Gist 9614007

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✓ Published0🌍 Public

Last edited Mar 18, 2014

Created on Mar 18, 2014

This visualization demonstrates simulated brain volume (BV) measurements across healthy controls (HC) and multiple sclerosis (MS) patients, generated with a custom Python function. The simulation models two distinct "sites" or protocols, each with its own disease severity distribution (EDSS-like scores) and age-dependent brain volume trends. Parameters include group sizes (50 HC, 250 MS), age ranges, disease severity mixture distributions, and linear relationships between age, disability, and brain volume with added noise. The example includes a plot of the simulated disability scores for both sites, created using matplotlib inline in an IPython notebook. Built with the Vue framework, the visualization highlights how simulated data can be used to explore statistical estimation and model assumptions in neuroimaging studies.

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