Fig. 1. Steps of Principal Component Regression Predictive Modeling.

Brain connectivity features enter data reduction yielding a smaller set of brain components. A linear regression model is fit with brain component expression scores predicting a phenotype. The components as well as betas from the linear regression are then applied out of-sample to test data to generate predicted scores and evaluate performance.