We describe a novel graph analysis that includes a multigraph with multiple edges between a pair of nodes to model brain functional networks, and introduce a three-way correlation between BOLD signals from a pair of gray matter volumes (nodes) and one white matter bundle to define functional connectivity. Characteristics of inter-nodal communication may be derived from this analysis. By examining selected databases, we show inter-nodal communications vary with ages. By integrating fMRI signals from white matter as a third component in network analysis, more comprehensive descriptions of brain function may be obtained.
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