Hi everyone! I am trying to plot a graph derived from averaged fmri correlation matrices, by using the code

{

from nilearn import plotting

values = listnet(nx.closeness_centrality, G, distance=‘distance’)

plot = plotting.view_connectome(matrix, node_coords=node_coordinates)

node_sizes = np.array(values) * 100 # Adjust the scaling factor as per your preference

node_colors = values

plot.node_size = node_sizes # Set node size

plot.node_color = node_colors # Set node color

plot.open_in_browser() }; when I get the actual plot the graph with its nodes and edges doesn’t overlap with the brain surface, as you can see from the image.

Anyone knows how to correct this?

Thank you so much!