The rs-fMRI **data** preprocessing was conducted using the Data Processing and Analysis of Brain Imaging (DPABI) v2.1 (http://www.rfmri.org/dpabi) toolbox, 29 which is based on the Statistical Parametric Mapping software (SPM12, http://www.fil.ion.ucl.ac.uk/spm/software/spm12/) for the MATLAB platform (The MathWorks Inc., Natick, MA, USA), using a method consistent with protocols of previously published studies. 23 The preprocessing steps included the following: (1) discarding of the first 10 images to eliminate any magnetic saturation effects, and the remaining 230 images were used for further preprocessing; (2) slice-time and motion corrections; (3) registration of the high-resolution individual T1-weighted images to the mean functional data; (4) segmentation of the high-resolution T1-weighted images with the Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL) toolkit (this **data** also used in the analysis of local gray matter density) and generation of a group template; (5) transformation and normalization of the resulting aligned **data** to the Montreal Neurological Institute (MNI) space with the segmented information from DARTEL; (6) resampling of the normalized rs-fMRI **data** to 3×3×3 mm voxels and spatial smoothing with an isotropic 6-mm FWHM Gaussian kernel; (7) nuisance linear regression with the white matter, cerebrospinal fluid, and Friston-24 head motion parameters (including 6 head motion parameters and their historical effects as well as the 12 corresponding squared items); 30 and (8) removal of the linear trend and temporal bandpass (0.01-0.1 Hz) filtering.