Ok, but is it possible then to use another NIFTI parcellation, for
instance, a functional parcellation, with the CIFTI fMRI data? Or, since
the subcortical regions are already defined in the CIFTI file, is not
possible to re-define these ROI?

Thank you again,

Vicente

On 29 October 2016 at 22:07, Glasser, Matthew <glass...@wustl.edu> wrote:

> The AAL parcellation is not thought of as a particularly accurate
> functional parcellation of the brain.  There is a nice parcellation
> available here:
>
> https://balsa.wustl.edu/study/show/RVVG
>
> Peace,
>
> Matt.
>
> From: "PALLARES PICAZO, VICENTE" <vicente.palla...@upf.edu>
> Date: Saturday, October 29, 2016 at 6:09 AM
> To: Matt Glasser <glass...@wustl.edu>
> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
> Subject: Re: [HCP-Users] Extracting time series in grayordinates from any
> brain parcellation
>
> Thank you for the prompt reply. We are interested in whole-brain
> parcellations, in particular we would like to extract the averaged time
> courses according to the AAL parcellation (Tzourio-Mazoyer et. al, 2002),
> so it would include both cortical and subcortical regions.
>
> Best,
> Vicente
>
> On 28 October 2016 at 23:22, Glasser, Matthew <glass...@wustl.edu> wrote:
>
>> What kind of a NIFTI parcellation is this?  Subcortical?
>>
>> Peace,
>>
>> Matt.
>>
>> From: <hcp-users-boun...@humanconnectome.org> on behalf of "PALLARES
>> PICAZO, VICENTE" <vicente.palla...@upf.edu>
>> Date: Friday, October 28, 2016 at 10:12 AM
>> To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>> Subject: [HCP-Users] Extracting time series in grayordinates from any
>> brain parcellation
>>
>> Dear HCP data users,
>>
>> We would like to use the fantastic resting state fMRI data set from the
>> HCP :)
>>
>> We are interested in extracting the time series from the minimal
>> preprocessing resting fMRI data to later perform our own analysis.
>>
>> After checking the available information, it seems that the most
>> appropriate way to extract the average signal in each region of interest is
>> to use the *cifti-parcellate* command.
>>
>> In the help section we have seen that the cifti-parcellate command has
>> four arguments:
>>
>> wb_command -cifti-parcellate
>>
>> <cifti-in> - the cifti file to parcellate
>>
>> <cifti-label> - a cifti label file to use for the parcellation
>>
>> <direction> - which mapping to parcellate (integer, ROW, or COLUMN)
>>
>> <cifti-out> - output - output cifti file
>>
>>
>> Our questions are:
>>
>> 1) For the <cifti-label> argument, how can we transform our nifti
>> parcellation atlas into a cifti label file for both cortical and
>> subcortical areas?
>>
>> We have seen that there is a *wb_command -cifti-create-label* command,
>> but we are worried that for example our hippocampus label is different from
>> the hippocampus label in cifti… So, is there any way to transform our nifti
>> atlas into cifti without using the already determined CIFTI structures?
>>
>> 2)For the for <cifti in> argument, we use the file  “
>> *rfMRI_REST1_LR_Atlas_hp2000_clean.dtseries.nii*”
>>
>> from the folder
>> *100307_3T_rfMRI_REST1_fixextended\100307\MNINonLinear\Results\rfMRI_REST1_LR*
>> . Is that correct?
>>
>> Thanks in advance for your help,
>>
>> Vicente and Ana
>>
>> _______________________________________________
>> HCP-Users mailing list
>> HCP-Users@humanconnectome.org
>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>
>>
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