There is growing evidence that global connectivity patterns of functional brain networks fluctuate over time even during resting-state conditions, and many efforts have recently been made to elucidate their characteristics.

In this paper, we demonstrated the extent to which a whole-brain computational model that simulates macro-scale dynamics of neural populations can reproduce the temporal fluctuations that were experimentally observed in empirical connectivity patterns.

“Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity”
Makoto Fukushima and Olaf Sporns
PLOS Computational Biology, vol. 14, no. 9, e1006497, 2018.
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006497