Hi David,
thanks for the reply. I thought of doing this, and it wouldn't matter as
much if I was comparing resting scans. However, I want to compare
task-related ICNs and, therefore, cannot afford to delete any volumes.
I'm thinking that there must be a way to hijack the command line melodic.
If I can get it to run without anything from the inputreg folder like the
mask or bg_image, this might be possible.
Any thoughts anyone?
Thanks,
Craig.
On Nov 22 2011, David Soto wrote:
>Hi,
>
>What I do is to use fslroi to make all the runs to have the same volumes-
>eg discarding volumes to match all runs
>
>the command is fslroi 4Dfileoriginal new4Dfile 0 numberofvolumes
>
>where 4Dfileoriginal is the original dataset from which you want to cut
>new4Dfile is selfexplanatory
>0 equals to the first volume in the run
>numberofvolumes is the number you want to have and which is contained
>across all your study runs
>
>
>
>for i in STL01 STL03 STL04 STL05 STL08 STL09 STL10 STL11 STL12 STL13 STL14
>STL15 STL16 STL17 STL18 STL19 STL20 STL21 STL22; do for j in run1 run2
>run3; do fslroi /home/dsoto/Documents/fmri/stereofsl/$i/$j/4D.nii.gz
>/home/dsoto/Documents/fmri/stereofsl/$i/$j/new4D.nii.gz 0 498; done; done;
>
>On Tue, Nov 22, 2011 at 11:32 PM, Craig Moodie <[log in to unmask]> wrote:
>
>> Hello experts,
>>
I am currently completing a data analysis in which I would like to be
able
>> to look for shared components across three different scan types that have
three different durations and subsequent volume totals. I have been
having
trouble getting the FSL software to do this due to a volume mismatch in
the
preprocessing. Hence, I was wondering if it is possible to get around
this
>> issue by finding a way to generate a general template and running a
>> group-level melodic at the command line that somehow accounts for the
differences in scans? I would really appreciate the advice and I'll be
sure
>> to acknowledge you once I get this to work!
>>
>> Warm regards,
>> Craig.
>>
>
--
Craig Moodie,
PhD Student,
Department of Neuroscience,
University of Minnesota Medical School.
Tel:(651)408-4907
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