Abstract #2534

Distinct patterns of network-wise functional connectivity impairment discriminate Relapsing-Remitting Multiple Sclerosis with different disease duration

Gloria Castellazzi^1,2, Laëtitia Debernard^3,4, Tracy R Melzer^3,4, John C Dalrymple-Alford^3,5, Egidio D'angelo^2,6, David H Miller^3,4,7, Deborah F Mason^3,4,8, and Claudia AM Gandini Wheeler-Kingshott^6,7,9

¹Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, ²Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy, ³New Zealand Brain Research Institute, Christchurch, New Zealand, ⁴University of Otago, Christchurch, New Zealand, ⁵University of Canterbury, Christchurch, New Zealand, ⁶Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, ⁷Queen Square MS Centre Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, ⁸Department of Neurology, Christchurch Hospital, Christchurch, New Zealand, ⁹Brain MRI 3T Research Center, C. Mondino National Neurological Institute, Pavia, Italy

In this work we examined functional connectivity (FC) changes within and between the resting state networks (RSNs) caused by Relapsing Remitting Multiple Sclerosis (RRMS) in two cohorts showing mild disability but different disease duration. Our results demonstrate widespread functional alterations in both short and long duration RRMS groups (MS1 and MS2). The MS1 group showed more severe FC alterations compared to the MS2 group. Overall, these results suggest that there may be pathophysiological differences in RRMS groups with different disease durations. Longitudinal studies would be needed to investigate whether FC findings are able to predict the future course.

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