Fig. 2.

Pipeline of white matter brain age prediction model based on whole brain white matter tracts. The training datasets (N = 300) went through the procedures of diffusion index estimation, tract-based automatic analysis, and data preprocessing to generate age-associated features of white matter tracts. These features were compressed by the autoencoder and the compact features were modeled to estimate age with Gaussian process regression. Another independent test dataset (N = 40) was used to test the generalizability of the model.