ArticleBrain communications2022
Regional rather than global brain age mediates cognitive function in cerebral small vessel disease.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 23 citations in OpenAlex.
- Magnetic Resonance Imaging in Cerebral Small Vessel Disease-Related Depression: From Visual Scoring to Artificial Intelligence.CNS neuroscience & therapeutics · 2026Review
- Tissue- and compartment-resolved brain age reveals vascular-metabolic and neurodegenerative aging.Research square · 2026Article
- The role of metabolic health in neurostructural and cognitive alterations in bipolar disorders.Psychological medicine · 2026Article
- Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Clinical value of structural cranial magnetic resonance imaging analysis in assessing brain aging in ischemic stroke patients.BMC neurology · 2026Article
- Spatial heterogeneity and subtypes of functional connectivity development in youth.Nature communications · 2026Article
- Accelerated brain ageing in migraine: a multilevel MRI-based brain-age modelling study.Brain communications · 2026Article
- Age-inappropriate white matter injury reveals hidden cerebral small vessel disease burden and mortality risk.Cerebral circulation - cognition and behavior · 2026Article
- Biological brain aging, cognitive-motor decline and vascular risk: a multivariate imaging analysis of 40,579 individuals.Frontiers in aging neuroscience · 2026Article
- Regional brain aging patterns reveal disease-specific pathways of neurodegeneration.medRxiv : the preprint server for health sciences · 2025Article
- Current challenges and future directions for brain age prediction in children and adolescents.Nature communications · 2025Review
- White matter injuries mediate brain age effects on cognitive function in cerebral small vessel disease.Neuroradiology · 2025Article
- Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Association between cardiovascular disease risk, regional brain age gap, and cognition in healthy adults.Frontiers in aging neuroscience · 2025Article
- Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigm.Human brain mapping · 2024Article
- Acceleration of brain aging after small-volume infarcts.Frontiers in aging neuroscience · 2024Article
- Increased MRI-based Brain Age in chronic migraine patients.The journal of headache and pain · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The factors and mechanisms underlying the heterogeneous cognitive outcomes of cerebral small vessel disease are largely unknown. Brain biological age can be estimated by machine learning algorithms that use large brain MRI data sets to integrate and compute neuroimaging-derived age-related features. Predicted and chronological ages difference (brain-age gap) reflects advanced or delayed brain aging in an individual. The present study firstly reports the brain aging status of cerebral small vessel disease. In addition, we investigated whether global or certain regional brain age could mediate the cognitive functions in cerebral small vessel disease. Global and regional (400 cortical, 14 subcortical and 28 cerebellum regions of interest) brain-age prediction models were constructed using grey matter features from MRI of 1482 healthy individuals (age: 18-92 years). Predicted and chronological ages differences were obtained and then applied to non-stroke, non-demented individuals, aged ≥50 years, from another community-dwelling population (I-Lan Longitudinal Aging Study cohort). Among the 734 participants from the I-Lan Longitudinal Aging Study cohort, 124 were classified into the cerebral small vessel disease group. The cerebral small vessel disease group demonstrated significantly poorer performances in global cognitive, verbal memory and executive functions than that of non-cerebral small vessel disease group. Global brain-age gap was significantly higher in the cerebral small vessel disease (3.71 ± 7.60 years) than that in non-cerebral small vessel disease (-0.43 ± 9.47 years) group (
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