Gist cd42289402eda15e23c7

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Gist cd42289402eda15e23c7

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Last edited Oct 21, 2014

Created on Oct 21, 2014

This visualization shows correlations between brain regions from resting-state fMRI data, focusing on subcortical and cortical areas implicated in Parkinson’s disease. It displays pairwise connectivity values as a correlation matrix, computed from FreeSurfer parcellation time series. The code uses Python with pandas for data handling, seaborn for statistical plotting, and matplotlib’s inline mode for rendering. It also employs itertools to generate all region pairs, and NumPy’s genfromtxt for reading the input files, with clinical follow-up data integrated by visit type.

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