It isn't too hard with -cifti-reduce and -cifti-math (though it does need
-select and -repeat):

wb_command -cifti-reduce <input> MEAN mean.dtseries.nii
wb_command -cifti-reduce <input> STDEV stdev.dtseries.nii
wb_command -cifti-math '(x - mean) / stdev' -fixnan 0 -var x <input> -var
mean mean.dtseries.nii -select 1 1 -repeat -var stdev stdev.dtseries.nii
-select 1 1 -repeat

If there are places with 0 stdev in all concatenated timeseries, the
correlation will probably give back NaNs, which will have to be fixed.

Tim



On Tue, May 20, 2014 at 2:44 PM, Glasser, Matthew
<glass...@wusm.wustl.edu>wrote:

>  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 <tsc...@mst.edu>
> Date: Tuesday, May 20, 2014 at 12:19 PM
> To: Stephen Smith <st...@fmrib.ox.ac.uk>
> Cc: Ausaf Bari <aus...@gmail.com>, "hcp-users@humanconnectome.org" <
> hcp-users@humanconnectome.org>
>
> Subject: Re: [HCP-Users] Creating Group Average Resting State fMRI
>
>   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.uk>wrote:
>
>>  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 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 way.
>>
>>  As an alternative could I merge the within subject runs together with
>> -merge and do a within-subject correlation and then average across
>> subjects? Is there any downside to this other than the huge amount of
>> storage space that would be required (32GB per subject)?
>>
>>  -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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>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>
>>>
>>>  ------------------------------
>>>
>>> The materials in this message are private and may contain Protected
>>> Healthcare Information or other information of a sensitive nature. If you
>>> are not the intended recipient, be advised that any unauthorized use,
>>> disclosure, copying or the taking of any action in reliance on the contents
>>> of this information is strictly prohibited. If you have received this email
>>> in error, please immediately notify the sender via telephone or return mail.
>>>
>>
>>
>>
>>  --
>> Ausaf A. Bari MD PhD
>> Resident Physician
>> UCLA Medical Center
>> Department of Neurosurgery
>>
>> Phone: 617-642-1929
>> Email: aus...@gmail.com
>>
>> _______________________________________________
>> HCP-Users mailing list
>> HCP-Users@humanconnectome.org
>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>
>>
>>
>>
>> ---------------------------------------------------------------------------
>> Stephen M. Smith, Professor of Biomedical Engineering
>> Associate Director,  Oxford University FMRIB Centre
>>
>> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
>> +44 (0) 1865 222726  (fax 222717)
>> st...@fmrib.ox.ac.uk    http://www.fmrib.ox.ac.uk/~steve
>>
>> ---------------------------------------------------------------------------
>>
>>  Stop the cultural destruction of Tibet <http://smithinks.net>
>>
>>
>>
>>
>> _______________________________________________
>> HCP-Users mailing list
>> HCP-Users@humanconnectome.org
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>>
>
>  _______________________________________________
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>
>  ------------------------------
>
> The materials in this message are private and may contain Protected
> Healthcare Information or other information of a sensitive nature. If you
> are not the intended recipient, be advised that any unauthorized use,
> disclosure, copying or the taking of any action in reliance on the contents
> of this information is strictly prohibited. If you have received this email
> in error, please immediately notify the sender via telephone or return mail.
>

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