Lara Jehi, MD, Cleveland Clinic, Cleveland, OH, talks on two studies that incorporated quantitative magnetic resonance imaging (MRI) measurements in statistical models to predict outcomes of surgery for temporal lobe epilepsy and frontal lobe epilepsy. From the software, they could find individual measurements of 71 different regions in the brain. Dr Jehi describes how the findings suggest brain abnormalities outside the area treated with surgery can influence outcome and the importance in looking at the brain holistically. It was also found that traditional regression methods were more successful for predicting outcomes than machine learning. This interview took place during the 34th International Epilepsy Congress, 2021.