Reproducibility of Resting State Connectivity in Patients with Stable Multiple Sclerosis

Daniela Pinter, Christian Beckmann, Marisa Koini, Eva Pirker, Nicola Filippini, Alexander Pichler, Siegrid Fuchs, Franz Fazekas and Christian Enzinger

PLOS ONE, 2016, vol. 11, issue 3, 1-11

Abstract: Given increasing efforts to use resting-state fMRI (rfMRI) as a biomarker of disease progression in multiple sclerosis (MS) we here explored the reproducibility of longitudinal rfMRI over three months in patients with clinically and radiologically stable MS. To pursue this aim, two approaches were applied in nine rfMRI networks: First, the intraclass correlation coefficient (ICC 3,1) was assessed for the mean functional connectivity maps across the entire network and a region of interest (ROI). Second, the ratio of overlap between Z-thresholded connectivity maps for each network was assessed. We quantified between-session functional reproducibility of rfMRI for 20 patients with stable MS and 14 healthy controls (HC). Nine rfMRI networks (RSNs) were examined at baseline and after 3 months of follow-up: three visual RSNs, the default-mode network, sensorimotor-, auditory-, executive control, and the left and right fronto-parietal RSN. ROI analyses were constrained to thresholded overlap masks for each individual (Z>0) at baseline and follow-up.In both stable MS and HC mean functional connectivity across the entire network did not reach acceptable ICCs for several networks (ICC

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0152158

DOI: 10.1371/journal.pone.0152158

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