You can use wb_command -cifti-parcellate with a parcellation: https://balsa.wustl.edu/file/show/3VLx
You are using the recommended dtseries. Peace, Matt. On 1/10/17, 11:50 PM, "[email protected] on behalf of Govinda Surampudi" <[email protected] on behalf of [email protected]> wrote: >Hi all, > >I wanted to create Functional connectivity matrix from resting state fMRI >time series. I used >'./rfMRI_REST1_LR_Atlas_MSMAll_hp2000_clean.dtseries.nii' file to do so, >but MATLAB could not create the correlation matrix as its size was ~69GB. >Therefore I think there is need for some way cluster the voxels into >parcellations in order to reduce the size of the correlation matrix. > >I found out from HCP_FAQs ( >https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ#HCPUsers >FAQ-3.IseethatHCPdistributesgroupaveragedenseconnectomefiles.Doyoualsoprov >ideconnectivitymatricesforindividualsubjects? ) that already parcellated >time series files (*.ptseries.nii) are available in the dataset. Could >anyone help me me finding the parcellated cifti files in HCP-900 dataset >or a workaround to the same? > >Moreover, am I using the correct dtseries file out of the other >alternatives? >And, which series should I go with for task fMRI data? > >Regards & Thanks, >Govinda >_______________________________________________ >HCP-Users mailing list >[email protected] >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. _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
