文摘
A novel framework for functional connectivity networks is presented. A metric to analyse the hierarchical complexity of networks is introduced. A functional connectivity null model for complete weighted networks is introduced. The null model attains highest complexity when mimicking EEG phase-lag networks. Key network concepts – integration, regularity, topological randomness – are refined.