Literature DB >> 21515079

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

Young-Jin Jung1, Hoon-Chul Kang, Keom-Ok Choi, Joon Soo Lee, Dong-Seok Kim, Jae-Hyun Cho, Shin-Hye Kim, Chang-Hwan Im, Heung Dong Kim.   

Abstract

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.
Copyright © 2011 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21515079     DOI: 10.1016/j.seizure.2011.02.004

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  9 in total

1.  The seizure onset zone drives state-dependent epileptiform activity in susceptible brain regions.

Authors:  Joshua M Diamond; Julio I Chapeton; William H Theodore; Sara K Inati; Kareem A Zaghloul
Journal:  Clin Neurophysiol       Date:  2019-07-02       Impact factor: 3.708

2.  Connectomics and epilepsy.

Authors:  Jerome Engel; Paul M Thompson; John M Stern; Richard J Staba; Anatol Bragin; Istvan Mody
Journal:  Curr Opin Neurol       Date:  2013-04       Impact factor: 5.710

3.  Ictal propagation of high frequency activity is recapitulated in interictal recordings: effective connectivity of epileptogenic networks recorded with intracranial EEG.

Authors:  A Korzeniewska; M C Cervenka; C C Jouny; J R Perilla; J Harezlak; G K Bergey; P J Franaszczuk; N E Crone
Journal:  Neuroimage       Date:  2014-07-06       Impact factor: 6.556

4.  Resected Brain Tissue, Seizure Onset Zone and Quantitative EEG Measures: Towards Prediction of Post-Surgical Seizure Control.

Authors:  Christian Rummel; Eugenio Abela; Ralph G Andrzejak; Martinus Hauf; Claudio Pollo; Markus Müller; Christian Weisstanner; Roland Wiest; Kaspar Schindler
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

5.  Improved Localization of Seizure Onset Zones Using Spatiotemporal Constraints and Time-Varying Source Connectivity.

Authors:  Juan D Martinez-Vargas; Gregor Strobbe; Kristl Vonck; Pieter van Mierlo; German Castellanos-Dominguez
Journal:  Front Neurosci       Date:  2017-04-06       Impact factor: 4.677

6.  Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG.

Authors:  Pieter van Mierlo; Octavian Lie; Willeke Staljanssens; Ana Coito; Serge Vulliémoz
Journal:  Brain Topogr       Date:  2018-04-26       Impact factor: 3.020

7.  Effects of disparity on visual discomfort caused by short-term stereoscopic viewing based on electroencephalograph analysis.

Authors:  Xiao Wang; Liuye Yao; Yuemei Zhao; Lidong Xing; Zhiyu Qian; Weitao Li; Yamin Yang
Journal:  Biomed Eng Online       Date:  2018-11-03       Impact factor: 2.819

8.  Evaluating resective surgery targets in epilepsy patients: A comparison of quantitative EEG methods.

Authors:  Michael Müller; Kaspar Schindler; Marc Goodfellow; Claudio Pollo; Christian Rummel; Andreas Steimer
Journal:  J Neurosci Methods       Date:  2018-05-18       Impact factor: 2.390

9.  Linear and nonlinear interrelations show fundamentally distinct network structure in preictal intracranial EEG of epilepsy patients.

Authors:  Michael Müller; Matteo Caporro; Heidemarie Gast; Claudio Pollo; Roland Wiest; Kaspar Schindler; Christian Rummel
Journal:  Hum Brain Mapp       Date:  2019-10-18       Impact factor: 5.038

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.