Graph theoretical network properties, while successful in exploring topological features of entire brain networks, have limited sensitivity to localized disease effects. This work explores the role of node strength as an objective way to characterize disease. Differences in the default mode network (DMN) between a cohort of relapsing-remitting multiple sclerosis (RRMS) patients and healthy controls (HC) have been explored using standard graph metrics (e.g. efficiency) and node strength. No differences in graph metrics were observed between the groups; however several key regions of the DMN had a significantly reduced strength in RRMS than HC (5% significance level).