wb_command -cifti-parcellate is indeed the first step.  The next step you could load the resulting .ptseries.nii file into matlab or use wb_command -nifti-information with the -print-matrix option to output the terminal window, which you could redirect to a text file.  I don’t know if this is in the released version yet, but the development version has the ability to use wb_command -cifti-convert to convert the file -to-text.

Peace,

Matt.

From: <Nomi>, Jason <[email protected]>
Date: Sunday, April 26, 2015 at 3:53 PM
To: "[email protected]" <[email protected]>
Subject: [HCP-Users] Creating a parcellated connectome from a label file

Dear Experts,


I am trying to create a parcellated connectome from a label file based off of the Gordon et al., 2014 (Cerebral Cortex) paper.  They have provided a dlabel.nii file consisting of 333 parcels in both the left (162 parcels) and right (172 parcels) hemispheres (http://www.nil.wustl.edu/labs/petersen/Resources.html).


Eventually, I would like to acquire the time series for subcortical and cerebellar areas for a whole brain parcellated connectome, but this would be the first step.  


I would like to get a series of text files (or even better: a single text file with each parcel/ROI as a single column) for each subject based off of the label file provided by Gordon et al. 


I am not sure exactly what to do here.  I have been reading through the posts on the forum and assume I might perhaps start with the -cifti-parcellate command:


wb_command -cifti-parcellate <s_001_dtseries.nii> <gordon_LR.dlabel.nii> COLUMN <output.nii>


I assume (hope?) the output file contains the average time series for each parcel as defined from the gordon_LR.dlabel.nii file??


However, I am unsure how I would acquire the time series information in text file form from this output file.  


Am I even in the right ballpark here??


Any help would be appreciated as I have not worked with surface data yet.


Thanks in advance!


best,

Jason





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