Network Scaling Effects in Graph Analytic Studies of Human Resting-State fMRI Data

@inproceedings{Fornito2010NetworkSE,
  title={Network Scaling Effects in Graph Analytic Studies of Human Resting-State fMRI Data},
  author={Alex Fornito and Andrew Zalesky and Edward T. Bullmore},
  booktitle={Front. Syst. Neurosci.},
  year={2010}
}
Graph analysis has become an increasingly popular tool for characterizing topological properties of brain connectivity networks. Within this approach, the brain is modeled as a graph comprising N nodes connected by M edges. In functional magnetic resonance imaging (fMRI) studies, the nodes typically represent brain regions and the edges some measure of interaction between them. These nodes are commonly defined using a variety of regional parcellation templates, which can vary both in the volume… CONTINUE READING
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