Dear hcp peeps,

Could you please help me with the following analysis workflow:


I am doing an analysis with HCP data where I identify patterns on the
?h.orig surfaces. What I want to do now is to resample these patterns
over vertices, such
that I have vertex-wise correspondence across subjects. I believe this
essentially requires the construction of and projection to a group template
(although I'm aware this could be done with e.g. fsaverage).

Here is where I'm at:


cd(freesurfer dir)


1. Read ?h.orig surfaces; compute patterns

(...some in-house stuff...)

2. Write patterns out to .mgh file

matlab:
save_mgh(pattern,outfile,eye(4));

...and/or python:
nibabel.MGHImage(pattern[:,numpy.newaxis,numpy.newaxis].astype(np.float32),numpy.eye(4)).to_filename(outfile)

3. Generate group template

make_average_subject --out avgsub --sd <fs dir> -subjects subj1 subj2 subj3...

Then for each subject:


4. Register to the new group template

mris_register -curv subj1/surf/lh.sphere avgsub/lh.reg.template.tif
subj1/surf/lh.sphere.reg.avgsub



5. Project the surface patterns identified in 1. and 2. above on to
the new group
template, so that the vertex values correspond across subjects, and can be
averaged, statistically compared. etc.

mri_surf2surf --srcsubject subj1 --srcsurfreg sphere.reg.avg_sub
--trgsubject avg_sub --trgsurfreg sphere.reg --hemi lh --sval <pattern mgh
file> --tval /tmp/test_avgsub.mgh


However this breaks down at mri_surf2surf, and I'm not particularly
confident that the earlier parts are exactly right either.


Could you please show me what commands I should be using for the aims as
described above?

Many thanks,

John




(p.s. yes this is a cross-post from freesurfer list; but got no
response from there, and it is regarding analysis of HCP data, so
didn't seem to heinous)




-- 

Dr. John Griffiths

Post-Doctoral Research Fellow

Rotman Research Institute, Baycrest

Toronto, Canada

and

Honorary Associate

School of Physics

University of Sydney

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