Evidence map›Paper›PMID 42147461›Full record

ArticleFrontiers in aging neuroscience2026

Biological brain aging, cognitive-motor decline and vascular risk: a multivariate imaging analysis of 40,579 individuals.

Marvin Petersen, Moritz A Link, Carola Mayer, Felix L Nägele, Maximilian Schell, Märit Jensen, Eckhard Schlemm, Jens Fiehler, Jürgen Gallinat, Simone Kühn and 7 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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.

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

5 · Who and what money

Authors and funding

17 authors.

Marvin Petersen *Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Moritz A Link *Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Carola MayerDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Felix L NägeleDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Maximilian SchellDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Märit JensenDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Eckhard SchlemmDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jens FiehlerDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jürgen GallinatDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Simone KühnDepartment of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Raphael TwerenboldDepartment of General and Interventional Cardiology, University Heart and Vascular Center, Hamburg, Germany.
Amir OmidvarniaFaculty of Medicine, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Felix HoffstaedterFaculty of Medicine, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Kaustubh R PatilFaculty of Medicine, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Simon B EickhoffFaculty of Medicine, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Bastian ChengDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Age-related declines in cognitive and motor functions show highly variable trajectories. To better understand the underlying mechanisms, we investigated multivariate associative effects between modifiable vascular risk factors, biological brain aging, cognitive, and motor performance in 40,579 individuals from the population-based UK Biobank and Hamburg City Health Study. Methods: We employed partial least squares correlation analysis (PLS) to model associations between multi-domain cognitive and motor test scores and three distinct MRI-derived markers of biological brain aging: relative brain age (from morphometric brain imaging), white matter hyperintensity load, and peak width of skeletonized mean diffusivity. Furthermore, we conducted mediation analyses to assess if these markers mediate the impact of vascular risk on functional decline. Results: PLS identified a single dominant latent dimension explaining 94.7% of the shared variance between neuroimaging and behavior. This dimension linked higher biological brain aging markers - with relative brain age showing the strongest contribution - to poorer cognitive and motor performance, particularly in executive function and processing speed. Mediation analysis revealed that biological brain aging acts as a partial mediator for the negative effects of blood pressure, glucose, waist-hip ratio, and smoking load on cognitive and motor function. Notably, this mediating effect was not observed for cholesterol levels. These results were consistent across both cohorts. Discussion: Our study illustrates the associative interplay between vascular health, biological brain aging, and cognitive and motor performance, emphasizing the need for preventive strategies to maintain late-life independence in aging populations.

Indexed as

brain agecardiovascular riskcerebral small vessel diseasecognitive functionmotor functionneuroimagingwhite matter hyperintensities

Identifiers

PMID42147461
PMCPMC13176138

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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.