Rs-fMRI data were pre-processed and analyzed using the Statistical Parametric Mapping software (SPM12)1 and the Data Processing Assistant for Resting-FMRI (DPARSF V 4.32). For the rs-fMRI data, the first five functional images were discarded to reduce the fluctuation of MRI signals during the initial stages of scanning. Then, the slice-timing, head motion correction, normalization by DARTEL and spatial smoothing (with an isotropic Gaussian kernel of a full-width-at-half-maximum (FWHM) of 8 mm) were performed. Besides, the irrelevant signals including mean white matter signal, mean cerebrospinal fluid (CSF) signal, 24 head motion parameters, and the linear trend were regressed out by using a multiple linear regression model. To reduce physiological interference, a band-pass filter (0.01 – 0.1 Hz) was applied on all functional images. Moreover, subjects with head motion exceeding 3 mm in the translation or 3° in rotation along any direction were discarded.

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