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 maps what we do currently is
> convert the CIFTI copes/varcopes to NIFTI, merge them into a 4D NIFTI file,
> and then use those as inputs to 'flameo' in a mixed effects analysis.  (And
> then convert those outputs back to CIFTI).
>
>  cheers,
> -MH
>
>   --
> Michael Harms, Ph.D.
>  -----------------------------------------------------------
> Conte Center for the Neuroscience of Mental Disorders
> Washington University School of Medicine
> Department of Psychiatry, Box 8134
> 660 South Euclid Ave. Tel: 314-747-6173
> St. Louis, MO  63110 Email: mha...@wustl.edu
>
>   From: Ausaf Bari <aus...@gmail.com>
> Date: Tuesday, May 20, 2014 5:56 PM
> To: Matt Glasser <glass...@wusm.wustl.edu>
>
> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
> Subject: Re: [HCP-Users] Creating Group Average Resting State fMRI
>
>   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 files with a z-statistic
> column?
>
>  -Ausaf
>
>
> On Mon, May 19, 2014 at 10:04 PM, Glasser, Matthew <
> glass...@wusm.wustl.edu> wrote:
>
>>  The simplest way is to concatenate the timeseries with wb_command
>> -cifti-merge.  You could do this for all runs of all subjects, or all runs
>> for each subject (and then z-transform and average the connectomes across
>> subjects).  There will be a better way in the future.
>>
>>  Peace,
>>
>>  Matt.
>>
>>   From: Timothy Coalson <tsc...@mst.edu>
>> Date: Monday, May 19, 2014 at 10:48 PM
>> To: Ausaf Bari <aus...@gmail.com>
>> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>> Subject: Re: [HCP-Users] Creating Group Average Resting State fMRI
>>
>>   Averaging together timepoints does not make sense for resting state
>> data, it does not use stimuli, so there is no temporal correspondence
>> between runs or across subjects.  You should do the correlation before any
>> averaging.
>>
>>  I'm not sure what method our pipelines use, so I'll let someone else
>> respond as to what the recommended method is (you probably don't need to
>> correlate each file by itself, which would use up lots of disk space).
>>
>>  Tim
>>
>>
>>
>> On Mon, May 19, 2014 at 8:22 PM, Ausaf Bari <aus...@gmail.com> wrote:
>>
>>> I am trying to create a resting state fMRI average over 10 subjects to
>>> view in connectome workbench. For each HCP subject, I found the following 4
>>> files:
>>>
>>>  rfMRI_REST1_RL_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST1_LR_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST2_RL_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST2_LR_Atlas_hp2000_clean.dtseries.nii
>>>
>>>  So for 10 subjects, I will have 40 total files. Am I correct to assume
>>> that I can use the command line tool "wb_command -cifti-average" to average
>>> over all 40 files and then "wb_command -cifti-correlation" to create a
>>> dense connectome?
>>>
>>>  -Ausaf
>>>
>>>
>>>  --
>>> Ausaf A. Bari MD PhD
>>> Resident Physician
>>> UCLA Medical Center
>>> Department of Neurosurgery
>>>
>>> Email: aus...@gmail.com
>>>
>>> _______________________________________________
>>> HCP-Users mailing list
>>> HCP-Users@humanconnectome.org
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>
>>
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-- 
Ausaf A. Bari MD PhD
Resident Physician
UCLA Medical Center
Department of Neurosurgery

Phone: 617-642-1929
Email: aus...@gmail.com

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