ArticleBrain communications2021
Longitudinal deterioration of white-matter integrity: heterogeneity in the ageing population.
Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Divergent white matter metabolic signature patterns indicate impending cognitive decline in aging and dementia.Nature communications · 2026Article
- Evaluating structural connectivity disruption after stroke: individual tractography or the use of a model-based approach?NeuroImage. Clinical · 2026Article
- Atrophy trajectories in Alzheimer's disease: how sex matters.Alzheimer's research & therapy · 2025Article
- Variation in brain aging: A review and perspective on the utility of individualized approaches to the study of functional networks in aging.Neurobiology of aging · 2025Review
- Early subacute frontal callosal microstructure and language outcomes after stroke.Brain communications · 2025Article
- Inflammaging and Brain Aging.International journal of molecular sciences · 2024Review
- MRI subtypes in Parkinson's disease across diverse populations and clustering approaches.NPJ Parkinson's disease · 2024Article
- In vivo microstructural heterogeneity of white matter and cognitive correlates in aging using tissue compositional analysis of diffusion magnetic resonance imaging.Human brain mapping · 2024Article
- The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study design, data processing, and rationale.PloS one · 2024Article
- The volume and the distribution of premorbid white matter hyperintensities: Impact on post-stroke aphasia.Human brain mapping · 2024Article
- Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.Communications biology · 2023Article
- Resistance Training Increases White Matter Density in Frail Elderly Women.Journal of clinical medicine · 2023Article
- Clustering and disease subtyping in Neuroscience, toward better methodological adaptations.Frontiers in computational neuroscience · 2023Article
- Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease.Nature communications · 2022Article
- Bridging patterns of neurocognitive aging across the older adult lifespan.Neuroscience and biobehavioral reviews · 2022Review
- Article
- White Matter Integrity Underlies the Physical-Cognitive Correlations in Subjective Cognitive Decline.Frontiers in aging neuroscience · 2021Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
Deterioration in white-matter health plays a role in cognitive ageing. Our goal was to discern heterogeneity of white-matter tract vulnerability in ageing using longitudinal imaging data (two to five imaging and cognitive assessments per participant) from a population-based sample of 553 elderly participants (age ≥60 years). We found that different clusters (healthy white matter, fast white-matter decliners and intermediate white-matter group) were heterogeneous in the spatial distribution of white-matter integrity, systemic health and cognitive trajectories. White-matter health of specific tracts (genu of corpus callosum, posterior corona radiata and anterior internal capsule) informed about cluster assignments. Not surprisingly, brain amyloidosis was not significantly different between clusters. Clusters had differential white-matter tract vulnerability to ageing (commissural fibres > association/brainstem fibres). Identification of vulnerable white-matter tracts is a valuable approach to assessing risk for cognitive decline.
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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.