ArticleNeurology(R) neuroimmunology & neuroinflammation2019
Contribution of normal aging to brain atrophy in MS.
Article in Neurology(R) neuroimmunology & neuroinflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 82 citations in OpenAlex.
- Ocrelizumab-treated patients with relapsing multiple sclerosis show volume loss rates similar to healthy aging.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Trial
- Brain atrophy rates vary with age in relapsing-remitting multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Ocrelizumab-Induced Brain Volume Dynamics in Relapsing-Remitting Multiple Sclerosis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- FreeSurfer-Based MRI Volumetry Reveals Thalamic and Hippocampal Atrophy as Significant Correlates of Disability in Multiple Sclerosis.Medicina (Kaunas, Lithuania) · 2026Article
- Predicting multiple sclerosis from radiologically isolated syndrome using generative artificial intelligence.PLOS digital health · 2026Article
- Mediating effect of cognitive reserve on associations between processing speed and memory in older adults with and without multiple sclerosis.Neuropsychology · 2026Article
- Cellular senescence in multiple sclerosis: hallmarks, immunosenescence, and therapeutic implications.Frontiers in immunology · 2026Review
- Advancing multiple sclerosis management in older adults.Nature reviews. Neurology · 2025Article
- Identifying neuropsychological phenotypes in multiple sclerosis using latent profile analysis.European journal of neurology · 2025Article
- Should we stay or should we go? Recent insights on drug discontinuation in multiple sclerosis.Neurological research and practice · 2025Review
- Decomposing the effect of normal aging and Alzheimer's disease in brain morphological changes via learned aging templates.Scientific reports · 2025Article
- Patients with relapsing-remitting multiple sclerosis show accelerated whole brain volume and thalamic volume loss early in disease.Neuroradiology · 2025Article
- Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.Neurology · 2024Article
- The ageing central nervous system in multiple sclerosis: the imaging perspective.Brain : a journal of neurology · 2024Review
- Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures.Biomedicines · 2024Article
- De-escalation and Discontinuation of Disease-Modifying Therapies in Multiple Sclerosis.Current neurology and neuroscience reports · 2024Review
- Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2024Article
- Effects of power training in older patients with multiple sclerosis on neurodegeneration, neuromuscular function, and physical function. A study protocol for the "power training in older multiple sclerosis patients (PoTOMS) randomized control trial.Contemporary clinical trials communications · 2024Article
- Uncovering patterns of white matter degeneration in normal aging: Links between morphometry and microstructure.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age.
methodsSix hundred fifty subjects (2,790 MRI time points) were analyzed: 520 subjects with relapse-onset MS from a 5-year prospective cohort with annual standardized 1-mm 3D T1-weighted images (3DT1s; 2,483 MRIs) and 130 healthy controls with longitudinal 3DT1s (307 MRIs). Rates of change in all FreeSurfer regions (v5.3) and Structural Image Evaluation Using Normalization of Atrophy (SIENA) were estimated with mixed-effects models. All FreeSurfer regions were ranked by the MS-specific atrophy slope/standard error ratio (β
resultsThe top-ranked regions were all gray matter structures. For SIENA, normal aging increased from 0.01%/y at age 30 years to -0.31%/y at age 60 years (-0.11% ± 0.032%/decade,
conclusionsFor SIENA and thalamic atrophy, the contribution of normal aging increases with age, but does not change in the putamen and caudate. This may have substantial implications to understand the biology of brain atrophy in MS.
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Registered trials
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