Assignments of CAB-NP ROI numbers to grayordinate indices

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Summary of what happened:

The correspondence of CAB-NP ROI numbers to grayordinate indices is unclear in my coding.
(Now, about only surface is all to know; CAB-NP 1~360)

To know that, I got CAB-NP label files from

and visualized labels, but it doesn’t seems to assigned with grayordinate numbers as below.

How should we get the correct assignments ?

Command used (and if a helper script was used, a link to the helper script or the command generated):

import numpy as np
import nibabel as nib

label = np.squeeze(nib.load('CortexSubcortex_ColeAnticevic_NetPartition_wSubcorGSR_parcels_LR_ReorderedByNetworks.dlabel.nii').get_fdata()).astype(int)
print(label[:100])

# output
 548 162 362 364  76 418 408  89 415 169 571 547 547 547 547 399 399 399
 399 399 547 547 547 547 547 547 547 547 546 546 546 546 546 546 546 544
 544 544 544 544 544 544 544 544 544 544 544   2   2   2   2   2   2   1
   1   1   1   1   1   1   1   1   1   1  72  72  72  72  72  89  89  89
  89  89  89  89 568 568 568 567 567 567 567 569 569 569 569 569 569  89
  89  89  89  89 547 547 547 399 399 399

label = np.squeeze(nib.load('Glasser360Indices_LR.dscalar.nii').get_fdata()).astype(int)
print(label[:100])

# output
 35  52  12  26  13 149  85 153 133 102 131  34  34  34  34  14  14  14
  14  14  34  34  34  34  34  34  34  34  33  33  33  33  33  33  33  31
  31  31  31  31  31  31  31  31  31  31  31 121 121 121 121 121 121   1
   1   1   1   1   1   1   1   1   1   1   4   4   4   4   4 153 153 153
 153 153 153 153 120 120 120 119 119 119 119 126 126 126 126 126 126 153
 153 153 153 153  34  34  34  14  14  14

label = np.squeeze(nib.load('CortexSubcortex_ColeAnticevic_NetPartition_wSubcorGSR_parcels_LR_ReorderedByNetworks.dscalar.nii').get_fdata()).astype(int)
print(label[:100])

# output
 548 162 362 364  76 418 408  89 415 169 571 547 547 547 547 399 399 399
 399 399 547 547 547 547 547 547 547 547 546 546 546 546 546 546 546 544
 544 544 544 544 544 544 544 544 544 544 544   2   2   2   2   2   2   1
   1   1   1   1   1   1   1   1   1   1  72  72  72  72  72  89  89  89
  89  89  89  89 568 568 568 567 567 567 567 569 569 569 569 569 569  89
  89  89  89  89 547 547 547 399 399 399

Environment (Docker, Singularity / Apptainer, custom installation):

python 3.13.2
numpy 2.1.3
nibabel 5.3.2