RT Journal Article
SR Electronic
T1 Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis
JF Neurology
JO Neurology
FD Lippincott Williams & Wilkins
SP 1449
OP 1457
DO 10.1212/WNL.0b013e31826d5f10
VO 79
IS 14
A1 Rocca, Maria A.
A1 Valsasina, Paola
A1 Martinelli, Vittorio
A1 Misci, Paolo
A1 Falini, Andrea
A1 Comi, Giancarlo
A1 Filippi, Massimo
YR 2012
UL http://n.neurology.org/content/79/14/1449.abstract
AB Objectives: Given that multiple sclerosis (MS) hits diffusely the brain hemispheres, we hypothesized that this should result in a distributed pattern of functional connectivity (FC) abnormalities. To this aim, we assessed, using resting-state (RS) fMRI, intrinsic FC and functional network connectivity (FNC) of brain large-scale neuronal networks from 85 patients with relapsing-remitting MS (RRMS) and 40 matched controls. Methods: Independent component analysis was used to analyze RS fMRI data. Intrinsic FC of each cluster of each RS network (RSN) was compared between controls and patients (analysis of variance adjusted for age, gender, and gray matter volume). The FNC toolbox was used to assess interactions among RSNs. Results: Compared to controls, patients with RRMS experienced a decreased RS FC in regions of the salience (SN), executive control (ECN), working memory (WMN), default mode (DMN), sensorimotor, and visual networks. They also had an increased RS FC in regions of the ECN and auditory RSN. Decreased RS FC was significantly correlated with disability and T2 lesion volumes. In patients with RRMS, when compared to controls, FNC analysis showed that the ECN had an increased connectivity with the SN and a decreased connectivity with the DMN. An abnormal connectivity between the WMNs and sensory networks was also found. Conclusions: Functional abnormalities within and between large-scale neuronal networks occur in patients with RRMS and are related to the extent of T2 lesions and the severity of disability. Longitudinal studies should ascertain whether such functional abnormalities confer a systematic vulnerability to disease progression or, conversely, protect against the onset of clinical deficits. ANOVA=analysis of variance; CIS=clinically isolated syndrome; DMN=default mode network; ECN=executive control network; EDSS=Expanded Disability Status Scale; FC=functional connectivity; FNC=functional network connectivity; GM=gray matter; GMV=gray matter volume; ICA=independent component analysis; IFG=inferior frontal gyrus; ITG=inferior temporal gyrus; LV=lesion volume; MS=multiple sclerosis; RRMS=relapsing-remitting multiple sclerosis; RS=resting-state; RSN=resting-state network; SN=salience network; WMN=working memory network