English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Evaluation of algorithms for intracranial EEG (iEEG) source imaging of extended sources: Feasibility of using iEEG source imaging for localizing epileptogenic zones in secondary generalized epilepsy

Cho, J.-H., Hong, S. B., Jung, Y.-J., Kang, H.-C., Kim, H. D., Suh, M., et al. (2011). Evaluation of algorithms for intracranial EEG (iEEG) source imaging of extended sources: Feasibility of using iEEG source imaging for localizing epileptogenic zones in secondary generalized epilepsy. Brain Topography, 24(2), 91-104. doi:10.1007/s10548-011-0173-2.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Cho, Jae-Hyun1, Author              
Hong, Seung Bong2, Author
Jung, Young-Jin1, Author
Kang, Hoon-Chul3, Author
Kim, Heung Dong3, Author
Suh, Minah4, Author
Jung, Ki-Young5, Author
Im, Chang-Hwan6, Author
Affiliations:
1Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea, ou_persistent22              
2Department of Neurology, Samsung Medical Center, Sungkyunkwan University, Seoul, Republic of Korea, ou_persistent22              
3Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea, ou_persistent22              
4Department of Biological Science, Sungkyunkwan University, Seoul, Republic of Korea, ou_persistent22              
5Department of Neurology, Korea University College of Medicine, Seoul, Republic of Korea, ou_persistent22              
6Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea, ou_persistent22              

Content

show
hide
Free keywords: Cortical source imaging; Localization of epileptogenic zone; Lennox-Gastaut syndrome; Intracranial electroencephalography; Ictal epileptiform activity; Inverse problem
 Abstract: Precise identification of epileptogenic zones in patients with intractable drug-resistant epilepsy is critical for successful epilepsy surgery. Numerous source-imaging algorithms for localizing epileptogenic zones based on scalp electroencephalography (EEG) and magnetoencephalography (MEG) have been developed and validated in simulation and experimental studies. Recently, intracranial EEG (iEEG)-based imaging of epileptogenic sources has attracted interest as a promising tool for presurgical evaluation of epilepsy; however, most iEEG studies have focused on localization of epileptogenic zones in focal epilepsy. In the present study, we investigated whether iEEG source imaging is a useful supplementary tool for identifying extended epileptogenic sources in secondary generalized epilepsy such as Lennox-Gastaut syndrome (LGS). To this end, we applied four different cortical source imaging algorithms, namely minimum norm estimation (MNE), low-resolution electromagnetic tomography (LORETA), standardized LORETA (sLORETA), and L p -norm estimation (p = 1.5, referred to as Lp1.5), to artificial iEEG datasets generated assuming various source sizes and locations. We also applied these four algorithms to clinical ictal iEEG recordings acquired from a pediatric patient with LGS. Interestingly, the traditional MNE algorithm outperformed the other imaging algorithms in most of our experiments, particularly in cases when larger-sized sources were activated. Although sLORETA outperformed both LORETA and Lp1.5, its performance was not as good as that of MNE. Compared to the other algorithms, the performance of Lp1.5 decayed most rapidly as the source size increased. Our findings suggest that iEEG source imaging using MNE is a promising auxiliary tool for the identification of epileptogenic zones in secondary generalized epilepsy. We anticipate that our results will provide useful guidelines for selection of an appropriate imaging algorithm for iEEG source imaging studies.

Details

show
hide
Language(s): eng - English
 Dates: 2011-03-032011-06-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s10548-011-0173-2
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Brain Topography
  Other : Brain Topogr.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Human Sciences Press
Pages: - Volume / Issue: 24 (2) Sequence Number: - Start / End Page: 91 - 104 Identifier: ISSN: 0896-0267
CoNE: https://pure.mpg.de/cone/journals/resource/954925560559