“…Quantitative data processing includes data cleaning (removal of individual images with noise spikes or severe motion artifact), realignment (separately for label and control images), spatial smoothing, and calculation of mean cerebral blood flow (CBF) maps; our methods and experience with this technique has been well documented (Deibler, et al, 2008a,Deibler, et al, 2008b,Deibler, et al, 2008c,Johnston, et al, 2013,Maldjian, et al, 2009,Maldjian, et al, 2008,McGehee, et al, 2012,Pollock, et al, 2008a,Pollock, et al, 2008b,Pollock, et al, 2009a,Pollock, et al, 2009b,Pollock, et al, 2008c,Pollock, et al, 2011,Pollock, et al, 2009c,Tan, et al, 2009,Watts, et al, 2013). The CBF maps were normalized to MNI space by coregistering to the T1 structural data using SPM8, and then combining this transformation matrix with the parameters computed in the VBM8 normalization procedure, allowing derivation of the gray matter cerebral blood flow (GMCBF) measure analyzed.…”