Brain aging mechanisms with mechanical manifestations

Area of Science:

• Neuroscience
• Biomechanics
• Gerontology

Background:

• Brain aging is a complex, multi-level process characterized by structural and pathological changes like volume loss and neuroinflammation.
• Recent interest in biomechanical modeling aims to predict brain shape changes in health and disease.

Purpose of the Study:

• To review imaging data on gray and white matter atrophy rates for model calibration.
• To review critical cell- and tissue-level aging mechanisms driving brain changes.
• To integrate imaging and mechanical modeling to differentiate normal aging from neurodegeneration.

Main Methods:

• Literature review of imaging-based data on brain atrophy.
• Literature review of cellular and tissue-level aging mechanisms.
• Focus on mechanisms manifesting as organ-level shape changes.

Main Results:

• Identified key imaging data for calibrating brain models.
• Detailed critical aging mechanisms at cellular and tissue levels.
• Established a framework for integrating imaging and mechanical modeling.

Conclusions:

• Integrating imaging and mechanical modeling is crucial for understanding brain aging.
• This approach may help identify the transition from normal aging to neurodegeneration.
• Further research can refine models for predicting age-related brain changes.