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Metabolism and Intracranial Epileptogenicity in Temporal Lobe Long-Term Epilepsy-Associated Tumor.
Mo, Jiajie; Zhang, Jianguo; Hu, Wenhan; Sang, Lin; Shao, Xiaoqiu; Zhang, Chao; Zhang, Kai.
Afiliação
  • Mo J; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Zhang J; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Hu W; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Sang L; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Shao X; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Zhang C; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
  • Zhang K; Department of Neurosurgery, Beijing Fengtai Hospital, Beijing 100070, China.
J Clin Med ; 11(18)2022 Sep 09.
Article em En | MEDLINE | ID: mdl-36142957
ABSTRACT
Brain tumors are common in epilepsy surgery and frequently occur in the temporal lobe, but the optimal surgical strategies to remove the tumor and epileptogenic zone remain controversial. We aim at illustrating the positron emission tomography (PET) metabolism and the stereoelectroencephalography (SEEG) epileptogenicity of temporal lobe long-term epilepsy-associated tumors (LEAT). In this study, 70 patients and 25 healthy controls were included. Our analysis leveraged group-level analysis to reveal the whole-brain metabolic pattern of temporal lobe LEATs. The SEEG-based epileptogenicity mapping was performed to verify the PET findings in the epileptic network. Compared to controls, patients with a temporal lobe LEAT showed a more widespread epileptic network based on 18FDG-PET in patients with a mesial temporal lobe LEAT than in those with a lateral temporal lobe LEAT. The significant brain clusters mainly involved the paracentral lobule (ANOVA F = 9.731, p < 0.001), caudate nucleus (ANOVA F = 20.749, p < 0.001), putamen (Kruskal−Wallis H = 19.258, p < 0.001), and thalamus (ANOVA F = 4.754, p = 0.011). Subgroup analysis and SEEG-based epileptogenicity mapping are similar to the metabolic pattern. Our findings demonstrate the metabolic and electrophysiological organization of the temporal lobe LEAT epileptic network, which may assist in a patient-specific surgical strategy.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article