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Graph Metrics

AK Amirali Kazeminejad
RS Roberto C. Sotero
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Graph theoretical analysis was performed on the extracted brain graph for each subject. The calculated graph properties consisted of measures of segregation (Clustering Coefficient, Transitivity), integration (Characteristic Path Length, Efficiency), and centrality (Betweenness centrality, within module degree Z-score, Participation coefficient) of the brain network. Formulas for each metric are presented in Table ​TableA1A1 (Rubinov and Sporns, 2010). This resulted in a feature space of 817 variables for each subject. More information on this step is available in the Supplementary Material.

All steps from Graph extraction to this point were done using the openly available MATLAB toolbox GraphVar (Kruschwitz et al., 2015).

Copyright and License information:  ©2019 Kazeminejad and Sotero.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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