| Title: | Cross-Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change |
| Journal: | Human Brain Mapping |
| Published: | 15 Apr 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40235434/ |
| DOI: | https://doi.org/10.1002/hbm.70203 |
Publication 15496
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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.</p>
13 Keywords
- Adult
- Aged
- Aged, 80 and over
- Aging
- Brain
- Cross-Sectional Studies
- Female
- Humans
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Multimodal Imaging
- Neuroimaging
10 Authors
- Max Korbmacher
- Didac Vidal-Pineiro
- Meng-Yun Wang
- Dennis van der Meer
- Thomas Wolfers
- Hajer Nakua
- Eli Eikefjord
- Ole A. Andreassen
- Lars T. Westlye
- Ivan I. Maximov
1 Application
| Application ID | Title |
|---|---|
| 27412 | Boosting the power of GWAS using novel statistical tools |
Enabling scientific discoveries that improve human health