Data were acquired on a Philips Achieva 3T MRI scanner with a 32-channel head coil. All participants completed one high-resolution, 3D anatomical, T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) sequence. The parameters were as follows: 176 sagittal slices (1 mm thickness), TR = 7.2 ms, TE = 3.2 ms, FA = 8°, FOV = 240 mm, and voxel size = 1 mm3. Total acquisition time was 4 min and 34 s.
All MRI data were processed individually through the automated subcortical segmentation and cortical parcellation tool in FreeSurfer, version 5.3 (Martinos Center for Biomedical Imaging, Charlestown, MA, USA) (Fischl et al. 2002 (link); Fischl 2012 (link)). To increase the probability that each discrete region is correctly labelled, FreeSurfer considers aspects of the collected data and general aspects of MRI such as signal intensity of different regions, producing accurate and reliably segmentation (Jovicich et al. 2009 (link)). The software produces indices of area, thickness, and volume for cortical structures, and volume for subcortical structures, resulting in 274 unique neuroanatomical features. White matter, gray matter, and pial matter boundaries were reviewed in each subject for gross artifacts and errors in segmentation by the authors (LS and JB).