Reproducibility of Resting State Connectivity in Patients with Stable Multiple Sclerosis.

PLoS One 2016 23;11(3):e0152158. Epub 2016 Mar 23.

Department of Neurology, Medical University of Graz, Graz, Austria.

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<0.40) but we found a high reproducibility of ROI ICCs and of the ratio of overlap. ROI ICCs of all nine networks were between 0.98 and 0.99 for HC and ranged from 0.88 to 0.99 in patients with MS, respectively. The ratio of overlap for all networks was similar for both groups, ranging from 0.60 to 0.75.Our findings attest to a high reproducibility of rfMRI networks not only in HC but also in patients with stable MS when applying ROI analysis. This supports the utility of rfMRI to monitor functional changes related to disease progression or therapeutic interventions in MS.

Download full-text PDF

August 2016
66 Reads

Publication Analysis

Top Keywords

entire network
rfmri networks
multiple sclerosis
connectivity maps
patients stable
functional connectivity
reproducibility rfmri
rfmri patients
functional reproducibility
between-session functional
baseline months
quantified between-session
stable healthy
examined baseline
networks rsns
assessed quantified
controls rfmri
healthy controls
rsns examined

Altmetric Statistics


(Supplied by CrossRef)
Multiple sclerosis
A Compston et al.
Lancet. Elsevier Ltd 2008
Cognition in multiple sclerosis
DW Langdon et al.
Curr Opin Neurol 2011
Cognitive impairment in multiple sclerosis
ND Chiaravalloti et al.
Lancet Neurol. Elsevier Ltd 2008
The epidemiology of multiple sclerosis in Europe
M Pugliatti et al.
Eur J Neurol 2006
Resting-state functional connectivity in multiple sclerosis: An examination of group differences and individual differences
AL Janssen et al.
Neuropsychologia. Elsevier 2013
The link between resting-state functional connectivity and cognition in MS patients
AJ Cruz-Gómez et al.
Mult Scler 2013
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data
DM Cole et al.
Front Syst Neurosci 2010

Similar Publications