Mapping Neuroanatomical Heterogeneity of Brain Aging Within a Clinically Defined Aging Reference Cohort.

Yanxue Li, Hongjian Gao, Lan Lin, Min Xiong

Abstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanxue LiDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.

Hongjian GaoDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0002-9902-893X

Lan LinDepartment of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0002-3431-2753

Min XiongSchool of Science, North China University of Technology, Beijing 100144, China.

Funding

Beijing Municipality Natural Science Foundation L182010National Natural Science Foundation of China 81971683,12572064

6 · The paper itself

Abstract

Brain aging exhibits substantial interindividual heterogeneity, yet separating aging-related neuroanatomical variation from pathological influences remains methodologically challenging. To address this issue, we constructed a Clinically Defined Aging Reference (CDAR) cohort from the UK Biobank by excluding individuals with overt clinical pathology and applied the Surreal-GAN framework to characterize latent patterns of age-associated structural variations. A total of 26,251 participants were included. The model identified two co-occurring dimensions of brain aging, referred to as R

Indexed as

brain agingdeep learningheterogeneityinfluencing factorsstructural MRIUK Biobank

Identifiers

PMID42510509

DOI10.3390/bioengineering13070844

PMCPMC13404865

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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.