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Cross-Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change
Max Korbmacher1,2,3, Didac Vidal-Pineiro4, Meng-Yun Wang5
1Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
Brain age (BA) estimates from MRI scans may not reflect the rate of brain aging. However, specific MRI types, like diffusion and multimodal, show promise as markers of current brain health.
Area of Science:
- Neuroimaging
- Radiology
- Gerontology
Background:
- Brain age (BA) is an imaging marker proposed to indicate brain health and aging.
- Its ability to reflect past, present, and future brain changes across tissues is debated.
Purpose of the Study:
- To investigate whether brain age (BA) derived from multimodal MRI data reflects the rate of brain aging.
- To examine the relationship between BA and anatomical brain changes over time.
Main Methods:
- Utilized multimodal MRI data from 39,325 UK Biobank participants (aged 44-82 years).
- Included 2,520 follow-up assessments over 1.12-6.90 years.
- Analyzed cross-sectional and longitudinal changes in BA and anatomical features.
Main Results:
- Found insufficient evidence that BA accurately tracks the rate of brain aging.
- Observed that modality-specific brain ages reflect the current state of the brain.
- Diffusion and multimodal MRI brain ages show potential as cross-sectional markers.
Conclusions:
- Brain age is not a reliable indicator of the rate of brain aging.
- Diffusion and multimodal MRI brain age are potentially valuable for assessing current brain health.
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