Biological Brain Aging, Cognitive-Motor Decline and Vascular Risk in 40,579 Individuals

A dataset of 40,579 individuals from the UK Biobank and Hamburg City Health Study linking vascular risk factors, MRI-derived brain aging markers, and cognitive-motor performance. The data was used in a multivariate imaging analysis employing partial least squares correlation and mediation analyses. The dataset was published by Marvin Petersen under a CC-BY-4.0 license and last updated on May 1, 2026.

Use Cases

• Modeling associations between vascular risk factors and cognitive-motor performance based on the described analysis.
• Investigating MRI-derived brain aging markers as mediators of functional decline.
• Validating findings on the interplay between vascular health and brain aging across distinct cohorts.

Strengths

• Large sample size of 40,579 individuals from two population-based cohorts.
• Analysis identified a dominant latent dimension explaining 94.7% of shared variance between neuroimaging and behavior.
• Results were consistent across both the UK Biobank and Hamburg City Health Study cohorts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is stored as an 8.6 MB PDF, which may require extraction of underlying data.

Provenance

Source

UK Biobank and Hamburg City Health Study.

Collection Method

Population-based study employing MRI scans, cognitive and motor tests, and vascular risk assessments.

Freshness

Last updated 2026-05-01 05:28:04; freshness should be verified.

Geography

United Kingdom and Germany.