ArticleNeuroImage2022
Inter- and intra-individual variation in brain structural-cognition relationships in aging.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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
13 citing papers in PubMed.
- The Influence of Hobby Engagement on Cognitive Function Among Older Adults: A Population-Based Cohort Study Using Statistical Analysis and Machine Learning Predictions.Neurology international · 2025Article
- The silent saboteur: oxidative stress and the path to cognitive dysfunction.Neurodegenerative disease management · 2025Review
- Interpretable machine learning for precision cognitive aging.Frontiers in computational neuroscience · 2025Article
- Psychometric evaluation of the study interest questionnaire-short form among Chinese nursing students based on classical test theory and item response theory.BMC nursing · 2024Article
- Promoting Geropsychology: A Memorandum for Research, Policies, Education Programs, and Practices for Healthy Aging.International journal of environmental research and public health · 2024Review
- Data-driven decomposition and staging of flortaucipir uptake in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- The impact of sunlight exposure on brain structural markers in the UK Biobank.Scientific reports · 2024Article
- Brain gray matter morphometry relates to onset age of bilingualism and theory of mind in young and older adults.Scientific reports · 2024Article
- Cortical alterations associated with executive function deficits in youth with a congenital heart defect.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The Advanced BRain Imaging on ageing and Memory (ABRIM) data collection: Study design, data processing, and rationale.PloS one · 2024Article
- Assessing individual variability of the entorhinal subfields in health and disease.The Journal of comparative neurology · 2023Article
- Individual differences in brain aging: heterogeneity in cortico-hippocampal but not caudate atrophy rates.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Multiple brain activation patterns underlying successful visual short-term memory across the adult lifespan.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort with 3T brain magnetic resonance images acquired at older age (mean age = 69.52 ± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ±4.9 years) and late-life (mean age = 67.7 ± 4.9). Using non-negative matrix factorization, we identified 10 brain components integrating cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two latent variables describing distinct brain-cognition associations. The first describes variations in 5 structural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning, but maintenance of fluency abilities. The second describes variations in 6 structural components associated with low mid-life performance in fluency and memory, but retention of multiple abilities. Expression of latent variables predicts future cognition 3.2 years later (mean age = 70.87 ± 4.9). This data-driven approach highlights brain-cognition relationships wherein individuals degrees of cognitive decline and maintenance across diverse cognitive functions are both positively and negatively associated with markers of cortical structure.
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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.