Fig. 5
Relation to ASD symptom severity. a A supervised learning algorithm with 5-fold cross-validation was trained on gradient and SFC features to predict total ADOS scores and subscores in individuals with ASD. Significant accuracy was achieved for total ADOS scale (shown) and subscales for social cognition and repetitive behavior/interest (permutation-tests; p < 0.05). b Selected features across 100 iterations of the cross-validation, showing frequently selected features in hot colors. Community-based stratification18 illustrates that most features were selected in visual, salience, and the DMN. c Prediction of subdomains (i.e., social cognition, communication, repetitive behavior/interest)
