Kuceyeski A, et al. - Researchers for the first time used a statistical modeling approach to ascertain whether the baseline pattern of connectome disruption due to T2-FLAIR lesions could predict a patient's future processing speed, as measured using the Symbol Digits Modality Test scores. From 61 early relapsing remitting multiple sclerosis patients, imaging data, demographics and Symbol Digits Modality Test scores were collected. Findings revealed that information about disruptions to pairwise brain connections was more informative of future processing speed than regional or global metrics or gray matter atrophy alone. In multiple sclerosis patients, the combination of quantitative disconnectome metrics, gray matter atrophy and statistical modeling approaches could enable clinicians in developing more accurate, individualized prognoses of future cognitive status.