Hi,
*Background:* Regarding the labels file, “RSN-networks.32k_fs_LR.dlabel.nii” which I thought should contain the 7 and 17 network parcellation, this file has a matrix of size 64984×4. What do the numbers in the 4 columns represent (ie. 1st column has a max of 44 and 4th column a max of 26). I was expecting a single column that took values from 1 to 17 or 1 to 7 mapping each vertex to its grouping in the functional networks. *Question:* How should I understand these 4 columns and their connection to functional network parcellation? Thank you, David Hartman On Fri, Jul 14, 2017 at 2:27 PM, David Hartman <dhartman1...@gmail.com> wrote: > Hi, > > > > *Background:* > > Regarding the parcellation of the cortex into functional networks (“The > organization of the human cerebral cortex estimated by intrinsic functional > connectivity,” Yeo et al.) Yeo breaks up the cortex into 7 networks. > However, his cortical data has 163842 vertices, while the HCP data only has > 59412 vertices. > > > > *Question:* > > I am looking to map the HCP data into these 7 networks, but I don’t see a > way to get the data into the same format as Yeo’s data (ie. 163842 > vertices) to use his mapping. > > 1. Does anyone know of a way to convert HCP data into the same format as > Yeo’s 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-users
