Brain network analysis of interictal epileptiform discharges from ECoG to identify epileptogenic zone in pediatric patients with epilepsy and focal cortical dysplasia type II: A retrospective study.

Wang, Zhi Ji; Noh, Byoung Ho; Kim, Eun Seong; Yang, Donghwa; Yang, Shan; Kim, Nam Young; Hur, Yun Jung; Kim, Heung Dong

Wang, Zhi Ji; Noh, Byoung Ho; Kim, Eun Seong; Yang, Donghwa; Yang, Shan; Kim, Nam Young; Hur, Yun Jung; Kim, Heung Dong.

Afiliação

Wang ZJ; Division of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Noh BH; Radio Frequency Integrated Circuit (RFIC), Kwangwoon University, Seoul, South Korea.
Kim ES; Department of Pediatrics, Kangwon National University Hospital, Chuncheon-si, South Korea.
Yang D; Radio Frequency Integrated Circuit (RFIC), Kwangwoon University, Seoul, South Korea.
Yang S; Division of Pediatric Neurology, Department of Pediatrics, Severance Children's Hospital, Epilepsy Research Institute, Yonsei University College of Medicine, Seoul, South Korea.
Kim NY; Division of Pediatric Neurology, Department of Pediatrics, National Health Insurance Service Ilsan Hospital, Goyang-si, South Korea.
Hur YJ; Radio Frequency Integrated Circuit (RFIC), Kwangwoon University, Seoul, South Korea.
Kim HD; Radio Frequency Integrated Circuit (RFIC), Kwangwoon University, Seoul, South Korea.

Front Neurol ; 13: 901633, 2022.

Article em En | MEDLINE | ID: mdl-35989902

Palavras-chave

graph theory analysis; identification of epileptogenic zone; phase transfer entropy; power spectrum compensation; time-frequency analysis

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Front Neurol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul

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