Cortical reconstruction was performed using standard processes with the FreeSurfer image analysis suite v6.0.0. The T1 and T2 weighted images were used as input to FreeSurfer's processing pipeline \cite{Dale1999,Fischl1999}. Briefly, this processing consists of removal of non-brain tissue using a hybrid watershed/surface deformation procedure \cite{Ségonne2004}, automated Talairach transformation, segmentation of the subcortical white matter and deep gray matter volumetric structures \cite{Fischl2004,Fischl2002}, intensity normalization \cite{Sled1998}, tessellation of the gray matter white matter boundary, automated topology correction \cite{Fischl2001}, and surface deformation following intensity gradients to optimally place the gray/white and gray/cerebrospinal fluid borders at the location where the greatest shift in intensity defines the transition to the other tissue class \cite{dale:99,fischl:99}. Once the cortical models are complete, a number of deformable procedures are performed including surface inflation \cite{fischl:99}, registration to a spherical atlas which is based on individual cortical folding patterns to match cortical geometry across subjects \citep{HBM:HBM10}, and parcellation of the cerebral cortex into units with respect to gyral and sulcal structure \cite{Desikan2006,Fischl2004}. Results were visually inspected and manually corrected if needed. FreeSurfer output was converted to AFNI compatible format, and cortical surfaces were deformed to a standard mesh consisting of 36,002 vertices per hemisphere.