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Cited 10 time in webofscience Cited 8 time in scopus
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Localization of epileptogenic zones in Lennox-Gastaut syndrome (LGS) using graph theoretical analysis of ictal intracranial EEG: A preliminary investigation

Authors
Kim, Jeong-YounKang, Hoon-ChulKim, KiwoongKim, Heung DongIm, Chang-Hwan
Issue Date
Jan-2015
Publisher
Elsevier BV
Keywords
Epileptogenic zone; Intracranial electroencephalography (iEEG); Lennox-Gastaut syndrome (LGS); Secondary generalized epilepsy; Phase locking value (PLV); Graph theory; Betweenness centrality
Citation
Brain and Development, v.37, no.1, pp 29 - 36
Pages
8
Indexed
SCI
SCIE
SCOPUS
Journal Title
Brain and Development
Volume
37
Number
1
Start Page
29
End Page
36
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/25676
DOI
10.1016/j.braindev.2014.02.006
ISSN
0387-7604
1872-7131
Abstract
Introduction: Precise localization of epileptogenic zones is essential for the successful surgical treatment of refractory epilepsy including Lennox-Gastaut syndrome (LGS). The surgical resection areas are generally determined by epileptologists based on diverse neuroimaging modalities; however, exact epileptogenic zones cannot be accurately localized in many patients with LGS using the conventional methods. Therefore, new reliable algorithms are still required for enhancing the success rate of the resective epilepsy surgery. In the present study, we introduce an approach to localize epileptogenic zones in LGS based on the graph theoretical analysis of ical intracranial EEG (iEEG). Methods: Four patients with LGS who became seizure-free after the resective epilepsy surgery were selected. Before the surgery, their epileptogenic zones were delineated using EEG, iEEG, and several conventional imaging modalities. Phase locking value (PLV) analysis was applied to construct functional connectivity networks during ictal events, and then several graph theoretical indices including betweenness centrality (BC) were evaluated for each iEEG sensor to find the primary hubs of the ictal epileptic network. The graph theoretical index values were then overlaid on 3D individual cortical surface. Results: The iEEG channels with high BC values coincided well with the surgical resection areas. Among various graph theoretical measures such as local efficiency, participation coefficient, and eigenvector centrality, only BC showed fair correspondence with the surgical resection areas. Conclusions: The primary hubs in the ictal epileptic networks coincided well with areas of surgical resection in LGS patients with successful surgical outcomes. This observation warrants further studies to determine if the graph theoretical network analysis of ictal iEEG recordings can serve as a new auxiliary tool to localize epileptogenic zones in LGS. (C) 2014 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.
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