Rapid atlas-based predictions of regional brain strain simulations from wearable head kinematics using diffusion MRI-informed machine learning

from 75% to 87% and an average RMSE from 0.02 to 0.04 between target and predicted regional strains, with low inter-athlete variability. This framework captures the location, magnitude, and temporal behaviour of regional brain strain simulations, enabling rapid estimation directly from wearable devices and potentially enabling personalised, real-time concussion monitoring in sport.