Impact of surrounding tissue-type and peri-electrode gap in stereoelectroencephalography guided (SEEG) radiofrequency thermocoagulation (RF-TC): a computational study.

Santiago Collavini Juan J Pérez Enrique Berjano Mariano Fernández-Corazza Silvia Oddo Ramiro M Irastorza

Published in: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group (2024)

This study showed that computer modeling, especially subject- and scenario-specific modeling, can be used to estimate in advance the electrical and thermal performance of the RF-TC in brain tissue.

Keyphrases

deep learning
resting state
ultrasound guided
machine learning
carbon nanotubes
cerebral ischemia
functional connectivity
subarachnoid hemorrhage