Dynamic patterns of brain activity evolve on a network of gargantuan
size and complexity. The understanding of these patterns is very relevant for brain diseases as well as for fundamental brain theory. We describe how these networks can be exposed in humans, using functional magnetic
resonance imaging (fMRI) and how to explore its topology and scaling
features. We discuss their generality in the context of recent results on
complex networks and the usefulness of these methods to understand how
the brain works in health and disease.
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