BrainAgeEngine

Predict brain age from neuroimaging features and quantify brain age gap as a biomarker of cognitive decline.

Features

• Brain age prediction from structural MRI features
• Brain age gap (BAG) computation and interpretation
• Aging trajectory modeling across 20-90 year range
• Cognitive decline correlation with BAG
• Neurodegeneration clock calibration

Results

500 subjects (20-90y); Prediction r=0.879; MAE=8.2y; BAG-MMSE r=-0.807

Usage

pip install numpy scipy matplotlib
python brain_age_engine.py

Tags

brain-age, aging-curves, cognitive-decline, neurodegeneration-clock, brain-clock