Estimation of brain age delta from brain imaging

Area of Science:

• Neuroscience
• Biostatistics
• Medical Imaging

Background:

• Brain age estimation from neuroimaging is gaining traction.
• Brain age delta (difference between estimated brain age and chronological age) may indicate accelerated aging or resilience.
• Current methods for calculating brain age delta lack standardization and optimal approaches.

Purpose of the Study:

• To identify limitations in common brain age delta computation methods.
• To propose and evaluate improved methods for calculating brain age delta.
• To explore correlations between refined brain age delta and extensive non-imaging and imaging data.

Main Methods:

• Evaluation of different brain age delta estimation techniques.
• Utilizing simulated and real neuroimaging data for validation.
• Correlation analysis with over 5,000 non-imaging variables and 2,600 imaging-derived phenotypes.
• Leveraging UK Biobank participant data (N=19,000).

Main Results:

• Identified issues with the prevalent brain age delta calculation approach.
• Demonstrated improved accuracy and robustness of proposed delta estimation methods.
• Found significant correlations between corrected brain age delta and various health, lifestyle, and cognitive factors.
• Established strong associations with multimodal brain imaging data.

Conclusions:

• Optimized brain age delta calculation is essential for accurate biological age assessment.
• Refined brain age delta serves as a robust biomarker for healthspan and cognitive function.
• The study provides a validated framework for utilizing brain age delta in large-scale research.