Cited 3 times in
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
DC Field | Value | Language |
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dc.contributor.author | 왕질급 | - |
dc.contributor.author | 김흥동 | - |
dc.contributor.author | 양동화 | - |
dc.date.accessioned | 2023-03-21T07:31:54Z | - |
dc.date.available | 2023-03-21T07:31:54Z | - |
dc.date.issued | 2022-08 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/193425 | - |
dc.description.abstract | Objective: For patients with drug-resistant focal epilepsy, intracranial monitoring remains the gold standard for surgical intervention. Focal cortical dysplasia (FCD) is the most common cause of pharmacoresistant focal epilepsy in pediatric patients who usually develop seizures in early childhood. Timely removal of the epileptogenic zone (EZ) is necessary to achieve lasting seizure freedom and favorable developmental and cognitive outcomes to improve the quality of life. We applied brain network analysis to investigate potential biomarkers for the diagnosis of EZ that will aid in the resection for pediatric focal epilepsy patients with FCD type II. Methods: Ten pediatric patients with focal epilepsy diagnosed as FCD type II and that had a follow-up after resection surgery (Engel class I [n = 9] and Engel class II [n = 1]) were retrospectively included. Time-frequency analysis of phase transfer entropy, graph theory analysis, and power spectrum compensation were combined to calculate brain network parameters based on interictal epileptiform discharges from ECoG. Results: Clustering coefficient, local efficiency, node out-degree, and node out-strength with higher values are the most reliable biomarkers for the delineation of EZ, and the differences between EZ and margin zone (MZ), and EZ and normal zone (NZ) were significant (p < 0.05; Mann-Whitney U-test, two-tailed). In particular, the difference between MZ and NZ was significant for patients with frontal FCD (MZ > NZ; p < 0.05) but was not significant for patients with extra-frontal FCD. Conclusions: Brain network analysis, based on the combination of time-frequency analysis of phase transfer entropy, graph theory analysis, and power spectrum compensation, can aid in the diagnosis of EZ for pediatric focal epilepsy patients with FCD type II. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Frontiers Research Foundation | - |
dc.relation.isPartOf | FRONTIERS IN NEUROLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | 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 | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pediatrics (소아과학교실) | - |
dc.contributor.googleauthor | Zhi Ji Wang | - |
dc.contributor.googleauthor | Byoung Ho Noh | - |
dc.contributor.googleauthor | Eun Seong Kim | - |
dc.contributor.googleauthor | Donghwa Yang | - |
dc.contributor.googleauthor | Shan Yang | - |
dc.contributor.googleauthor | Nam Young Kim | - |
dc.contributor.googleauthor | Yun Jung Hur | - |
dc.contributor.googleauthor | Heung Dong Kim | - |
dc.identifier.doi | 10.3389/fneur.2022.901633 | - |
dc.contributor.localId | A06387 | - |
dc.contributor.localId | A01208 | - |
dc.contributor.localId | A05866 | - |
dc.relation.journalcode | J02996 | - |
dc.identifier.eissn | 1664-2295 | - |
dc.identifier.pmid | 35989902 | - |
dc.subject.keyword | graph theory analysis | - |
dc.subject.keyword | identification of epileptogenic zone | - |
dc.subject.keyword | phase transfer entropy | - |
dc.subject.keyword | power spectrum compensation | - |
dc.subject.keyword | time-frequency analysis | - |
dc.contributor.alternativeName | Wang, Zhi Ji | - |
dc.contributor.affiliatedAuthor | 왕질급 | - |
dc.contributor.affiliatedAuthor | 김흥동 | - |
dc.contributor.affiliatedAuthor | 양동화 | - |
dc.citation.volume | 13 | - |
dc.citation.startPage | 901633 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN NEUROLOGY, Vol.13 : 901633, 2022-08 | - |
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