> use this approach:
>> >>
>> >> wb_command -cifti-create-label
>> >>
>> >> ${StudyFolder}/${Subject}/MNINonLinear/fsaverage_LR32k/${Subject}.L.aparc.a2009s.32k_fs_LR.dlabel.nii
>> >> -left-label
>> >>
>> >&g
t; ${StudyFolder}/${Subject}/MNINonLinear/fsaverage_LR32k/${Subject}.R.aparc.a2009s.32k_fs_LR.dlabel.nii
> >> -right-label
> >>
> ${StudyFolder}/${Subject}/MNINonLinear/fsaverage_LR32k/${Subject}.R.aparc.a2009s.32k_fs_LR.label.gii
> >> -roi-right
> >>
> ${StudyFolde
llate the dense timeseries to get
>> average timecourses in each ROI:
>> wb_command -cifti-parcellate COLUMN
>>
>> To get the average ROI timeseries out of the parcellated timeseries file:
>> wb_command -nifti-information -print–matrix
>>
>> The alternative, i
e, if you were more comfortable with GIFTI files would be to
> split the CIFTI file into components:
>
> wb_command -cifti-separate -metric CORTEX_LEFT -metric
> CORTEX_RIGHT , would would produce GIFTI timeseries at which
> point, you could directly use the GIFTI label files.
&g
<glass...@wusm.wustl.edu>
Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
Subject: Re: [HCP-Users] Q3 rfMRI
Hi Matt,
yes I mean homotopic connections.
The individual dense connectivity map in the image you sent is not available from the H
t; Peace,
>
> Matt.
>
> From: basile pinsard
> Date: Wednesday, December 4, 2013 4:24 PM
> To: "hcp-users@humanconnectome.org"
> Subject: [HCP-Users] Q3 rfMRI
>
>Hi all,
>
> trying to process individual rfMRI from HCP, we found unexpected results
