Ok that is something I tried recently actually - to merge all the runs
across all the subjects and then do a correlation with fisher-z transform.
The results didn't feel right in that they didn't look like typical
resting state images. That is why I wanted to double check I was doing it
the right
Hi - One important point - you should never temporally concatenate without
first demeaning the individual timeseries.
Cheers.
On 20 May 2014, at 10:14, Ausaf Bari aus...@gmail.com wrote:
Ok that is something I tried recently actually - to merge all the runs across
all the subjects and then
Should you also normalize so that the standard deviations of each
timeseries match?
Tim
On Tue, May 20, 2014 at 12:24 PM, Stephen Smith st...@fmrib.ox.ac.ukwrote:
Hi - One important point - you should never temporally concatenate without
first demeaning the individual timeseries.
Cheers.
Tim - minor correction in your cifti-math formula: I think you need the
cifti-output right after the expression.
On Tue, May 20, 2014 at 1:00 PM, Timothy Coalson tsc...@mst.edu wrote:
It isn't too hard with -cifti-reduce and -cifti-math (though it does need
-select and -repeat):
wb_command
On a similar note, I also want to find the group average of a particular
task fMRI such as the emotion task fMRI. I found a .dscalar.nii CIFTI file
for each task for each subject.
Can I average the .dscalar.nii files together across subjects with
cifti-average since these are just CIFTI scalars
I created a unix bash script that will automatically perform the
demeaning on the cleaned dense time series files over multiple subject
directories. Place this in your favorite scripts folder and update your
.bash_profile to include the script directory in you $PATH variable. If you
have any
You could do that if you just want a heuristic map of the group activation. But I wouldn’t use that for anything that requires meaningful statistics. To compute proper Level 3 task maps what we do currently is convert the CIFTI copes/varcopes to
NIFTI, merge them into a 4D NIFTI file, and
Thanks. I will try that.
-Ausaf
On Tue, May 20, 2014 at 8:25 PM, Harms, Michael mha...@wustl.edu wrote:
You could do that if you just want a heuristic map of the group
activation. But I wouldn’t use that for anything that requires meaningful
statistics. To compute proper Level 3 task
