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Methods:

We considered 873 GSP subjects (Yeo2011; Holmes2015) with both resting-state fMRI data and 25 behavioral/personality measures. We considered two identical preprocessing pipelines, whether GSR was performed. For both pipelines, preprocessing involves skipping the first 4 frames of each run, slice-time correction, motion correction, nuisance regression (ignoring censored frames), censoring (with interpolation), and bandpass filtering. The data were projected on fsaverage6 and smoothed by 6mm. For both pipelines, the nuisance regressors consisted of white matter, CSF, motion, and their temporal derivatives. One pipeline also includes GS (and its temporal derivatives) among the nuisance regressors. For each subject, a 400 x 400 RSFC matrix was computed based on a 400-area cortical parcellation (Schaefer, under revision).