FIG. 6.

(a) (Left). SVM block plot of FNC feature average weights of 100 iterations. The hotspots indicate FNC features with strong weights in predicting group differences of HC and SZ. Statistically, the relevance level of a relevant feature is expected to be >0 and that of an irrelevant one is expected to be 0 (or negative). The cerebellum, somatomotor, subcortical, and temporal domains almost always contribute to the classification. Generally, strong predictive abilities of FNC features in the somatomotor and visual domains were seen at all model orders. Visual was predictive only within the region between somatomotor and visual, but only seen at high model order (100) (b) (Right). SVM finger plot of FNC feature average weights of 100 iterations. Color images are available online.