Author Interviews, Epilepsy, Technology / 11.12.2015
Computer Modeling May Improve Surgical Treatment of Temporal Lobe Epilepsy
MedicalResearch.com Interview with:
Dr. Frances Hutchings
Interdisciplinary Computing and Complex BioSystems
School of Computing Science, Newcastle University
Newcastle upon Tyne, United Kingdom
Medical Research: What is the background for this study?
Response: Temporal lobe epilepsy is a prevalent and disruptive disorder, which is often treated with surgical removal of epileptic tissue when medication fails to repress seizures. In around a third of cases surgery is unsuccessful at preventing seizures. The aim of this study is to seek ways to improve surgery success rates by giving a better prediction of where seizures are starting and spreading on an individual patient basis, using an individual’s brain imaging data. Surgery is simulated in the model to provide a prediction of a procedures effectiveness at reducing seizures.
Medical Research: What are the main findings?
Response: Using patient Diffusion Tensor Imaging data to reconstruct the brain as a network, locations commonly implicated in temporal lobe epilepsy were found by the model to be most vulnerable to seizures. Simulations of surgery (following a commonly used surgery procedure) in patient models predicted a surgery success rate close to 70%, matching clinical observations. Subject specific surgery simulations were also tried, following individual predictions from the model of which regions to remove for which person. These showed far greater improvements in seizure likelihood than regular surgery. This is a preliminary study and there is much to be done to improve the predictive success, and also to ensure that model predicted subject specific surgery regions are safe to remove. Nonetheless it is a significant move towards computer aided patient specific surgery planning to improve outcomes.
(more…)