Figure 5. Benchmark task two multivariate prediction – Classification evaluation.

(A) Support vector classification (SVC) using cortical thickness deviation scores as input features (most accurate model). (B) SVC using cortical thickness (residualized of sex and linear/quadratic effects of age) as input features. (C) SVC using functional brain network deviation scores as input features. (D) SVC using functional brain networks (residualized of sex and linear/ quadratic effects of age and motion (mean framewise displacement)) as input features.