Seeking advice on visualizing Ji’s network in nilearn

[Guanyunlph]

Thank you for sharing your code!
I am recently analysing hcp data using Glasser’s (2016) atlas with 360 parcells and I would like to use Ji et al.'s (2019) twelve functional network.
A necessary work is for me to visualise Ji’s network, and I followed your code "https://github.com/CoAxLab/cofluctuating-task-connectivity/blob/main/notebooks/05-plot_edge_atlas_circos.ipynb" in nilearn.

I created network_labels，and got the below result
{0: 'Visual1', 1: 'Visual2', 2: 'Somatomotor', 3: 'Cingulo-Opercular', 4: 'Language', 5: 'Default', 6: 'Frontoparietal', 7: 'Auditory', 8: 'Posterior-Multimodal', 9: 'Dorsal-attention', 10: 'Ventral-Multimodal', 11: 'Orbito-Affective'}

Then, I followed the code

shen_rsn_img_4d = []
for ii in rsn_ids:
    node_ixs = shen_rsns[shen_rsns.Network == ii]["Node"]
    temp = np.zeros_like(atlas_img.get_fdata())
    for nix in node_ixs:
        temp[atlas_img.get_fdata()==nix]=1
    shen_rsn_img_4d.append(image.new_img_like(atlas_img, temp))
shen_rsn_img_4d = image.concat_imgs(shen_rsn_img_4d)

node_ixs in my code is the ROI belonging to each network

but, I gote

Are there some suggestions for me to visualise Ji’s network in nilearn? Or even to visualise Ji’s network based on some quantitative values. Thank you!

Glasser, M.F., Coalson, T.S., Robinson, E.C., Hacker, C.D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C.F., Jenkinson, M., Smith, S.M. & Van Essen, D.C. (2016) A multi-modal parcellation of human cerebral cortex. Nature, 536, 171-178.

Ji, J.L., Spronk, M., Kulkarni, K., Repovš, G., Anticevic, A. & Cole, M.W. (2019) Mapping the human brain’s cortical-subcortical functional network organization. NeuroImage, 185, 35-57.