Network Analysis of high and low activity EEG electrodes

[ashenfernando1]

Hey guys,

The book I've been going over is titled in 'Complex Networks Analysis in Python' in O'Reilly

https://learning.oreilly.com/library/view/complex-network-analysis/9781680505399/

Very light read and I'm reading through it myself, but we're particularly interested in the analysis of high and low activity EEG electrodes using networkx.

As a crude, zero order implementation, the network to analyze can be produced by printing out the 'he_alpha_edges' and 'le_alpha_edges' from dashboard_f22.py, which would provide the 'source', and 'target' electrode and 'weight' between each connection, which is simply a count of how many times those electrodes featured in the three highest or lowest activity for each epoch.

"Explore the network" section under 1. (The art of seeing networks) -> Part 1 (Elementary networks and tools) -> 4. Intrdoucing Gephi has a table of metrics that may be useful to us.