Spreading dynamics on spatially constrained complex brain networks

O'DEA, R., CROFTS, J.J. and KAISER, M., 2013. Spreading dynamics on spatially constrained complex brain networks. Journal of the Royal Society Interface, 10 (81). ISSN 1742-5689

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Abstract

The study of dynamical systems defined on complex networks provides a natural framework with which to investigate myriad features of neural dynamics and has been widely undertaken. Typically, however, networks employed in theoretical studies bear little relation to the spatial embedding or connectivity of the neural networks that they attempt to replicate. Here, we employ detailed neuroimaging data to define a network whose spatial embedding represents accurately the folded structure of the cortical surface of a rat brain and investigate the propagation of activity over this network under simple spreading and connectivity rules. By comparison with standard network models with the same coarse statistics, we show that the cortical geometry influences profoundly the speed of propagation of activation through the network. Our conclusions are of high relevance to the theoretical modelling of epileptic seizure events and indicate that such studies which omit physiological network structure risk simplifying the dynamics in a potentially significant way.

Item Type: Journal article
Publication Title: Journal of the Royal Society Interface
Creators: O'Dea, R., Crofts, J.J. and Kaiser, M.
Publisher: The Royal Society
Place of Publication: London
Date: 2013
Volume: 10
Number: 81
ISSN: 1742-5689
Identifiers:
NumberType
10.1098/rsif.2013.0016DOI
Rights: Copyright © The Royal Society 2013
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:14
Last Modified: 23 Aug 2016 09:08
URI: http://irep.ntu.ac.uk/id/eprint/9928

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