[Localization of epileptogenic zone based on reconstruction of dynamical epileptic network and virtual resection].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
; 39(6): 1165-1172, 2022 Dec 25.
Article
em Zh
| MEDLINE
| ID: mdl-36575086
ABSTRACT
Drug-refractory epilepsy (DRE) may be treated by surgical intervention. Intracranial EEG has been widely used to localize the epileptogenic zone (EZ). Most studies of epileptic network focus on the features of EZ nodes, such as centrality and degrees. It is difficult to apply those features to the treatment of individual patients. In this study, we proposed a spatial neighbor expansion approach for EZ localization based on a neural computational model and epileptic network reconstruction. The virtual resection method was also used to validate the effectiveness of our approach. The electrocorticography (ECoG) data from 11 patients with DRE were analyzed in this study. Both interictal data and surgical resection regions were used. The results showed that the rate of consistency between the localized regions and the surgical resections in patients with good outcomes was higher than that in patients with poor outcomes. The average deviation distance of the localized region for patients with good outcomes and poor outcomes were 15 mm and 36 mm, respectively. Outcome prediction showed that the patients with poor outcomes could be improved when the brain regions localized by the proposed approach were treated. This study provides a quantitative analysis tool for patient-specific measures for potential surgical treatment of epilepsy.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Epilepsia
/
Epilepsia Resistente a Medicamentos
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
Zh
Revista:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Assunto da revista:
ENGENHARIA BIOMEDICA
Ano de publicação:
2022
Tipo de documento:
Article