It resamples them to a common space (the "average" subject) but does not
average them together. The result is a "stack" which is a single file
with multiple subject it in it ready for GLM analysis
doug
On 4/6/14 6:18 PM, ye tian wrote:
Dear Doug,
Thank you, but I am only more confused after reading the summary. The
summary basically reaffirms my understanding that "mris_preproc" gives
"an average subject". How can this be an appropriate "data" for GLM,
which for sure needs multiple data points?
Thank you!
Sincerely,
Ye
On Sun, Apr 6, 2014 at 5:12 PM, Douglas Greve
<[email protected] <mailto:[email protected]>> wrote:
Hi Ye, have you looked at the mris_preproc help? You can access it
with mris_preproc --help. Let me know if that does not answer your
questions
doug
On 4/6/14 6:09 PM, ye tian wrote:
Hello Freesurfers,
I understand that the output of "mris_preproc" can be the input
of "mris_glmfit". In mris_glmfit, a GLM is performed.
Does "mris_preproc" give you a smoothed average of all the subjects?
If that's the case, how can you perform a GLM with just the
average? Don't you need the data (smoothed or not) of all subjects?
Thank you very much!
Sincerely,
Ye
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