Hi Mike,

subj_rh_ico.1D.dset should overlay in a similar manner on subj_rh_ico_141_std.pial.asc from the subj for which it was derived and on another subject's subj_rh_ico_141_std.pial.asc .

Similar here is meant to signify within the variance of the warping process. They will be similar to the degree in which the alignment made the meshes similar.

Another thing you could do is open std surface meshes from different subjects in the same SUMA session and check the degree to which node 'i' refers to the same anatomical location on all surface (again, with variance of warping). One way to do this, is to create a .1D.dset file that goes from 0 to N_Nodes -1 and load it as a dataset on all the surfaces. The color patterns should be similar across subjects. See 'Figure 14:' here: [afni.nimh.nih.gov]

For the pal file you showed me, you need to use:
ScaleToMap -cmapdb multi_rh.pal -showmap -cmap multi_ccw_neg_n16

The same .pal file can contain multiple colormaps.

The output of the ScaleToMap command can be used to create a .1D cmapfile that can be loaded directly to SUMA. You can do interactive coloring there instead of creating .col files and loading them for viewing. For the moment you need to cut and paste the rgb values into a .1D.cmap file (for more info: suma then, ctrl+s then click BHelp and click on New ).

In the next version of MakeColorMap and ScaleToMap, you will be able to get a cleaner output for the .show option.

cheers,
ziad


cheers,
ziad