The resting-state functional connectivity (rsFC) analysis was conducted using the CONN toolbox v.15 (http://www.nitrc.org/projects/conn). Preprocessing was performed using the standard CONN pipeline, which included realignment with three-dimensional rigid body registration with six degrees of freedom, coregistration to each participant's anatomical scan, slice-time correction, structural segmentation, normalization to the standard brain template with the Montreal Neurological Institute space, and spatial smoothing using an 8-mm full width at half maximum isotropic Gaussian kernel. White matter (WM) and cerebrospinal fluid signals were regressed from the data using CompCor (38). After detrending to remove the systematic drift or trend, a band-pass filter (0.01–0.08 Hz) was applied to reduce the effect of low-frequency drift and high-frequency physiological signal or noise.
