Since calling in MATLAB: “ciftiopen('RSN-networks.32k_fs_LR.dlabel.nii',
'workbench\bin_windows64\wb_command.exe')” gives me a matrix with 4 columns
whose range is beyond the 17 or 7 corresponding to their functional
grouping, I have resorted to using wb-command hoping to get right
labelling.*Question:* Which wb-command should I use to read the labels and see for the 32k mesh which networks the nodes belong to (ie. 1 to 7)? I tried using wb_command -cifti-parcellate rfMRI_REST1_LR_Atlas_MSMAll.dtseries.nii RSN-networks.32k_fs_LR.dlabel.nii COLUMN out.ptseries.nii, 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 <mha...@wustl.edu> wrote: > > Hi, > There are actually 4 different maps in that file. If you load it into > Workbench, the name associated with each map tells you what each map is. > > cheers, > -MH > > -- > Michael Harms, Ph.D. > ----------------------------------------------------------- > Conte Center for the Neuroscience of Mental Disorders > Washington University School of Medicine > Department of Psychiatry, Box 8134 > 660 South Euclid Ave. Tel: 314-747-6173 <(314)%20747-6173> > St. Louis, MO 63110 Email: mha...@wustl.edu > > From: <hcp-users-boun...@humanconnectome.org> on behalf of David Hartman < > dhartman1...@gmail.com> > Date: Monday, July 17, 2017 at 12:21 PM > To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org> > Subject: Re: [HCP-Users] mapping HCP data into 7 functional networks > (using Thomas Yeo parcellation) > > 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 > > > ------------------------------ > > 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 HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
