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Spreading dynamics on spatially constrained complex brain networks

O'Dea, Reuben D.; Crofts, Jonathan J.; Kaiser, Marcus

Authors

Reuben D. O'Dea reuben.odea@nottingham.ac.uk

Jonathan J. Crofts

Marcus Kaiser

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 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 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.

Journal Article Type Article
Publication Date Apr 6, 2013
Journal Interface
Electronic ISSN 1742-5689
Publisher Royal Society, The
Peer Reviewed Peer Reviewed
Volume 10
Issue 81
Institution Citation O'Dea, R. D., Crofts, J. J., & Kaiser, M. (2013). Spreading dynamics on spatially constrained complex brain networks. Interface, 10(81), doi:10.1098/​rsif.2013.0016
DOI https://doi.org/10.1098/%E2%80%8Brsif.2013.0016
Publisher URL http://classic.rsif.royalsocietypublishing.org/content/10/81/20130016
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf




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