Using Bonferroni correction, the correlation between seed-correlation and EEG-coherence components were considered significant for p < 0.05/64 = 0.0008 (there are 8 × 8 = 64 possible correlations between estimated ICA components). Similarly, using Bonferroni correction, group differences in the loading parameters for components were considered significant for p < 0.05/8 = 0.006 (group differences tested for 8 possible EEG or seed-correlation components). Although the loading parameters estimate the overall contribution of every voxel or coherence of an estimated component to each subject's seed-correlation or coherence map, many of the voxels or coherences have relatively very small magnitude contribution to the component, although they can be presumed to covary jointly. Therefore, to aid in visualization, each component was scaled to unit standard deviation, yielding z-score “networks”, then thresholded at | z | > 1.96, highlighting the largest magnitude contributions to each component.