Creation & Validation of a White Matter Importance Map using Traumatic Brain Injury Patient Data

Amy Kuceyeski¹, Ashish Raj¹

Brain diseases such as stroke, multiple sclerosis and traumatic brain injury result in various levels of disability, depending on the affected areas location and size. We propose a computational methodology that assigns quantitative scores to the decrease in brain connectivity resulting from regional damage via a quantitative importance map of the brain. We use image data and clinical measures such as Attention Network Test (ANT) and California Verbal Learning Test (CVLT) in a set of patients with traumatic brain injury to show that correlations between image information and clinical measures improve to levels of significance when including importance map information.