The Effect of Neurorehabilitation on Multiple Sclerosis—Unlocking the Resting-State fMRI Data

Abstract

Multiple Sclerosis (MS) is a severe neurological condition, the incidence of which is growing on a global scale, reporting over 2.2 million cases worldwide in 2016 (Wallin et al., 2019). The symptoms associated with the disease vary and include gait and postural control changes, problems with vision, sensory symptoms, cognitive decline, depression, and others (Kister et al., 2013). Despite the seriousness of the condition, its' relative rareness and heterogeneity obstructs the neuroimaging research that could identify brain-dependent patterns that play a role in the disease's progression.