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Functional Segregation of Epileptogenicity within the Human Amygdala
Annals of Neurology · 2026
Auteurs
Feys O, Makhalova J, Medina Villalon S, Fratello M, Dary H, Lagarde S, Pizzo F, Trébuchon A, Guye M, Ranjeva JP, Carron R, Scavarda D, Bénar CG, Giusiano B, Bartolomei F
Les auteurs en lien sont membres de l'INS.
Équipes
Résumé
Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of temporal lobe seizures. Methods We retrospectively included 51 patients suffering from TLE who underwent SEEG over the past 5 years. The Virtual Epileptic Patient atlas with an integrated amygdala atlas was used to automatically localize SEEG contacts within the brain regions, including 9 amygdala nuclei. The Epileptogenicity Index (EI) and Connectivity Epileptogenicity Index (cEI) were computed on ictal SEEG recordings. We used a beta mixed model to evaluate the relative effects of amygdala nuclei, TLE subtypes, and lateralization of the epileptogenic zone on the epileptogenicity. We used the Wilcoxon rank sum test to study the associations between epileptogenicity level of distinct amygdala nuclei and ictal semiology (sensory, affective, cognitive, motor, and autonomic). Results We observed higher epileptogenicity within the basolateral
Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of temporal lobe seizures. Methods We retrospectively included 51 patients suffering from TLE who underwent SEEG over the past 5 years. The Virtual Epileptic Patient atlas with an integrated amygdala atlas was used to automatically localize SEEG contacts within the brain regions, including 9 amygdala nuclei. The Epileptogenicity Index (EI) and Connectivity Epileptogenicity Index (cEI) were computed on ictal SEEG recordings. We used a beta mixed model to evaluate the relative effects of amygdala nuclei, TLE subtypes, and lateralization of the epileptogenic zone on the epileptogenicity. We used the Wilcoxon rank sum test to study the associations between epileptogenicity level of distinct amygdala nuclei and ictal semiology (sensory, affective, cognitive, motor, and autonomic). Results We observed higher epileptogenicity within the basolateral