ArticleCommunications biology2025
Distinct brain age gradients across the adult lifespan reflect diverse neurobiological hierarchies.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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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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
10 citing papers in PubMed.
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- β-Bursting as a Sensitive Neural Marker of Inhibitory Control in Healthy Older Adults: A Linear Mixed-Effects Modeling and Threshold-Free Cluster Approach.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Women's reproductive factors predict local brain aging profiles mapped using deep neural networks.GeroScience · 2026Article
- Article
- Brain age gradients as intermediate phenotypes linking plasma p-tau217 to cognition in community-dwelling older adults.NPJ dementia · 2026Article
- Epigenetic age is associated with regional brain aging along the sensorimotor-to-association axis of cortical organization.Neurobiology of aging · 2025Article
- Association between cardiovascular disease risk, regional brain age gap, and cognition in healthy adults.Frontiers in aging neuroscience · 2025Article
- Advanced brain aging mediates the relationship between cardiovascular health and aphasia severity in chronic stroke.Aging brain · 2025Article
- Harnessing team science in dementia research: Insights from the Alzheimer's disease research group in South Carolina.Journal of Alzheimer's disease reportsReview
- Motor- and cognitive-dominant functional network adaptations supporting dual-task performance in older adults.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
'Brain age' is a biological clock typically used to describe brain health with one number, but its relationship with established gradients of cortical organization remains unclear. We address this gap by leveraging a data-driven, region-specific brain age approach in 335 neurologically intact adults, using a convolutional neural network (volBrain) to estimate regional brain ages directly from structural MRI without a predefined set of morphometric properties. Six distinct gradients of brain aging are replicated in two independent cohorts. Spatial patterns of accelerated brain aging in older adults quantitatively align with the archetypal sensorimotor-to-association axis of cortical organization. Other brain aging gradients reflect neurobiological hierarchies such as gene expression and externopyramidization. Participant-level correspondences to brain age gradients are associated with cognitive and sensorimotor performance and explained behavioral variance more effectively than global brain age. These results suggest that regional brain age patterns reflect fundamental principles of cortical organization and behavior.
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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.