Graph Analysis of Brain Networks - Measures and Tools
1. Graph Analysis of Brain
Networks—Measures and
Tools
Speaker : Jimmy Lu
Advisor : Hsing Mei
Web Computing Laboratory(WECO Lab)
Computer Science and Information Engineering Department
Fu Jen Catholic University
2. Steps of Graph Analysis
Define the network nodes. (EEG, MEG, MRI, DTI,
etc.)
Estimate a continuous measure of association
between nodes
Generate an association matrix, a binary adjacency
matrix or undirected graph.
Calculate the network parameters of interest in
this graphical model of a brain network
WECO Lab, CSIE dept., FJU
2010/6/2 2
http://www.weco.net
3. Steps of generate structural and functional brain networks
WECO Lab, CSIE dept., FJU
2010/6/2 3
http://www.weco.net
4. Computational modeling of structural and functional brain netowrks
WECO Lab, CSIE dept., FJU
2010/6/2 4
http://www.weco.net
8. Construction of brain networks
WECO Lab, CSIE dept., FJU
2010/6/2 8
http://www.weco.net
9. Graph analysis tools
Brain connectivity toolbox (BCT)
A toolbox of Matlab
Contributor: Olaf Sporns, Mikail Rubinov, Rolf Kotter,
Patric Hagmann
Define functions for analyzing complex graph (ex:
degree, shortest path, etc.)
The functions are the collection of many research
results
The web site also provide some useful information. (ex:
connectivity datasets, tools for visualization, etc.)
Open source. We can define our own measures.
WECO Lab, CSIE dept., FJU
2010/6/2 9
http://www.weco.net