- run quadratic regression on brain features with age, age^2, sex, agesex, and age^2sex
- run cluster analysis based on the coefficients in the regression model.
- build age prediction model for each cluster identified in the previous stage.
- examine how the predicted age (brain age), and brain age gap (chronological age - brain age) is associated with behavioral performance and disorder
For details, see our publication:
Xin Niu, Alexei Taylor, Russell T Shinohara, John Kounios, Fengqing Zhang, Multidimensional Brain-Age Prediction Reveals Altered Brain Developmental Trajectory in Psychiatric Disorders, Cerebral Cortex, 2022;, bhab530, https://doi.org/10.1093/cercor/bhab530