Dear HCP users/developers,

I was reading the NeuroImage paper "The minimal preprocessing pipelines for
the Human Connectome Project" and found the sentence below. Can anyone
explain how you went from 12 to 6 parameters? Did you for example calculate
the SVD of the 3 x 3 transformation matrix (excluding the translations) and
set the 3 singular values to 1?

"Next, the average T1w and T2w images are aligned to the MNI
space template (with 0.7 mm resolution for the HCP data) using a
rigid 6 DOF transform, derived from a 12 DOF affine registration."

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For the preprocessed structural data (in MNINonLinear), what is the
difference between T1w.nii.gz and T1w_restore.nii.gz? A bias field removal?

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Is it possible to see the fMRI data (e.g. the resting state data) with and
without distortion correction, excluding all other operations?  If not, can
anyone provide the necessary FSL commands to achieve distortion corrected
fMRI data from the unprocessed data?

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Thanks,
Anders

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