4.7 Article

Metabolism and Intracranial Epileptogenicity in Temporal Lobe Long-Term Epilepsy-Associated Tumor

Journal

JOURNAL OF CLINICAL MEDICINE
Volume 11, Issue 18, Pages -

Publisher

MDPI
DOI: 10.3390/jcm11185309

Keywords

LEAT; temporal lobe epilepsy; metabolism; epileptogenicity

Funding

  1. National Key R&D Program of China [2021YFC2401201]
  2. National Natural Science Foundation of China [82071457]
  3. Capital's Funds for Health Improvement and Research [2022-1-1071, 2020-2-1076]

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This study investigated the metabolic and electrophysiological characteristics of temporal lobe LEAT epileptic network using PET and SEEG techniques. Patients with temporal lobe LEAT showed a more widespread epileptic network compared to controls, with significant differences in metabolic patterns.
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 (18)FDG-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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