Trial reportJournal of neurology, neurosurgery, and psychiatry2021
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes.
Trial report in Journal of neurology, neurosurgery, and psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Iron accumulation in multiple sclerosis and implications for cognitive and clinical progression: a systematic review of advanced neuroimaging studies.Journal of neurology · 2026Pooled it
- Magnetic resonance imaging-based biomarkers of multiple sclerosis and neuromyelitis optica spectrum disorder: a systematic review and meta-analysis.Journal of neurology · 2024Pooled it
- Treatment effects of cladribine tablets on data-driven patterns of regional grey matter atrophy in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Trial
- Repeated prefrontal tDCS for improving mental health and cognitive deficits in multiple sclerosis: a randomized, double-blind, parallel-group study.Journal of translational medicine · 2024Trial
- Neural correlates of digital measures shown by structural MRI: a post-hoc analysis of a smartphone-based remote assessment feasibility study in multiple sclerosis.Journal of neurology · 2023Trial
- Nucleus-specific thalamic volumes and retinal thickness in pediatric-onset multiple sclerosis: a cross-sectional study.European journal of pediatrics · 2026Article
- Plasma CHI3L1 as a marker of cognitive and structural brain changes in radiologically isolated syndrome.BMJ neurology open · 2026Article
- Disability profiles in progressive multiple sclerosis reflect pathology distribution, independent of clinical phenotype.Brain communications · 2026Article
- Nomograms integrating cortical morphometric metrics with 3D multi-parametric MRI radiomics for predicting disability progression and cognitive worsening in relapsing-remitting multiple sclerosis: a multi-center validation study.Journal of neurology · 2025Article
- Clinically Relevant Patterns of Co-Fluctuating Structure and Function in Multiple Sclerosis.European journal of neurology · 2025Article
- Resting-State Activity Changes Induced by tDCS in MS Patients and Healthy Controls: A Simultaneous tDCS rs-fMRI Study.Bioengineering (Basel, Switzerland) · 2025Article
- Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research.Nature communications · 2025Article
- Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysis.Journal of neurology · 2025Article
- Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis.Journal of neurology · 2024Article
- Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Spinal cord and brain atrophy patterns in neuromyelitis optica spectrum disorder and multiple sclerosis.Journal of neurology · 2024Article
- Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time.Journal of neurology · 2024Article
- Causal relationship between multiple sclerosis and cortical structure: a Mendelian randomization study.Journal of translational medicine · 2024Article
- Rapid, non-contact multifocal visual assessment in multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Changes in diffusion tensor imaging indices in basal ganglia and thalamus of patients with Relapsing-Remitting Multiple Sclerosis and relation with clinical conditions: A case-control study.European journal of radiology open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 5 countries.
Funding
Abstract
objectiveIn multiple sclerosis (MS), MRI measures at the whole brain or regional level are only modestly associated with disability, while network-based measures are emerging as promising prognostic markers. We sought to demonstrate whether data-driven patterns of covarying regional grey matter (GM) volumes predict future disability in secondary progressive MS (SPMS).
methodsWe used cross-sectional structural MRI, and baseline and longitudinal data of Expanded Disability Status Scale, Nine-Hole Peg Test (9HPT) and Symbol Digit Modalities Test (SDMT), from a clinical trial in 988 people with SPMS. We processed T1-weighted scans to obtain GM probability maps and applied spatial independent component analysis (ICA). We repeated ICA on 400 healthy controls. We used survival models to determine whether baseline patterns of covarying GM volume measures predict cognitive and motor worsening.
resultsWe identified 15 patterns of regionally covarying GM features. Compared with whole brain GM, deep GM and lesion volumes, some ICA components correlated more closely with clinical outcomes. A mainly basal ganglia component had the highest correlations at baseline with the SDMT and was associated with cognitive worsening (HR=1.29, 95% CI 1.09 to 1.52, p<0.005). Two ICA components were associated with 9HPT worsening (HR=1.30, 95% CI 1.06 to 1.60, p<0.01 and HR=1.21, 95% CI 1.01 to 1.45, p<0.05). ICA measures could better predict SDMT and 9HPT worsening (C-index=0.69-0.71) compared with models including only whole and regional MRI measures (C-index=0.65-0.69, p value for all comparison <0.05).
conclusionsThe disability progression was better predicted by some of the covarying GM regions patterns, than by single regional or whole-brain measures. ICA, which may represent structural brain networks, can be applied to clinical trials and may play a role in stratifying participants who have the most potential to show a treatment effect.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.