For each ROI, the averaged time courses of BOLD signal were used as the seed reference time series for calculating correlation with all other brain voxels’ time series. A false discovery rate (FDR) corrected p <0.05 was considered statistically significant for to reduce the occurrence of multiple comparison-related false positives. The result is a spatial map of correlation coefficients for every voxel in the brain representing an individual’s pattern of functional connectivity with the seed region. Fisher’s Z-transformation was applied to the individual correlation maps to adjust the variance of correlation coefficients for subsequent group level comparisons. The results were then transformed into Talairach space and separate group maps were generated for patient and normal controls. A significant cluster of correlation was defined as a group of at least 200 adjacent voxels. Spatial statistical analyses were conducted using AFNI.
