Differences in the critical dynamics underlying the human and fruit-fly connectome
Differences in the critical dynamics underlying the human and fruit-fly connectome
Ódor, G.; Deco, G.; Kelling, J.
Previous simulation studies on human connectomes suggested that critical dynamics emerge subcritically in the so-called Griffiths phases. Now we investigate this on the largest available brain network, the 21662 node fruit-fly connectome, using the Kuramoto synchronization model. As this graph is less heterogeneous, lacking modular structure and exhibiting high topological dimension, we expect a difference from the previous results. Indeed, the synchronization transition is mean-field-like, and the width of the transition region is larger than in random graphs, but much smaller than as for the KKI-18 human connectome. This demonstrates the effect of modular structure and dimension on the dynamics, providing a basis for better understanding the complex critical dynamics of humans.
Keywords: Critical phenomena; Dynamical phase transitions; Neuronal dynamics; Neuronal network activity; Nonequilibrium statistical mechanics; Synchronization transition
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Physical Review Research 4(2022), 023057
Online First (2022) DOI: 10.1103/PhysRevResearch.4.023057
Cited 4 times in Scopus -
Contribution to WWW
arXiv:2201.11084 [q-bio.NC]: https://arxiv.org/abs/2201.11084
DOI: 10.48550/arXiv.2201.11084
Permalink: https://www.hzdr.de/publications/Publ-34568