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Agnese Gugliandolo,1 Federica Longo,1 Maria Giovanna Marrosu,2 Giovanni Luigi Mancardi,3,4 Ilaria Gandoglia,3 Maurizio Melis,5 Fabrizio Lo Giudice,1 Placido Bramanti,1 Emanuela Mazzon1 1Department of Experimental Neurology, IRCCS Centro Neurolesi “Bonino Pulejo”, Messina, Italy; 2Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; 3Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; 4IRCCS Azienda Ospedaliera Universitaria San Martino-IST, Genoa, Italy; 5SC Neurologia e Stroke Unit, Azienda Ospedaliera G Brotzu, Cagliari, Italy Purpose: We performed a pharmacovigilance study of 10 drugs used in patients with relapsing-remitting multiple sclerosis (RR-MS). Our aim was to provide an overview of the safety of these drugs by the evaluation of reported expected and unexpected adverse reactions. Patients and methods: We collected and analyzed adverse drug reactions from RR-MS patients belonging to four hospitals in three Italian regions, for a period of 24 months. Results: We received a total of 411 adverse reactions, of which 84.18% were expected and only 15.82% were unexpected. We found no correlation between the number of reported adverse reactions and the route of administration (injectable/intravenous drugs N=224, oral drugs N=187). However, oral agents have caused a greater number of unexpected moderate-to-severe adverse reactions while, in injectable and infusion therapies, they have been evaluated as mild–moderate adverse reactions. Conclusion: Our results underscore the importance of monitoring the safety profile of multiple sclerosis therapies, with particular attention to oral agents that have been introduced later in the clinical practice. Keywords: pharmacovigilance, relapsing-remitting multiple sclerosis, adverse drug reaction, disease-modifying therapy, safety

Autologous haematopoietic stem cell transplantation (AHSCT) is a multistep procedure that enables destruction of the immune system and its reconstitution from haematopoietic stem cells. Originally developed for the treatment of haematological malignancies, the procedure has been adapted for the treatment of severe immune-mediated disorders. Results from ∼20 years of research make a compelling case for selective use of AHSCT in patients with highly active multiple sclerosis (MS), and for controlled trials. Immunological studies support the notion that AHSCT causes qualitative immune resetting, and have provided insight into the mechanisms that might underlie the powerful treatment effects that last well beyond recovery of immune cell numbers. Indeed, studies have demonstrated that AHSCT can entirely suppress MS disease activity for 4-5 years in 70-80% of patients, a rate that is higher than those achieved with any other therapies for MS. Treatment-related mortality, which was 3.6% in studies before 2005, has decreased to 0.3% in studies since 2005. Current evidence indicates that the patients who are most likely to benefit from and tolerate AHSCT are young, ambulatory and have inflammatory MS activity. Clinical trials are required to rigorously test the efficacy, safety and cost-effectiveness of AHSCT against highly active MS drugs.

Motor imagery (MI) relies on the mental simulation of an action without any overt motor execution (ME), and can facilitate motor learning and enhance the effect of rehabilitation in patients with neurological conditions. While functional magnetic resonance imaging (fMRI) during MI and ME reveals shared cortical representations, the role and functional relevance of the resting-state functional connectivity (RSFC) of brain regions involved in MI is yet unknown. Here, we performed resting-state fMRI followed by fMRI during ME and MI with the dominant hand. We used a behavioral chronometry test to measure ME and MI movement duration and compute an index of performance (IP). Then, we analyzed the voxel-matched correlation between the individual MI parameter estimates and seed-based RSFC maps in the MI network to measure the correspondence between RSFC and MI fMRI activation. We found that inter-individual differences in intrinsic connectivity in the MI network predicted several clusters of activation. Taken together, present findings provide first evidence that RSFC within the MI network is predictive of the activation of MI brain regions, including those associated with behavioral performance, thus suggesting a role for RSFC in obtaining a deeper understanding of neural substrates of MI and of MI ability. Hum Brain Mapp 37:3847-3857, 2016. © 2016 Wiley Periodicals, Inc.