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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
 Jeong-Youn Kim  ;  Hoon-Chul Kang  ;  Kiwoong Kim  ;  Heung Dong Kim  ;  Chang-Hwan Im 
Citation
 BRAIN & DEVELOPMENT, Vol.37(1) : 29-36, 2015 
Journal Title
BRAIN & DEVELOPMENT
ISSN
 0387-7604 
Issue Date
2015
MeSH
Adolescent ; Algorithms* ; Child, Preschool ; Electroencephalography/methods* ; Humans ; Lennox Gastaut Syndrome/diagnosis* ; Male ; Signal Processing, Computer-Assisted*
Keywords
Betweenness centrality ; Epileptogenic zone ; Graph theory ; Intracranial electroencephalography (iEEG) ; Lennox–Gastaut syndrome (LGS) ; Phase locking value (PLV) ; Secondary generalized epilepsy
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.
Full Text
http://www.sciencedirect.com/science/article/pii/S0387760414000448
DOI
10.1016/j.braindev.2014.02.006
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Hoon Chul(강훈철) ORCID logo https://orcid.org/0000-0002-3659-8847
Kim, Heung Dong(김흥동) ORCID logo https://orcid.org/0000-0002-8031-7336
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/139179
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