Resting functional magnetic resonance (fMRI) data were collected using a twelve-channel head coil on a Siemens Tim Trio 3.0 T scanner (Siemens Medical Solutions, Erlangen Germany) located at Queen's Medical Center in Honolulu, using a protocol described in (Camchong et al., 2013b). All imaging data were preprocessed using the AFNI (Analysis of Functional NeuroImages (Ward, 2000) and FMRIB Software Libraries (FSL; FMRIB, Oxford, United Kingdom), as detailed in (Camchong et al., 2013b). In summary, preprocessing consisted of: slice time correction; three-dimensional motion correction (using a 6 degree of freedom rigid registration with the first volume as reference); temporal despiking; spatial smoothing, mean-based intensity normalization; temporal bandpass filtering; and linear and quadratic detrending. In addition, probabilistic independent component analysis was conducted for each individual to denoise individual data by removing components that represented motion, scanner artifacts, and physiological noise. Noise components were selected by spatial and temporal characteristics detailed in the MELODIC (FSL) manual (http://fmrib.ox.ac.uk/fslcourse/lectures/melodic.pdf) using selection criteria of noise components as described in (Kelly et al., 2010). A between-groups t-test conducted to look for differences in the sum of total
