[HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

data to use his mapping or a direct way to map the HCP data to 7 networks? Any help would be much appreciated. Thank you, David Hartman ___ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

Yes it does seem the first of four columns has 8 distinct numbers. As a side note, is there any released HCP resting state data on a 164k mesh or are they all 32k mesh? Thank you, David Hartman On Mon, Jul 17, 2017 at 6:19 PM, Timothy Coalson <tsc...@mst.edu> wrote: > You can get a

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

, but out.ptseries.nii returns a matrix 8×1200. But I am hoping for something 32k×1 for the correct labelling, where each row is a number between 1 and 7 or 17 corresponding to the group the node belongs to. Hope it is not too confusing. Thank you, David Hartman On Mon, Jul 17, 2017 at 3:09 PM, Harms, Michael

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

k you, David Hartman On Mon, Jul 17, 2017 at 7:55 PM, Timothy Coalson <tsc...@mst.edu> wrote: > As Matt says, 32k is used to roughly match the acquisition resolution. > The 7T data at 1.6mm is on a 59k mesh for the same reasons. If you want to > resample them, see the -cifti-resample

Re: [HCP-Users] mapping HCP data into 7 functional networks (using Thomas Yeo parcellation)

he network parcellations or is this something any of the folks at HCP have explored? Thank you, David Hartman On Mon, Jul 17, 2017 at 7:55 PM, Timothy Coalson <tsc...@mst.edu> wrote: > As Matt says, 32k is used to roughly match the acquisition resolution. > The 7T data at 1.6mm is on a