I am trying to build a custom made application in Python that only has one function: Given some input samples for some number of brain parts, then based on calculating correlation (Only used Cross-Correlation up to now and I used it in drawing graphs) and manually based on some threshold for the correlation, for every sample, between every two parts, I checked the correlation and drew edges.

In BrainNet-Viewer, I heard there is similar function of drawing edges between selected parts based on Inputs. Can anyone explain how that works and on what basis, drawing edges is done (like in my case calculating correlation) ?? Thank you :)

Please Respond.