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| Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. Its recent application to the study of functional brain networks generated great enthusiasm as it allows addressing an entirely new set of experimental questions. However, complex network theory's potential in functional neuroimaging is still under-exploited. At the same time, despite a high degree of generality, the theory was originally designed to describe systems profoundly different from the brain. Occasionally its wholesale application to neuroimaging turns out to be problematic. Furthermore, in its current form it does not adequately describe key aspects of brain activity. Neuroimaging will advance insofar as it will be able to promote parallel advances in network theory. |
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