Organization of excitable dynamics in hierarchical biological networks.
This study investigates the contributions of network topology features to the dynamic behavior of hierarchically organized excitable networks. Representatives of different types of hierarchical networks as well as two biological neural networks are explored with a three-state model of node activation for systematically varying levels of random background network stimulation. The results demonstrate that two principal topological aspects of hierarchical networks, node centrality and network modularity, correlate with the network activity patterns at different levels of spontaneous network activation. The approach also shows that the dynamic behavior of the cerebral cortical systems network in the cat is dominated by the network's modular organization, while the activation behavior of the cellular neuronal network of Caenorhabditis elegans is strongly influenced by hub nodes. These findings indicate the interaction of multiple topological features and dynamic states in the function of complex biological networks.
Müller-Linow
Mark
M
Department of Biology, Bioinformatics Group, Darmstadt University of Technology, Darmstadt, Germany. mamuelow@web.de
Hilgetag
Claus C
CC
Hütt
Marc-Thorsten
MT
D000818:Animals; D017173:Caenorhabditis elegans / Q000502:physiology; D002415:Cats; D019295:Computational Biology; D003196:Computer Graphics; D003198:Computer Simulation; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer