ArticlePeerJ2018
Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Brain age prediction in stroke patients: Highly reliable but limited sensitivity to cognitive performance and response to cognitive training.NeuroImage. Clinical · 2020Trial
- The role of metabolic health in neurostructural and cognitive alterations in bipolar disorders.Psychological medicine · 2026Article
- Learning heritable multimodal brain representation via contrastive learning.Research square · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Biological brain aging, cognitive-motor decline and vascular risk: a multivariate imaging analysis of 40,579 individuals.Frontiers in aging neuroscience · 2026Article
- Neuroanatomical features reveal accelerated brain age in alcohol use disorder.bioRxiv : the preprint server for biology · 2025Article
- Genome-wide analysis of brain age identifies 59 associated loci and unveils relationships with mental and physical health.Nature aging · 2025Article
- Learning Latent Profiles via Cognitive Growth Charting in Psychosis: Design and Rationale for the PRECOGNITION Project.Schizophrenia bulletin open · 2025Article
- Joint Aging Patterns in Brain Function and Structure Revealed Using 27,793 Samples.Research (Washington, D.C.) · 2025Article
- Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals.eLife · 2024Article
- Brain asymmetries from mid- to late life and hemispheric brain age.Nature communications · 2024Article
- Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease.Molecular neurodegeneration · 2023Article
- Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models.bioRxiv : the preprint server for biology · 2023Article
- Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing.Human brain mapping · 2023Article
- Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power.Human brain mapping · 2023Article
- Associations between everyday activities and arterial spin labeling-derived cerebral blood flow: A longitudinal study in community-dwelling elderly volunteers.Human brain mapping · 2023Article
- The value of arterial spin labelling perfusion MRI in brain age prediction.Human brain mapping · 2023Article
- A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility.Patterns (New York, N.Y.) · 2023Review
- Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study.Translational psychiatry · 2023Article
- Observational
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimodal imaging enables sensitive measures of the architecture and integrity of the human brain, but the high-dimensional nature of advanced brain imaging features poses inherent challenges for the analyses and interpretations. Multivariate age prediction reduces the dimensionality to one biologically informative summary measure with potential for assessing deviations from normal lifespan trajectories. A number of studies documented remarkably accurate age prediction, but the differential age trajectories and the cognitive sensitivity of distinct brain tissue classes have yet to be adequately characterized. Exploring differential brain age models driven by tissue-specific classifiers provides a hitherto unexplored opportunity to disentangle independent sources of heterogeneity in brain biology. We trained machine-learning models to estimate brain age using various combinations of FreeSurfer based morphometry and diffusion tensor imaging based indices of white matter microstructure in 612 healthy controls aged 18-87 years. To compare the tissue-specific brain ages and their cognitive sensitivity, we applied each of the 11 models in an independent and cognitively well-characterized sample (
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