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I'm a neuroscientist studying genetic drivers and behavioral targets of resting-state brain networks. I'm looking for help computing network parameters from resting-state functional connectivity MRI data, with the aim of using those parameters as variables in regression analyses with gene and behavior data.
Currently I have correlation matrices containing a row for every subject with columns of node-to-node correlation values, or strength of functional connectivity, representing weighted edges (see link). I would like to use this file to visualize and compute such parameters as degree, density, betweenness centrality, closeness, etc. Could anyone help me transform such a file into one usable for Gephi or another program to visualize and compute network properties for multiple subjects in one step or relatively efficiently? Alternative strategies/ideas also also welcome.
Thanks so much in advance.
Kevin Bickart, MD/PhD
Anatomy & Neurobiology
Medicine intern, CPMC 2015-16
Neurology resident, Stanford 2016-19