Understanding brain diseases can benefit from studying network organization of functional connectivity (FC) during resting state. Here we study the local topological properties of FC in minimally-disabled multiple sclerosis (MS) patients by comparison of their connectomes against healthy controls (HC). The level of detail needed to describe meaningful network properties is an ongoing topic, and here we propose to evaluate graph-theoretical measures at two local levels; i.e., connection/node and subnetwork level.