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The triangulated meshes were then spatially aligned using a rigid transformation.
Registrations were performed using Elastix software [ 18] using a rigid transformation model (translations and rotations).
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To correct the misalignment (translation and rotation) of the optic axes of the eyes caused by the neuromuscular blockage, we used a rigid transformation (a minimum square method) to adjust the coordinates of all RFs from one eye to the corresponding RFs from the other eye.
Subsequently, all volumes were realigned to correct for head motion, by using a rigid body transformation.
Images were then coregistered to the individual's T1 weighted image using a rigid body transformation and were normalized to the Montreal Neurological Institute (MNI) T1 reference brain template (resampled voxel size, 1.5 × 1.5 × 1.5 mm) using the DARTEL toolbox [ 31].
Decussation realignment: For each participant, the 3DT1w volume in diffusion space (obtained in step 2) was realigned along the superior/inferior direction to the MNI-152 template using a rigid body transformation (6 degrees of freedom) with nearest neighbour interpolation.
Functional images collected from the scanner were slice time corrected, aligned with a representative functional volume and motion corrected using a rigid body spatial transformation, morphed into the standard Montreal Neurological Institutes space, and spatially smoothed using a 4-mm full-width at half-maximum Gaussian kernel.
The waypoint masks and seed masks were drawn on the color map of the diffusion MRI data transformed to each subject's T1 space using a rigid-body transformation.
The 15O-water and 18F-FDDNP PET data were integrated over 0 10-min and 0 10-minpost-injection, respectively, and were co-registered to the subject's MR images using a rigid-body transformation as described before.
Realignment registers each image in the time series to a mean image using a rigid-body transformation to correct for head movement.
The post-surgical volume was registered using a rigid registration approach [ 36] (Fig. 1h) and the calculated transformation matrix was applied to the post-surgical labels (Fig. 1m).
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