Graph Curvature Toolbox

Network Curvature as a Hallmark of Brain Structural Connectivity

Network curvature quantifies the importance of cortical/ subcortical areas (nodes) in brain networks, that is, how their disruption leads to large changes in the overall graph properties. Curvature can help identify important areas and points to changes in the brain network structure that may be attributed to age or diseases. The close relation between curvature and network robustness highlights the significance of the detected nodes in supporting robust brain functions. A MATLAB implementation to compute nodal curvature for undirected weighted graphs is provided below.

Citation

If you publish or present results obtained using the software or sequences in this package, please acknowledge the researchers who developed the sequences using the following language:

Available online

Farooq H, et al. Network curvature as a hallmark of brain structural connectivity. Nat Commun. 2019; 10:4937. doi: 10.1038/s41467-019-12915-x

Contact

If you have noticed a bug or have a request for a new feature in a future release, please contact Hamza Farooq. Be sure to include the sequence variant and the model of scanner you are using in the problem description.

Download

Version 1


References

  1. Farooq H, et al. Network curvature as a hallmark of brain structural connectivity. Nat Commun. 2019; 10:4937. doi: 10.1038/s41467-019-12915-x
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