{"version":"1.0","type":"rich","title":"Gist f89f4fd152dcae710273","description":"This visualization displays the correlation between resting-state fMRI time series across selected brain regions, represented as a matrix of pairwise connectivity values. It computes Pearson correlations from parcellated signal data, then organizes the resulting edge strengths into a tabular format per subject. The code uses pandas for data manipulation, numpy for numerical operations, and seaborn for potential statistical plotting, with region names drawn from FreeSurfer cortical and subcortical parcellations.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-f89f4fd152dcae710273?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}