Dense files have independent values for every vertex and voxel that is used. What you are describing (one value per ROI) is a parcellated file, such as pscalar. To use them, first make your ROIs into a dlabel file (give each ROI a separate integer value, and then use wb_command -cifti-label-import), then use -cifti-parcellate on any same-resolution dscalar file to get a pscalar file, and then you can use wb_command -cifti-convert -from-text to turn a text file of numbers into the pscalar equivalent. These files will display as expected on the surface and in the volume, and can additionally be shown in the chart view.
If you actually want a dense file where the values of all the vertices of an ROI are stored separately as floating point, but all have the same value, you should probably use matlab to do that. We don't typically generate files like this. Tim On Mon, May 13, 2019 at 11:42 AM Franzmeier, Nicolai Dr. < nicolai.franzme...@med.uni-muenchen.de> wrote: > To whom it may concern, > I have a brief question about creating new dscalar files based on a given > brain parcellation for visualization with the connectome workbench. > I want to use the attached dscalar template (covering 200 ROIs in total), > and replace the existing ROI intensities with a new 200-element numeric > vector. > I was going through the online documentation but couldn’t find a solution. > Could you help? > Thanks in advance and best wishes! > Nico > > _______________________________________________ > HCP-Users mailing list > HCP-Users@humanconnectome.org > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
