ArticleEuropean journal of neurology2022
Brain age as a surrogate marker for cognitive performance in multiple sclerosis.
Article in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Accelerated Brain Aging Identifies Functional Vulnerability Beyond Chronological Age in Multiple Sclerosis.Sensors (Basel, Switzerland) · 2026Trial
- A comparative evaluation of brain MRI modalities, modality-specific measures, brain regions, and cognitive tests for brain age prediction.GeroScience · 2026Article
- Mediation Analysis Between Brain Age, Disease-Modifying Factors, and Disability and Cognitive Performance in Multiple Sclerosis.Neurology · 2026Article
- Aging beyond diagnosis: the MRI brain age gap across disorders.GeroScience · 2026Review
- Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis.Human brain mapping · 2026Article
- Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.Neurology · 2026Article
- Real-world federated learning for brain imaging scientists.Frontiers in digital health · 2026Article
- The effect of lesion filling on brain age estimation in multiple sclerosis.BMC medical imaging · 2025Article
- Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel.eLife · 2025Article
- BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Global functional connectivity reorganization reflects cognitive processing speed deficits and fatigue in multiple sclerosis.European journal of neurology · 2025Article
- Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.Neurology · 2024Article
- Machine learning of brain-specific biomarkers from EEG.EBioMedicine · 2024Article
- Brain age as a biomarker for pathological versus healthy ageing - a REMEMBER study.Alzheimer's research & therapy · 2024Article
- Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals.eLife · 2024Article
- Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Analysis and visualization of the effect of multiple sclerosis on biological brain age.Frontiers in neurology · 2024Article
- Magnetic resonance image-based brain age as a discriminator of dementia conversion in patients with amyloid-negative amnestic mild cognitive impairment.Scientific reports · 2023Article
- A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility.Patterns (New York, N.Y.) · 2023Review
- Advances in Neurodegenerative Diseases.Journal of clinical medicine · 2023Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeData from neuro-imaging techniques allow us to estimate a brain's age. Brain age is easily interpretable as 'how old the brain looks' and could therefore be an attractive communication tool for brain health in clinical practice. This study aimed to investigate its clinical utility by investigating the relationship between brain age and cognitive performance in multiple sclerosis (MS).
methodsA linear regression model was trained to predict age from brain magnetic resonance imaging volumetric features and sex in a healthy control dataset (HC_train, n = 1673). This model was used to predict brain age in two test sets: HC_test (n = 50) and MS_test (n = 201). Brain-predicted age difference (BPAD) was calculated as BPAD = brain age minus chronological age. Cognitive performance was assessed by the Symbol Digit Modalities Test (SDMT).
resultsBrain age was significantly related to SDMT scores in the MS_test dataset (r = -0.46, p < 0.001) and contributed uniquely to variance in SDMT beyond chronological age, reflected by a significant correlation between BPAD and SDMT (r = -0.24, p < 0.001) and a significant weight (-0.25, p = 0.002) in a multivariate regression equation with age.
conclusionsBrain age is a candidate biomarker for cognitive dysfunction in MS and an easy to grasp metric for brain health.
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