ArticleProceedings of the National Academy of Sciences of the United States of America2023
Mapping human brain charts cross-sectionally and longitudinally.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Deep white-matter tracts link docosahexaenoic acid status to cognitive performance in human adolescents.iScience · 2026Article
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.Human brain mapping · 2026Article
- Lifestyle risk factors of white matter brain aging: Evidence, potential mechanisms, and future direction.Neural regeneration research · 2026Article
- Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains.Nature communications · 2026Article
- Perinatal Factors and Neuroimaging Changes for Brain Maturation Among Adolescents.JAMA network open · 2026Article
- Article
- Neurovariability as a signature of adaptive brain function.Brain structure & function · 2026Review
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Aging and metabolism contribute separately to brain-body health.PLoS biology · 2026Article
- Convergent and divergent brain-cognition development in early adolescence.Nature communications · 2026Article
- Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal dynamics of the human cortical functional hierarchy across the lifespan.Nature communications · 2026Article
- Dissociable contributions of cortical thickness and surface area to cognitive ageing: evidence from multiple longitudinal cohorts.bioRxiv : the preprint server for biology · 2026Article
- Personalized functional topography-based multisite brain age prediction modeling reveals divergent neurodevelopment in major depression.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Spatially and temporally progressive hypoperfusion in Alzheimer's disease revealed by normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Predicting developmental norms from baseline cortical thickness in longitudinal studies.Biology of sex differences · 2026Article
- Precision estimates of longitudinal brain aging capture unexpected individual differences in one year.Nature communications · 2026Article
- Article
- Sex-dependent dopaminergic vulnerability may contribute to sex differences in Parkinson's disease risk.Brain communications · 2026Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain scans acquired across large, age-diverse cohorts have facilitated recent progress in establishing normative brain aging charts. Here, we ask the critical question of whether cross-sectional estimates of age-related brain trajectories resemble those directly measured from longitudinal data. We show that age-related brain changes inferred from cross-sectionally mapped brain charts can substantially underestimate actual changes measured longitudinally. We further find that brain aging trajectories vary markedly between individuals and are difficult to predict with population-level age trends estimated cross-sectionally. Prediction errors relate modestly to neuroimaging confounds and lifestyle factors. Our findings provide explicit evidence for the importance of longitudinal measurements in ascertaining brain development and aging trajectories.
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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.