ReviewBrain : a journal of neurology2024
The ageing central nervous system in multiple sclerosis: the imaging perspective.
Review in Brain : a journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prevalence of Slowly Expanding Lesions in Patients With Multiple Sclerosis: A Systematic Review and Meta-Analysis.Neurology · 2026Pooled it
- Effectiveness of technology-based exercise on motor function and quality of life in individuals with multiple sclerosis: an umbrella review.Journal of health, population, and nutrition · 2025Pooled it
- Task-oriented virtual reality and brain functional plasticity in progressive multiple sclerosis: A randomized controlled trial on upper limb rehabilitation.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Trial
- Sex- and age-specific associations ofAnnals of medicine · 2026Article
- Transcriptomic Challenges We Faced with Animal Models for Neurological Disorders.Current issues in molecular biology · 2026Review
- Accelerated Brain Aging in Multiple Sclerosis: Microstructural and Metabolic Correlates of the Brain Age Gap.Neurology international · 2026Article
- Clinical characteristics of late-onset adult autoimmune glial fibrillary acidic protein astrocytopathy: a retrospective cohort study.Journal of neurology · 2026Article
- Structural MRI signature of late- versus adult-onset multiple sclerosis: a multiparametric study.Journal of neurology · 2026Article
- Refining neuropsychological assessment strategies in multiple sclerosis: insights from long-term cognitive trajectories.Journal of neurology · 2026Article
- Accelerated metabolomic aging and its association with social determinants of health in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Anti-aging and Anti-inflammatory Dietary Interventions in Multiple Sclerosis: A Narrative Review.Neurology and therapy · 2026Review
- Spatial gene expression and functional network abnormalities in multiple sclerosis: exploring biological influence on brain functional reorganization.Translational psychiatry · 2026Article
- Clinical and MRI substrates of Symbol Digit Modalities Test impairment in multiple sclerosis patients with an adult- and late-onset.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Effect of late-onset on multiple sclerosis phenotype and outcome: evidence from a multi-national registry.Journal of neurology · 2026Observational
- Disability and Relapse Risk in Late-Onset Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease.JAMA network open · 2026Article
- Microglia-derived iron-overloaded exosomes induce neuronal ferroptosis and aggravate neurological impairment after subarachnoid hemorrhage.Journal of nanobiotechnology · 2026Article
- Progression-related outcomes of teriflunomide in multiple sclerosis clinical trials.Frontiers in neurology · 2026Review
- From HIV to SARS-CoV-2 associated neurological disorder ("HAND" to "SAND"): Viral infection as a "time-bomb" for the aging brain.Neuroscience applied · 2026Review
- Clinical, functional and cognitive features of late-onset multiple sclerosis.Journal of neurology · 2025Article
- Subcortical volume alterations indicate structural atrophy patterns over time in relapsing-remitting multiple sclerosis: a volBrain-based analysis.Irish journal of medical science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interaction between ageing and multiple sclerosis is complex and carries significant implications for patient care. Managing multiple sclerosis effectively requires an understanding of how ageing and multiple sclerosis impact brain structure and function. Ageing inherently induces brain changes, including reduced plasticity, diminished grey matter volume, and ischaemic lesion accumulation. When combined with multiple sclerosis pathology, these age-related alterations may worsen clinical disability. Ageing may also influence the response of multiple sclerosis patients to therapies and/or their side effects, highlighting the importance of adjusted treatment considerations. MRI is highly sensitive to age- and multiple sclerosis-related processes. Accordingly, MRI can provide insights into the relationship between ageing and multiple sclerosis, enabling a better understanding of their pathophysiological interplay and informing treatment selection. This review summarizes current knowledge on the immunopathological and MRI aspects of ageing in the CNS in the context of multiple sclerosis. Starting from immunosenescence, ageing-related pathological mechanisms and specific features like enlarged Virchow-Robin spaces, this review then explores clinical aspects, including late-onset multiple sclerosis, the influence of age on diagnostic criteria, and comorbidity effects on imaging features. The role of MRI in understanding neurodegeneration, iron dynamics and myelin changes influenced by ageing and how MRI can contribute to defining treatment effects in ageing multiple sclerosis patients, are also discussed.
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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.