Most patients with multiple sclerosis (MS) eventually experience walking disability. The objective of this review was to evaluate the clinical utility of measures specific for walking in MS. Walking ...assessments had high reliability and were correlated with related measures, including the 12-item multiple sclerosis walking scale (MSWS-12). Shorter timed walking tests (Timed 25-foot Walk (T25FW), 10-metre Timed Walk, 30-metre Timed Walk) measure overall walking disability and are best suited for clinical settings, whereas longer timed or distance tests (100-metre Timed Walk, 6-minute Walk Test, 2-minute Walk Test) are better for the assessment of walking fatigability, distance limitations and functional capacity. The MSWS-12 measures different, but related, aspects of walking than the objective tests. The T25FW is the best characterised objective measure of walking disability and can be used across a wide range of walking disabilities. Additional work is needed to fully characterise the other objective walking assessments in MS.
The spinal cord is frequently affected in multiple sclerosis (MS), causing motor, sensory and autonomic dysfunction. A number of pathological abnormalities, including demyelination and neuroaxonal ...loss, occur in the MS spinal cord and are studied in vivo with magnetic resonance imaging (MRI). The aim of this review is to summarise and discuss recent advances in spinal cord MRI. Advances in conventional spinal cord MRI include improved identification of MS lesions, recommended spinal cord MRI protocols, enhanced recognition of MRI lesion characteristics that allow MS to be distinguished from other myelopathies, evidence for the role of spinal cord lesions in predicting prognosis and monitoring disease course, and novel post-processing methods to obtain lesion probability maps. The rate of spinal cord atrophy is greater than that of brain atrophy (−1.78% versus −0.5% per year), and reflects neuroaxonal loss in an eloquent site of the central nervous system, suggesting that it can become an important outcome measure in clinical trials, especially in progressive MS. Recent developments allow the calculation of spinal cord atrophy from brain volumetric scans and evaluation of its progression over time with registration-based techniques. Fully automated analysis methods, including segmentation of grey matter and intramedullary lesions, will facilitate the use of spinal cord atrophy in trial designs and observational studies. Advances in quantitative imaging techniques to evaluate neuroaxonal integrity, myelin content, metabolic changes, and functional connectivity, have provided new insights into the mechanisms of damage in MS. Future directions of research and the possible impact of 7T scanners on spinal cord imaging will be discussed.
Data suggest that patients with pediatric-onset multiple sclerosis (POMS) should initiate treatment with a disease-modifying therapy early to slow progression. The PARADIG
MS
trial demonstrated that ...oral fingolimod reduced the annual rate of relapse by 82% compared with intramuscular interferon beta-1a in children with POMS. The PARADIG
MS
study had a follow-up of 2 years, but no data are available about the safety and efficacy of fingolimod for longer periods in children with POMS. Here we present two cases of children with POMS who achieved sustained clinical benefit from treatment with fingolimod for more than 2 years. The first patient, an 11-year-old male, who participate in the PARADIG
MS
study, was treatment naïve at the time of fingolimod initiation. His clinical condition remained stable over 5 years of treatment, with no relapses and no radiological lesion progression. The second patient was a female who initiated fingolimod at the age of 12 years, 2 years after her POMS diagnosis and after an 8-month trial of interferon beta-1a. The patient had experienced two relapses during interferon beta-1a but had no relapses in more than 2 years of treatment with fingolimod, and her MRI scans showed no new or active lesions. These data show that prolonged treatment with fingolimod can be safe and effective during long-term treatment as first- or second-line therapy in children with POMS.
We performed a dual-task experiment to explore the effect of nabiximols on postural control in 22 patients with multiple sclerosis. They were assessed with static posturography and Stroop test in ...single- and dual-task conditions at treatment start and after 1, 3 and 12 months. At follow-up, we found more impaired postural control in single-task (F = 3.07, p = 0.044) and dual-task (F = 4.90, p = 0.005) conditions in patients who continued treatment (continuers, n = 11) compared with those who discontinued (quitters, n = 11). Continuers were more impaired at Stroop test only in dual-task condition (F = 3.17, p = 0.038). Our findings suggest that nabiximols had a detrimental effect on postural control, especially in multi-tasking conditions.
Summary Natalizumab, a highly specific α4-integrin antagonist, is approved for treatment of patients with active relapsing-remitting multiple sclerosis (RRMS). It is generally recommended for ...individuals who have not responded to a currently available first-line disease-modifying therapy or who have very active disease. The expected benefits of natalizumab treatment have to be weighed against risks, especially the rare but serious adverse event of progressive multifocal leukoencephalopathy. In this Review, we revisit and update previous recommendations on natalizumab for treatment of patients with RRMS, based on additional long-term follow-up of clinical studies and post-marketing observations, including appropriate patient selection and management recommendations.
Objective:
To describe a temporal association between COVID-19 vaccine administration and multiple sclerosis (MS) relapses.
Methods:
This case series study was collected in four MS Centres in Central ...Italy, using data from 16 MS patients who received COVID-19 vaccination and presented both clinically and radiologically confirmed relapses between March and June 2021. We collected patients' relevant medical history, including demographics, MS clinical course, disease-modifying treatment (DMT) received (if applicable), and data from MRI scans obtained after the COVID-19 vaccination.
Results:
Three out of 16 patients received a diagnosis of MS with a first episode occurring after COVID-19 vaccination; 13 had already a diagnosis of MS and, among them, 9 were on treatment with DMTs. Ten patients received BNT162b2/Pfizer-BioNTech, 2 patients mRNA-1273/Moderna, and 4 patients ChAdOx1 nCoV-19/AstraZeneca. All MS relapses occurred from 3 days to 3 weeks after receiving the first dose of the COVID-19 vaccination or the booster. All patients had evidence of radiological activity on MRI.
Discussion:
Clinical and radiological findings in these cohort of MS patients confirmed disease re/activation and suggested a temporal association between disease activity and COVID-19 vaccination. The nature of this temporal association, whether causative or incidental, remains to be established.
Background:
Effective therapeutic strategies to preserve function and delay progression in multiple sclerosis (MS) require early recognition of individual disease trajectories.
Objectives:
To ...determine the profiles of disability evolution, identify their early predictors and develop a risk score of increasing disability.
Methods:
We analysed demographic, clinical and magnetic resonance imaging (MRI) data from patients with relapsing MS, Expanded Disability Status Scale (EDSS) score of 3.0–4.0 and follow-up ≥ 2 years. Attaining EDSS = 6.0 defined increasing disability; relapses and/or MRI defined disease activity.
Results:
In total, 344 out of 542 (63.5%) patients reached EDSS ≥ 6.0; of these, 220 (64.0%) showed disease activity. In patients with activity, the number of relapses before reaching EDSS 3.0–4.0 predicted increasing disability; age > 45 at baseline predicted increasing disability without activity. Combining age and number of relapses increased the risk of and shortened the time to EDSS = 6.0.
Conclusion:
Increasing disability is frequently associated with persistent activity. The high number of relapses identifies early those patients worsening in the presence of activity. Age predicts increasing disability in the absence of activity. The presence of both factors increases the risk of developing severe disability. As this study likely describes the transition to progression, our findings contribute to improving patient management and stratification in trials on progressive MS.
Objectives
To evaluate the accuracy of a data-driven approach, such as machine learning classification, in predicting disability progression in MS.
Methods
We analyzed structural brain images of 163 ...subjects diagnosed with MS acquired at two different sites. Participants were followed up for 2–6 years, with disability progression defined according to the expanded disability status scale (EDSS) increment at follow-up. T2-weighted lesion load (T2LL), thalamic and cerebellar gray matter (GM) volumes, fractional anisotropy of the normal appearing white matter were calculated at baseline and included in supervised machine learning classifiers. Age, sex, phenotype, EDSS at baseline, therapy and time to follow-up period were also included. Classes were labeled as stable or progressed disability. Participants were randomly chosen from both sites to build a sample including 50% patients showing disability progression and 50% patients being stable. One-thousand machine learning classifiers were applied to the resulting sample, and after testing for overfitting, classifier confusion matrix, relative metrics and feature importance were evaluated.
Results
At follow-up, 36% of participants showed disability progression. The classifier with the highest resulting metrics had accuracy of 0.79, area under the true positive versus false positive rates curve of 0.81, sensitivity of 0.90 and specificity of 0.71. T2LL, thalamic volume, disability at baseline and administered therapy were identified as important features in predicting disability progression. Classifiers built on radiological features had higher accuracy than those built on clinical features.
Conclusions
Disability progression in MS may be predicted via machine learning classifiers, mostly evaluating neuroradiological features.
Motor fatigue is one of the most common symptoms in multiple sclerosis (MS) patients. Previous studies suggested that increased motor fatigue in MS may arise at the central nervous system level. ...However, the mechanisms underlying central motor fatigue in MS are still unclear.
This paper investigated whether central motor fatigue in MS reflects impaired corticospinal transmission or suboptimal primary motor cortex (M1) output (supraspinal fatigue). Furthermore, we sought to identify whether central motor fatigue is associated with abnormal M1 excitability and connectivity within the sensorimotor network.
Twenty-two patients affected by relapsing-remitting MS and 15 healthy controls (HCs) performed repeated blocks of contraction at different percentages of maximal voluntary contraction with the right first dorsal interosseus muscle until exhaustion. Peripheral, central, and supraspinal components of motor fatigue were quantified by a neuromuscular assessment based on the superimposed twitch evoked by peripheral nerve and transcranial magnetic stimulation (TMS). Corticospinal transmission, excitability and inhibition during the task were tested by measurement of motor evoked potential (MEP) latency, amplitude, and cortical silent period (CSP). M1 excitability and connectivity was measured by TMS-evoked electroencephalography (EEG) potentials (TEPs) elicited by M1 stimulation before and after the task.
Patients completed fewer blocks of contraction and showed higher values of central and supraspinal fatigue than HCs. We found no MEP or CSP differences between MS patients and HCs. Patients showed a post-fatigue increase in TEPs propagation from M1 to the rest of the cortex and in source-reconstructed activity within the sensorimotor network, in contrast to the reduction observed in HCs. Post-fatigue increase in source-reconstructed TEPs correlated with supraspinal fatigue values.
To conclude, MS-related motor fatigue is caused by central mechanisms related explicitly to suboptimal M1 output rather than impaired corticospinal transmission. Furthermore, by adopting a TMS-EEG approach, we proved that suboptimal M1 output in MS patients is associated with abnormal task-related modulation of M1 connectivity within the sensorimotor network. Our findings shed new light on the central mechanisms of motor fatigue in MS by highlighting a possible role of abnormal sensorimotor network dynamics. These novel results may point to new therapeutical targets for fatigue in MS.
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•Motor fatigue in multiple sclerosis (MS) is not due to corticospinal mechanisms.•Motor fatigue in MS is due to a suboptimal M1 output.•Suboptimal M1 output in MS is associated with abnormal modulation of M1 connectivity.•Motor fatigue in MS reflects abnormal fatigue-related sensorimotor network changes.
Multiple sclerosis (MS) is characterized by demyelinating and degenerative processes within the central nervous system. Unlike conventional MRI,new advanced imaging techniques improve pathological ...specificity and better highlight the relationship between anatomical damage and clinical impairment.
To investigate the relationship between clinical disability and both grey (GM) and white matter (WM) regional damage in MS patients.
Thirty-six relapsing remitting-MS patients and 25 sex- and age-matched controls were enrolled. All patients were clinically evaluated by the Expanded Disability Status Scale and the Multiple Sclerosis Functional Composite (MSFC) scale, which includes the 9-hole peg test (9HPT), the timed 25-feet walking test (T25FW) and the paced auditory serial addition test (PASAT). All subjects were imaged by a 3.0 T scanner: dual-echo fast spin-echo, 3DT1-weighted and diffusion-tensor imaging (DTI) sequences were acquired. Voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) analyses were run for regional GM and WM assessment, respectively. T2 lesion volumes were also calculated, by using a semi-automated technique.
Brain volumetric assessment of GM and DTI measures revealed significant differences between patients and controls. In patients, different measures of WM damage correlated each-other (p<0.0001), whereas none of them correlated with GM volume. In patients, focal GM atrophy and widespread WM damage significantly correlated with clinical measures. In particular, VBM analysis revealed a significant correlation (p<0.05) between GM volume and 9HPT in cerebellum and between GM volume and PASAT in orbito-frontal cortex. TBSS showed significant correlations between DTI metrics with 9HPT and PASAT scores in many WM bundles (p<0.05), including corpus callosum, internal capsule, posterior thalamic radiations, cerebral peduncles.
Selective GM atrophy and widespread WM tracts damage are associated with functional impairment of upper-limb motion and cognition. The combined analysis of volumetric and DTI data may help to better understand structural alterations underlying physical and cognitive dysfunction in MS.
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