ArticleHuman brain mapping2025
Cross-Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change.
Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- From whole-body to organ-specific biological age clocks.Nature aging · 2026Review
- Brain Age in Adult Patients With Early-Treated Phenylketonuria.Journal of inherited metabolic disease · 2026Article
- Predicting developmental norms from baseline cortical thickness in longitudinal studies.Biology of sex differences · 2026Article
- Association of cumulative deficit frailty with brain age and Alzheimer's disease-related brain structure starting in late-middle age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Prediction of brain age using structural magnetic resonance imaging: a comparison of clinical utility of publicly available software packages.EBioMedicine · 2026Article
- Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis.Frontiers in aging neuroscience · 2025Article
- From early to contemporary normative modeling: Mapping individual differences in neurophysiological signals.Imaging neuroscience (Cambridge, Mass.)Article
- Stable individual differences dominate adult brain volume variation until later life.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The concept of brain age (BA) describes an integrative imaging marker of brain health, often suggested to reflect aging processes. However, the degree to which cross-sectional MRI features, including BA, reflect past, ongoing, and future brain changes across different tissue types from macro- to microstructure remains controversial. Here, we use multimodal imaging data of 39,325 UK Biobank participants, aged 44-82 years at baseline and 2,520 follow-ups within 1.12-6.90 years to examine BA changes and their relationship to anatomical brain changes. We find insufficient evidence to conclude that BA reflects the rate of brain aging. However, modality-specific differences in brain ages reflect the state of the brain, highlighting diffusion and multimodal MRI brain age as potentially useful cross-sectional markers.
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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.