Weight-conserving characterization of complex functional brain networks

@article{Rubinov2011WeightconservingCO,
  title={Weight-conserving characterization of complex functional brain networks},
  author={Mikail Rubinov and Olaf Sporns},
  journal={NeuroImage},
  year={2011},
  volume={56 4},
  pages={2068-79}
}
Complex functional brain networks are large networks of brain regions and functional brain connections. Statistical characterizations of these networks aim to quantify global and local properties of brain activity with a small number of network measures. Important functional network measures include measures of modularity (measures of the goodness with which a network is optimally partitioned into functional subgroups) and measures of centrality (measures of the functional influence of… CONTINUE READING
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