Hi,

After generating dense connectivity maps (*.dconn.nii files) from the HCP DWI 
data, we would like to use previous parcellations (e.g. Desikan-Killiany) to 
assess the reproducibility across subjects. As the grayordinates vertices are 
assumed to be anatomically-matched across subjects, then there should be a 
single lookup table to convert from HCP grayordinates to a given parcellation, 
correct?

If so, does anyone have this as a simple table?

If not, what is the easiest way to generate it?

I realise that I can print out a (apparently zero-based) lookup table of 
Label_IDs and Label_Names by doing:

wb_command -file–information 
100307/MNINonLinear/fsaverage_LR32k/100307.aparc.a2009s.32k_fs_LR.dlabel.nii

Which produces:
Name:                    100307.aparc.a2009s.32k_fs_LR.dlabel.nii
Type:                    Connectivity - Dense Label
Structure:               CortexLeft CortexRight
Data Size:               237.65 Kilobytes
Maps to Surface:         true
Maps to Volume:          false
Maps with LabelTable:    true
Maps with Palette:       false
Number of Maps:          1
Number of Rows:          59412
Number of Columns:       1
Volume Dim[0]:           0
Volume Dim[1]:           0
Volume Dim[2]:           0
Palette Type:            None
CIFTI Dim[0]:            1
CIFTI Dim[1]:            59412
ALONG_ROW map type:      LABELS
ALONG_COLUMN map type:   BRAIN_MODELS
    Has Volume Data:     false
    CortexLeft:          29696 out of 32492 vertices
    CortexRight:         29716 out of 32492 vertices

Map   Map Name
  1   100307_aparc.a2009s

Label table for ALL maps
       KEY   NAME                            RED   GREEN    BLUE   ALPHA
         0   ???                           0.000   0.000   0.000   0.000
         1   L_G_and_S_frontomargin        0.090   0.863   0.235   1.000
         2   L_G_and_S_occipital_inf       0.090   0.235   0.706   1.000
         3   L_G_and_S_paracentral         0.247   0.392   0.235   1.000
…
       147   R_S_subparietal               0.396   0.235   0.235   1.000
       148   R_S_temporal_inf              0.082   0.706   0.706   1.000
       149   R_S_temporal_sup              0.875   0.863   0.235   1.000
       150   R_S_temporal_transverse       0.867   0.235   0.235   1.000

 Also, the following command:

 wb_command -nifti-information -print-matrix 
100307/MNINonLinear/fsaverage_LR32k/100307.aparc.a2009s.32k_fs_LR.dlabel.nii

 produces the Label_ID : Vertex_Number mapping (again apparently zero-based):

Row 0: 72
Row 1: 27
Row 2: 29
Row 3: 16
Row 4: 59
Row 5: 26
…
Row 59407: 113
Row 59408: 113
Row 59409: 113
Row 59410: 113
Row 59411: 113

Is this the correct data to use to create a (label_name : vertex_number) lookup 
table?

Cheers,

M@
--
Matthew George Liptrot

<http://about.me/matthewliptrot>
Department of Computer Science
University of Copenhagen
&
Section for Cognitive Systems
Department of Applied Mathematics and Computer Science
Technical University of Denmark

http://about.me/matthewliptrot


<http://about.me/matthewliptrot>


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