Spatio-temporal patterns in the depth EEG during the epileptic seizure

Jung Ae Kim; Sunyoung Cho; Sang Kun Lee; Hyunwoo Nam; Seung Kee Han

doi:10.1007/11428831_117

Spatio-temporal patterns in the depth EEG during the epileptic seizure

Jung Ae Kim, Sunyoung Cho, Sang Kun Lee, Hyunwoo Nam, Seung Kee Han

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We analyzed the spatio-temporal patterns of the depth EEG recorded from a patient with lateral temporal-lobe epilepsy. Statistical analysis based on the Jensen-Shannon entropy (JS-E) as well as linear power spectral analyses were performed. The spatio-temporal patterns from JS-E and β rhythm successfully detected the onset timing of the seizure and revealed the temporal topology of the epileptic focus. The robustness of these patterns was proved by inter-trial consistency. As the patterns are well matched with the clinical diagnosis, it could be used for the identification of onset time and focus region of epileptic seizure.

Original language	English
Pages (from-to)	941-947
Number of pages	7
Journal	Lecture Notes in Computer Science
Volume	3514
Issue number	I
DOIs	https://doi.org/10.1007/11428831_117
State	Published - 2005
Event	5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States Duration: 22 May 2005 → 25 May 2005

Bibliographical note

Funding Information:
* This work was supported by Korean Research Foundation, KRF 2002-075-H0007 to S.Y. Cho, and a grant (M103KV010011-03K2201-01130) from Brain Research Center of the 21st Century Frontier Research Program funded by the Ministry of Science and Technology of Republic of Korea to S.K. Han.

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title = "Spatio-temporal patterns in the depth EEG during the epileptic seizure",

abstract = "We analyzed the spatio-temporal patterns of the depth EEG recorded from a patient with lateral temporal-lobe epilepsy. Statistical analysis based on the Jensen-Shannon entropy (JS-E) as well as linear power spectral analyses were performed. The spatio-temporal patterns from JS-E and β rhythm successfully detected the onset timing of the seizure and revealed the temporal topology of the epileptic focus. The robustness of these patterns was proved by inter-trial consistency. As the patterns are well matched with the clinical diagnosis, it could be used for the identification of onset time and focus region of epileptic seizure.",

author = "Kim, {Jung Ae} and Sunyoung Cho and Lee, {Sang Kun} and Hyunwoo Nam and Han, {Seung Kee}",

note = "Funding Information: * This work was supported by Korean Research Foundation, KRF 2002-075-H0007 to S.Y. Cho, and a grant (M103KV010011-03K2201-01130) from Brain Research Center of the 21st Century Frontier Research Program funded by the Ministry of Science and Technology of Republic of Korea to S.K. Han.; 5th International Conference on Computational Science - ICCS 2005 ; Conference date: 22-05-2005 Through 25-05-2005",

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doi = "10.1007/11428831_117",

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T1 - Spatio-temporal patterns in the depth EEG during the epileptic seizure

AU - Kim, Jung Ae

AU - Cho, Sunyoung

AU - Lee, Sang Kun

AU - Nam, Hyunwoo

AU - Han, Seung Kee

N1 - Funding Information: * This work was supported by Korean Research Foundation, KRF 2002-075-H0007 to S.Y. Cho, and a grant (M103KV010011-03K2201-01130) from Brain Research Center of the 21st Century Frontier Research Program funded by the Ministry of Science and Technology of Republic of Korea to S.K. Han.

PY - 2005

Y1 - 2005

N2 - We analyzed the spatio-temporal patterns of the depth EEG recorded from a patient with lateral temporal-lobe epilepsy. Statistical analysis based on the Jensen-Shannon entropy (JS-E) as well as linear power spectral analyses were performed. The spatio-temporal patterns from JS-E and β rhythm successfully detected the onset timing of the seizure and revealed the temporal topology of the epileptic focus. The robustness of these patterns was proved by inter-trial consistency. As the patterns are well matched with the clinical diagnosis, it could be used for the identification of onset time and focus region of epileptic seizure.

AB - We analyzed the spatio-temporal patterns of the depth EEG recorded from a patient with lateral temporal-lobe epilepsy. Statistical analysis based on the Jensen-Shannon entropy (JS-E) as well as linear power spectral analyses were performed. The spatio-temporal patterns from JS-E and β rhythm successfully detected the onset timing of the seizure and revealed the temporal topology of the epileptic focus. The robustness of these patterns was proved by inter-trial consistency. As the patterns are well matched with the clinical diagnosis, it could be used for the identification of onset time and focus region of epileptic seizure.

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U2 - 10.1007/11428831_117

DO - 10.1007/11428831_117

M3 - Conference article

AN - SCOPUS:25144515424

SN - 0302-9743

VL - 3514

SP - 941

EP - 947

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - I

T2 - 5th International Conference on Computational Science - ICCS 2005

Y2 - 22 May 2005 through 25 May 2005

ER -

Spatio-temporal patterns in the depth EEG during the epileptic seizure

Abstract

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