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 wrote:
> Ok that is something I tried recently actually - to merge all the runs across
> all the subjects and then do a correlati
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 wrote:
> Hi - One important point - you should never temporally concatenate without
> first demeaning the individual timeseries.
> Cheers.
>
>
>
> On 20 May 2
Demean and normalize functionality might be useful things to add to wb_command -cifti-merge, unless there is a simple wb_command way to do this already (we generally do this in matlab now).
Matt.
From: Timothy Coalson
Date: Tuesday, May 20, 2014 at 12:19 PM
To: Stephen Smi
That was going to be my next question. I was going to try wb_command
-cifti-math or -cifti-reduce. Do you have an available matlab script?
-Ausaf
On Tue, May 20, 2014 at 12:44 PM, Glasser, Matthew
wrote:
> Demean and normalize functionality might be useful things to add to
> wb_command -cifti-
It isn't too hard with -cifti-reduce and -cifti-math (though it does need
-select and -repeat):
wb_command -cifti-reduce MEAN mean.dtseries.nii
wb_command -cifti-reduce STDEV stdev.dtseries.nii
wb_command -cifti-math '(x - mean) / stdev' -fixnan 0 -var x -var
mean mean.dtseries.nii -select 1 1
Tim - minor correction in your cifti-math formula: I think you need the
right after the expression.
On Tue, May 20, 2014 at 1:00 PM, Timothy Coalson wrote:
> It isn't too hard with -cifti-reduce and -cifti-math (though it does need
> -select and -repeat):
>
> wb_command -cifti-reduce MEAN mea
Wups, yeah, forgot that bit. Nice catch.
Tim
On Tue, May 20, 2014 at 3:12 PM, Ausaf Bari wrote:
> Tim - minor correction in your cifti-math formula: I think you need the
> right after the expression.
>
>
> On Tue, May 20, 2014 at 1:00 PM, Timothy Coalson wrote:
>
>> It isn't too hard with
Is there any advantage to doing the group resting state analysis with
MELODIC ( using multi-session temporal concatenation) instead of the wb
commands?
-Ausaf
On Tue, May 20, 2014 at 1:12 PM, Ausaf Bari wrote:
> Tim - minor correction in your cifti-math formula: I think you need the
> right a
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 fi
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 ques
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,
Thanks. I will try that.
-Ausaf
On Tue, May 20, 2014 at 8:25 PM, Harms, Michael 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 maps what w
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