Figure 4.

Single-word semantic category classification performance. For all plots, the shadowed area represents the standard error of the mean (across participants). The green color highlights the times when the cluster-based permutation correction test revealed a significant cluster (α = 0.05) where accuracy was above 0.5, and the red the clusters that are still significant after Bonferroni’s correction (across ROIs). A, Individual-ROI task classification accuracy (ROC AUC) when decoding semantic features in LD block. B, Individual-ROI task classification accuracy (ROC AUC) when decoding semantic features in SD blocks. C, Combined-ROI root mean square of the activation patterns within each ROI (left) and classification accuracy (ROC AUC; right), when decoding semantic features in LD block when decoding LD. D, Combined-ROI root mean square of the activation patterns within each ROI (left) and classification accuracy (ROC AUC; right), when decoding semantic features in SD block.