paulcbogdan / nichord Goto Github PK

Hello,

I've been exploring the functionalities of NiChord and find it extremely useful for my research. As I'm preparing to use it to generate figures for my paper, I encountered an issue while using a connectivity matrix to generate edges for plot_glassbrain.

Currently, when using a connectivity matrix, I find that the resulting glass brain visualization contains too many edges, making it difficult to interpret. It would be very helpful if a parameter similar to edge_threshold in nilearn.plotting.plot_connectome could be introduced to filter the edges by their weight.

This would enable users to control the density of the edges in the glass brain, making the visualization more comprehensible and suitable for publication.

Thank you for considering this enhancement.

Hi there!your tool seems very nice! do you have a dataset as an example to start with? I am struggling a little to run the example

Hi - I am trying to use your package to plot connectome matrix and it worked great. I also wanted to plot a chord diagram of network connectivity with one node per network. It didn't plot the within-network (self-connecting) edges. I wonder if there is a way to visualize it.
Thanks,
Oliver

Hello, It was a real pleasure working with this tool, I just have one question, how can we adjust it to use another atlas for labeling, I have done my analysis with the FSL Harvard Oxford (164 region), and I want to use the same atlas for labeling, could you please guide me through this?