwent corpus callosotomy. Eight patients with unilateral epileptogenicity on post-callosotomy EEG underwent resective surgery (group A). Ten patients with independent bilateral epileptogenicity did not undergo resective surgery (group B). We analyzed generalized epileptiform discharges on pre-callosotomy EEG via direct directed transfer function (dDTF) and partial directed coherence (PDC). Results All regions exhibiting unilaterality in group A and bilaterality identified by dDTF or PDC in group B were concordant with the lateralization of the irritative zone on post-callosotomy EEG and with the localization of the resective areas, except for one patient in group A. The regions identified by dDTF exhibited high concordance rates with the resective areas in patients with good outcomes. Conclusions Causal connectivity methods showed good concordance with hidden epileptogenic areas, and its concordance was associated with the prognosis of surgical outcome. Significance This study provides evidence that causal connectivity methods can be helpful in deciding which type of surgery will be suitable for an LGS patient.

Original languageEnglish
Pages (from-to)2862-2868
Number of pages7
JournalClinical Neurophysiology
Volume127
Issue number8
DOIs
Publication statusPublished - 2016 Aug 1

All Science Journal Classification (ASJC) codes

  • Sensory Systems
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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