sorry, I still don't understand what the issue is. read_surf will give you the surface geometry/topology, and read_curv will give you the scalar fields to display over them. You can use mri_surf2surf to map them into a common space (the fsaverage surface for example)

cheers Bruce On Thu, 11 Jul 2013, fatma zribi wrote:

Hi Bruce,

I would like to use information about curv and sulc of a population and plot the variance with plot_mesh (variance presented in one brain)

With best regards,

Fatma

2013/7/11 Bruce Fischl fischl@nmr.mgh.harvard.edu Hi Fatma

  I don't understand your question. read_curv returns a scalar
  field over the surface, not the surface itself, which is why it
  is nvertices x 1. Use read_surf to read the surface topology in

  cheers
  Bruce
  On Thu, 11 Jul 2013, fatma zribi wrote:

        Dear Bruce,
        Now i would like to use the function read_curv but I
        have a problem of
        dimension .. curv is a vector of [143704,1] and
        vertices must be a matrix of
        [3, 143704]

        Would you mind help me and send an exemple of the
        use of the function wiht
        the visualisation of the brain

        [curv, fnum] =
        read_curv([SD_atlas.parms.SUBJECTS_DIR '/'
        SD_atlas.parms.SUBJECT '/surf/' SD_atlas.parms.hemi
        '.curv']);

        white_sbjMesh.vertices = curv';
         white_sbjMesh.faces=(fnum+1)';

         SD_white_remeshed{j}.vertices =
        MARS_linearInterpolate(max_mesh.vertices,
        SD_sphere_sbjMesh,  white_sbjMesh.vertices);

        SD_avg_mesh.vertices =
        SD_avg_mesh.vertices+SD_white_remeshed{j}.vertices;

        Thank you very much for your help

        with best regards,

        Fatma

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