Stereo-EEG quantitative analysis of electrode trajectories and neurophysiological signals: optimising electrode accuracy and therapeutics

Stereoelectroencephalography(SEEG) is an invasive presurgical evaluation for drug-resistant epilepsy. Despite increasing clinical use and research advances, several challenges remain in SEEG practice. This thesis demonstrates that SEEG-derived anatomical and electrophysiological data can support preoperative models predicting electrode accuracy, reduce complications, and optimise RF-THC outcomes. It also highlights SEEG’s value in guiding the development of minimally invasive seizure detection and monitoring devices by assessing the feasibility of endovascular electrodes and identifying optimal electrode locations based on seizure and epilepsy type. Overall, this thesis offers evidence-based guidance for SEEG planning, informs clinical decision-making and patient counselling, and supports more personalised epilepsy treatment.