This study investigates whether it is possible to characterise different resting state fMRI (rsfMRI) networks connected to the cytoarchitectonic subdivisions of Brodmann area 4 (BA4) and how these networks behave in the presence of multiple sclerosis (MS). We showed that each sub-region identifies different rsfMRI networks, with the BA4p network including more associative and higher order functional areas whereas the BA4a network includes more force-related and motor areas. In MS, functional connectivity to the right hemisphere was lost and was positively correlated with the 9-HPT, suggesting a maladaptive mechanism rather than a compensatory mechanism.
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