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Using computational models to relate structural and functional brain connectivity
Article first published online: 17 JUL 2012
© 2012 The Authors. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd
European Journal of Neuroscience
Special Issue: INTEGRATING CLINICAL, EXPERIMENTAL AND COMPUTATIONAL NEUROSCIENCE
Volume 36, Issue 2, pages 2137–2145, July 2012
How to Cite
Hlinka, J. and Coombes, S. (2012), Using computational models to relate structural and functional brain connectivity. European Journal of Neuroscience, 36: 2137–2145. doi: 10.1111/j.1460-9568.2012.08081.x
- Issue published online: 17 JUL 2012
- Article first published online: 17 JUL 2012
- Received 16 December 2011, revised 13 February 2012, accepted 16 February 2012
Fig. S1. Agreement between the structural and simulated functional connectivity as measured by the Jaccard similarity coefficient of the connectivity matrices. Left: quantifying functional connectivity by correlation; Right: quantifying functional connectivity by mean phase coherence; Top: cat cortex structural connectivity; Bottom: random structural connectivity. Visualization as in Figure 4 of the article that presents results for macaque structural connectivity matrix.
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