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  Combined use of multiple computational intracranial EEG analysis techniques for the localization of epileptogenic zones in Lennox–Gastaut syndrome

Kim, J.-Y., Kang, H.-C., Cho, J.-H., Lee, J. H., Kim, H. D., & Im, C.-H. (2014). Combined use of multiple computational intracranial EEG analysis techniques for the localization of epileptogenic zones in Lennox–Gastaut syndrome. Clinical EEG and Neuroscience, 45(3), 169-178. doi:10.1177/1550059413495393.

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 Creators:
Kim, Jeong-Youn1, Author
Kang, Hoon-Chul2, Author
Cho, Jae-Hyun1, Author              
Lee, Ji Hyun2, Author
Kim, Heung Dong2, Author
Im, Chang-Hwan1, Author
Affiliations:
1Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea, ou_persistent22              
2Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea, ou_persistent22              

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Free keywords: Epileptogenic zone; Intracranial electroencephalography (iEEG); Lennox–Gastaut syndrome (LGS); Secondary generalized epilepsy; Directed transfer function (DTF); Time delay estimation
 Abstract: Traditionally, identification of epileptogenic zones primarily relied on visual inspection of intracranial electroencephalography (iEEG) recordings by experienced epileptologists; however, removal of epileptogenic zones identified by iEEG does not always guarantee favorable surgical outcomes. To confirm visual inspection results, and assist in making decisions about surgical resection areas, computational iEEG analysis methods have recently been used for the localization of epileptogenic zones. In this study, we have proposed a new approach for the localization of epileptogenic zones in Lennox–Gastaut syndrome (LGS), and have investigated whether the proposed approach could confirm surgical resection areas and predict seizure outcome before surgery. The proposed approach simultaneously used results of 2 iEEG analysis methods, directed transfer function (DTF) and time delay estimation, to enhance localization accuracy. This new combined method was applied to patients who became seizure-free after resective epilepsy surgery, as well as those who had unsuccessful surgery. A quantitative metric was also introduced that can measure how well the localized epileptogenic zones coincided with the surgical resection areas, with the aim of verifying whether the approach could confirm surgical resection areas determined by epileptologists. The estimated epileptogenic zones more strongly coincided with surgical resection areas in patients with successful, compared to those with unsuccessful surgical outcomes. Both qualitative and quantitative analyses showed that the combined use of 2 iEEG analyses resulted in a more accurate estimate of epileptogenic zones in LGS than the use of a single method. A combination of multiple iEEG analyses could not only enhance overall accuracy of localizing epileptogenic zones in LGS, but also has the potential to predict outcomes before resective surgery.

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Language(s): eng - English
 Dates: 2014-02-182014-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1177/1550059413495393
PMID: 24553310
 Degree: -

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Title: Clinical EEG and Neuroscience
Source Genre: Journal
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Publ. Info: London, United Kingdom : Sage
Pages: - Volume / Issue: 45 (3) Sequence Number: - Start / End Page: 169 - 178 Identifier: Other: 0009-9155
CoNE: https://pure.mpg.de/cone/journals/resource/0009-9155