Multiple sclerosis-related white matter microstructural change alters the BOLD hemodynamic response.

Multiple sclerosis (MS) results in inflammatory damage to white matter microstructure. Prior research using blood-oxygen-level dependent (BOLD) imaging indicates MS-related alterations to brain function. What is currently unknown is the extent to which white matter microstructural damage influences BOLD signal in MS. Here we assessed changes in parameters of the BOLD hemodynamic response function (HRF) in patients with relapsing-remitting MS compared to healthy controls. We also used diffusion tensor imaging to assess whether MS-related changes to the BOLD-HRF were affected by changes in white matter microstructural integrity. Our results showed MS-related reductions in BOLD-HRF peak amplitude. These MS-related amplitude decreases were influenced by individual differences in white matter microstructural integrity. Other MS-related factors including altered reaction time, limited spatial extent of BOLD activity, elevated lesion burden, or lesion proximity to regions of interest were not mediators of group differences in BOLD-HRF amplitude. Results are discussed in terms of functional hyperemic mechanisms and implications for analysis of BOLD signal differences.

Asynchrony in executive networks predicts cognitive slowing in multiple sclerosis.

OBJECTIVE: Cognitive slowing is a core neuropsychological symptom of Multiple Sclerosis (MS). We aimed to assess the extent to which cognitive slowing in MS was predicted by changes in dorsolateral prefrontal networks. METHOD: We assessed patients with relapsing-remitting MS and healthy controls (HCs) on measures of processing speed. Participants underwent a functional MRI while performing a processing speed task to allow assessment of task-based connectivity. RESULTS: Patients were slower than HCs on the processing speed tasks. Patients showed attenuated connectivity between right and left dorsolateral prefrontal cortex (DLPFC) and task-relevant brain regions compared to HCs during processing speed task performance. Patients' connectivity with DLPFC in these group-disparate networks accounted for significant variability in their performance on processing speed measures administered both in and out of the imaging environment. Specifically, patients who had stronger functional connections with DLPFC in group-disparate networks performed faster than patients with weaker connections with DLPFC in group-disparate networks. CONCLUSION: Results suggest that MS-related cognitive slowing can be accounted for by systemic alterations in executive functional networks.