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A perspective on brain-age estimation and its clinical promise
Christian Gaser1,2,3, Polona Kalc4, James H Cole5,6
1Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany. christian.gaser@uni-jena.de.
Nature Computational Science
|July 24, 2024
Summary
Brain-age estimation uses neuroimaging to assess brain health. This perspective reviews advancements and future directions for brain-age as a clinical biomarker.
Area of Science:
- Neuroscience
- Medical Imaging
- Biomarker Development
Background:
- Brain-age estimation is a growing area in neuroscience.
- It offers insights into brain development and aging.
- Its potential as a brain health biomarker is significant.
Purpose of the Study:
- To provide an overview of current brain-age estimation advancements.
- To discuss the potential of brain-age as a biomarker.
- To envision the future evolution of brain-age frameworks for clinical use.
Main Methods:
- Review of current neuroimaging techniques for brain-age estimation.
- Analysis of the difference between estimated and chronological age.
- Exploration of open questions in brain-age research.
Main Results:
- Brain-age estimation shows promise as a biomarker for brain health.
- The gap between estimated and chronological age provides unique insights.
- Further research is needed to address remaining open questions.
Conclusions:
- Brain-age estimation is a valuable tool for understanding brain health.
- The framework is evolving towards potential hospital deployment.
- Continued research will refine its clinical utility.
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