{"version":"1.0","type":"rich","title":"Gist 1e296721b61bae725016","description":"This visualization displays functional connectivity between brain regions as a circular node-link diagram, with edges colored by PLS regression coefficients relating resting-state fMRI correlations to disability scores (EDSS) in multiple sclerosis patients. The code converts correlation values to z-scores via Fisher transform, then applies PLSRegression to extract predictive components. Using MNE-Python’s `circular_layout` and `plot_connectivity_circle`, it arranges region names around a ring, styles nodes with seaborn color palettes, and encodes edge weights through a custom colormap with a colorbar. The underlying data is loaded from a CSV of freesurfer parcellations and connectivity metrics.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-1e296721b61bae725016?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}