{"version":"1.0","type":"rich","title":"Gist 64d00f92b66ebdebeffb","description":"This example visualizes functional connectivity between brain regions by computing and displaying Pearson correlation matrices from resting-state fMRI time series. The notebook loads parcellated time-course data for multiple subjects, maps region names from summary statistics files, and uses pandas `DataFrame.corr()` to generate correlation matrices. It then renders the matrices as tabular heatmaps with Matplotlib’s inline plotting, showing pairwise connectivity strengths across cortical and subcortical regions.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-64d00f92b66ebdebeffb?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}