Computational protocol: Characterization of the Fiber Connectivity Profile of the Cerebral Cortex in Schizotypal Personality Disorder: A Pilot Study

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Protocol publication

[…] Magnetic resonance data preprocessing was performed in two parts: construction of the cortical GM–WM interface based on 3D-T1WI and preprocessing of diffusion-weighted images (DWIs). Freesurfer () was used to preprocess 3D-T1WI. The preprocessing steps included intensity normalization, removal of non-brain tissue, automated Talairach transformation, GM–WM segmentation (), tessellation of the GM–WM boundary, automated topology correction (), and surface deformation following intensity gradients to optimally place the GM–WM and GM–cerebrospinal fluid border at the location where the greatest shift in intensity defined the transition to the other tissue class (; ). Preprocessing of the diffusion data was performed using the FSL toolbox (). First, head motion and eddy currents in DWI were corrected via affine registration to the first b0 volume. Then, skull and other non-brain tissues were removed using the Brain Extraction Tool (BET; ) in FSL. Finally, the resultant diffusion images and 3D-T1WI, along with the constructed GM–WM interface of the same subject, were co-registered using the ANTs toolbox. […]

Pipeline specifications

Software tools FreeSurfer, BET
Application Magnetic resonance imaging
Diseases Infarction, Middle Cerebral Artery