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Related Experiment Video

Updated: Aug 10, 2025

$Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note$

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

Published on: June 13, 2016

Recent advances in epilepsy surgery.

Mauricio Medina-Pizarro¹, Dennis D Spencer, Eyiyemisi C Damisah

¹Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.

Current Opinion in Neurology

|February 10, 2023

Summary

Technological advancements are improving epilepsy surgery with better imaging, AI-driven predictions, and minimally invasive techniques. Early surgical evaluation is crucial for patients with ongoing seizures to optimize treatment outcomes.

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Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE

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Last Updated: Aug 10, 2025

$Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note$

Stereo-Electro-Encephalo-Graphy SEEG With Robotic Assistance in the Presurgical Evaluation of Medical Refractory Epilepsy: A Technical Note

Published on: June 13, 2016

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

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Published on: May 20, 2016

Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE

Author Spotlight: Studying Clinical Characters and Epilepsy Outcomes After Frontal Disconnection in Patients with MOGHE

Published on: August 16, 2024

Area of Science:

Neurology
Neurosurgery
Medical Technology

Background:

Epilepsy surgery has seen significant technological advancements in the last decade.
Comprehensive epilepsy centers are integrating new diagnostic tools and surgical techniques.

Approach:

Review of recent innovations in preoperative evaluation, surgical techniques, and outcome prediction.
Emphasis on high-resolution imaging, machine learning for data analysis, and robotic-assisted electrode placement.

Key Points:

Advanced imaging detects subtle abnormalities, while machine learning enhances prediction models for personalized treatment.
Robotic-assisted depth electrode placement improves safety and understanding of seizure networks in drug-resistant epilepsy.
Minimally invasive techniques offer alternatives for ablating or disrupting epileptogenic regions, with ongoing research into long-term efficacy.

Conclusions:

Epilepsy surgery remains underutilized globally; patients with refractory seizures should be considered for surgical candidacy.
Collaboration among epilepsy centers is vital for advancing research on network dynamics and surgical outcomes.