ArticleBMC neurology2016
Multimodal evoked potentials for functional quantification and prognosis in multiple sclerosis.
Article in BMC neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early diagnosis of secondary progressive multiple sclerosis: focus on fluid and neurophysiological biomarkers.Journal of neurology · 2021Pooled it
- Investigating the Relationship Between Visual Evoked Potentials, Neurological and Neuropsychological Status in Primary Progressive Multiple Sclerosis.Journal of clinical medicine · 2026Article
- Refining Prognostic Factors in Adult-Onset Multiple Sclerosis: A Narrative Review of Current Insights.International journal of molecular sciences · 2025Review
- Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow-Up Study.Annals of clinical and translational neurology · 2025Observational
- Clinical and paraclinical characteristics of optic neuritis in the context of the McDonald criteria 2017.Scientific reports · 2024Article
- Beyond lines of treatment: embracing early high-efficacy disease-modifying treatments for multiple sclerosis management.Therapeutic advances in neurological disorders · 2024Review
- Prognostic Role of Visual Evoked Potentials in Non-Neuritic Eyes at Multiple Sclerosis Diagnosis.Journal of clinical medicine · 2023Article
- Somatosensory evoked potentials and their relation to microstructural damage in patients with multiple sclerosis-A whole brain DTI study.Frontiers in neurology · 2022Article
- Role of artificial intelligence in MS clinical practice.NeuroImage. Clinical · 2022Review
- Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis.BMC neurology · 2020Article
- Deciphering the Morphology of Motor Evoked Potentials.Frontiers in neuroinformatics · 2020Article
- Measuring network disruption in neurodegenerative diseases: New approaches using signal analysis.Journal of neurology, neurosurgery, and psychiatry · 2019Review
- Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2019Review
- Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method.PloS one · 2019Article
- Article
- Epidermal Electrode Technology for Detecting Ultrasonic Perturbation of Sensory Brain Activity.IEEE transactions on bio-medical engineering · 2018Article
- Therapeutic Targets for Multiple Sclerosis: Current Treatment Goals and Future Directions.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017Review
- Clinically Isolated Syndrome According to McDonald 2010: Intrathecal IgG Synthesis Still Predictive for Conversion to Multiple Sclerosis.International journal of molecular sciences · 2017Article
- A new role for evoked potentials in MS? Repurposing evoked potentials as biomarkers for clinical trials in MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2017Review
- Cytotoxic CD4+ T Cells Drive Multiple Sclerosis Progression.Frontiers in immunology · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFunctional biomarkers able to identify multiple sclerosis (MS) patients at high risk of fast disability progression are lacking. The aim of this study was to evaluate the ability of multimodal (upper and lower limbs motor, visual, lower limbs somatosensory) evoked potentials (EP) to monitor disease course and identify patients exposed to unfavourable evolution.
methodsOne hundred MS patients were assessed with visual, somatosensory and motor EP and rated on the Expanded Disability Status Scale (EDSS) at baseline (T0) and about 6 years later (T1). The Spearman correlation (rS) was used to evaluate the relationship between conventional EP scores and clinical findings. Multiple (logistic) regression analysis estimated the predictive value of baseline electrophysiological data for three clinical outcomes: EDSS, annual EDSS progression, and the risk of EDSS worsening.
resultsIn contrast to longitudinal correlations, cross-sectional correlations between the different EP scores and EDSS were all significant (0.33 ≤ rS < 0.67, p < 0.001). Baseline global EP score and EDSS were highly significant predictors (p < 0.0001) of EDSS progression 6 years later. The baseline global EP score was found to be an independent predictor of the EDSS annual progression rate (p < 0.001), and of the risk of disability progression over time (p < 0.005). Based on a ROC curve determination, we defined a Global EP Score cut off point (17/30) to identify patients at high risk of disability progression illustrated by a positive predictive value of 70%.
conclusionThis study provides a proof of the concept that electrophysiology could be added to MRI and used as another complementary prognostic tool in MS patients.
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