Our randomization method, which we used to correct for multiple comparisons, determined a p = 0.01 threshold which corresponded to a 60-voxel cluster size (24 voxels for p = 0.05). At the p = 0.01 threshold, the EEG-derived regressors resulted in significant group-level positive and negative correlations for multiple stimulus-locked and response-locked EEG training windows, indicated with diamonds and circles on Figure 3. Interestingly, all significant clusters correlating with single-trial variability in windows prior to the RT were negatively correlated with classifier output. Near the mean RT, we saw a reversal to positive correlations, and this effect lasted approximately 100 ms, after which all significant clusters were negative.
