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Updated: Aug 31, 2025

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Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring
Published on: June 13, 2025
520
Previous, current, and future stereotactic EEG techniques for localising epileptic foci
Debayan Dasgupta1,2, Anna Miserocchi2, Andrew W McEvoy2
1Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Expert Review of Medical Devices
|August 25, 2022
Summary
Accurate identification of the epileptogenic zone is crucial for drug-resistant epilepsy surgery. Advances in stereoencephalography (SEEG), including image guidance and AI, are improving surgical planning and outcomes.
Area of Science:
- Neurosurgery
- Neurology
- Medical Imaging
Background:
- Drug-resistant focal epilepsy poses a global health challenge.
- Epilepsy surgery is an effective treatment, necessitating precise localization of the epileptogenic zone.
- Stereoencephalography (SEEG) is vital for cases with unclear noninvasive data.
Purpose of the Study:
- To review the evolution and current state of intracranial EEG, focusing on SEEG.
- To analyze the impact of technological advancements on SEEG accuracy and application.
- To provide insights into future directions in SEEG technology and analysis.
Main Methods:
- Review of historical and current practices in intracranial EEG and SEEG.
- Analysis of advancements in stereotactic image-guidance and robot-assisted navigation.
- Examination of improved imaging techniques and their role in SEEG.
Main Results:
- Technological innovations have enhanced the accuracy, scope, and utilization of SEEG.
- Integration of advanced imaging and navigation has improved electrode placement.
- Emerging AI and machine learning tools promise to refine EEG/SEEG analysis and visualization.
Conclusions:
- SEEG technology has significantly advanced, improving epilepsy surgery planning.
- Future developments in AI, surgical planning software, and integrated operating theaters will further enhance SEEG efficacy.
- These advancements are expected to improve efficiency and outcomes for patients with drug-resistant epilepsy.
Keywords:
Intracranial EEGcomputer-assisted planningdrug resistant focal epilepsyepilepsy surgeryneuronavigationrobot-assisted surgerystereo-EEGsurgical planning
