Cross‐Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change

The concept of brain age (BA) describes an integrative imaging marker of brain health, often suggested to reflect aging processes. However, the degree to which cross-sectional MRI features, including BA, reflect past, ongoing, and future brain changes across different tissue types from macro- to microstructure remains controversial. Here, we use multimodal imaging data of 39,325 UK Biobank participants, aged 44-82 years at baseline and 2,520 follow-ups within 1.12-6.90 years to examine BA changes and their relationship to anatomical brain changes. We find insufficient evidence to conclude that BA reflects the rate of brain aging. However, modality-specific differences in brain ages reflect the state of the brain, highlighting diffusion and multimodal MRI brain age as potentially useful cross-sectional markers.

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Publication Details

Journal
Human Brain Mapping
Published
2025-04-15
DOI
https://doi.org/10.1002/hbm.70203
Citations
7
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
9.52

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article

Cross‐Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change

Didac Vidal‐Piñeiro, Lars Tjelta Westlye, Thomas Wolfers, Ole A. Andreassen et al.
7 citations
Human Brain Mapping
Advanced Neuroimaging Techniques and Applications
9.52
article

Cross‐Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change

Didac Vidal‐Piñeiro, Lars Tjelta Westlye, Thomas Wolfers, Ole A. Andreassen, Hajer Nakua, Ivan I. Maximov, Max Korbmacher, Eli Eikefjord, Mengyun Wang, Dennis van der Meer
article en
7 citations

Abstract

The concept of brain age (BA) describes an integrative imaging marker of brain health, often suggested to reflect aging processes. However, the degree to which cross-sectional MRI features, including BA, reflect past, ongoing, and future brain changes across different tissue types from macro- to microstructure remains controversial. Here, we use multimodal imaging data of 39,325 UK Biobank participants, aged 44-82 years at baseline and 2,520 follow-ups within 1.12-6.90 years to examine BA changes and their relationship to anatomical brain changes. We find insufficient evidence to conclude that BA reflects the rate of brain aging. However, modality-specific differences in brain ages reflect the state of the brain, highlighting diffusion and multimodal MRI brain age as potentially useful cross-sectional markers.

Human Brain MappingVol. 46(6)
Oslo University Hospital (NO), Western Norway University of Applied Sciences (NO), University of Oslo (NO), Columbia University Irving Medical Center (US), Haukeland University Hospital (NO), Max Planck Institute for Psycholinguistics (NL), Vizrt (Norway) (NO), University of Tübingen (DE)
European Commission, Universitetet i Oslo, Norges Forskningsråd, Helse Sør-Øst RHF
Openalex Percentile: Top 2%
Advanced Neuroimaging Techniques and Applications
9.52
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