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 -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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>>>>
>>>>
>>>>  ------------------------------
>>>>
>>>> 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,
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>>>> of this information is strictly prohibited. If you have received this email
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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
>>>
>>> _______________________________________________
>>> 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>
>>>
>>>
>>>
>>>
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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.
>>
>
>


-- 
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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