ArticleeLife2024
Population clustering of structural brain aging and its association with brain development.
Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Does Biological Subtyping of Brain Structure in Schizophrenia Bring Us Personalized Psychiatry?Biological psychiatry global open science · 2026Article
- From Neuroadaptation to Neuroprogression: Rethinking Chronic Cocaine Exposure Through a Model of Cocaine-Related Cerebropathy.Journal of clinical medicine · 2026Article
- Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.Network neuroscience (Cambridge, Mass.) · 2026Article
- The brain cortical similarity network: Development and sensitivity to early life stress in a rat model.bioRxiv : the preprint server for biology · 2025Article
- Modifiable traits and genetic associations with grey matter volume in mid-to-late adulthood: a population-based study in the UK biobank.npj aging · 2025Article
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29 authors.
Funding
Abstract
Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the 'last in, first out' mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.
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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 Socratic graph.