Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity

11438 8 35439 2 78784 document 35439 srep10015.pdf application/pdf 30f0d667e711fee1dbbff9f61bd85ba7 MD5 655479 2016-02-29 11:30:00 https://pure.iiasa.ac.at/id/eprint/11438/1/srep10015.pdf 11438 1 1 application/pdf text en public cc_by

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published 35440 2 78787 document 35440 lightbox.jpg image/png 1591c4f5577fafb48e15615af8fec046 MD5 61809 2016-02-29 11:30:26 https://pure.iiasa.ac.at/id/eprint/11438/2/lightbox.jpg 11438 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/35439 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/35439 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/35439 archive 351 disk0/00/01/14/38 2016-01-15 08:53:15 2021-08-27 17:39:54 2016-01-15 08:53:15 article show Sadilek M. Thurner S. 1918 Physiologically motivated multiplex Kuramoto model describes phase diagram of cortical activity pub iis_mod prog_asa We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that describe neural activity on a network of interconnected cortical regions. This is mathematically possible due to the existence of a unique, stable limit cycle, weak coupling, and inhibitory synaptic time delays. We study the phase diagram of this model numerically as a function of the inter-regional connection strength that is related to cerebral blood flow, and a phase shift parameter that is associated with synaptic GABA cncentrations. We find three macroscopic phases of cortical activity: background activity (unsynchronized oscillations), epileptiform activity (highly synchronized oscillations) and resting-state activity (synchronized clusters/chaotic behaviour). Previous network models could hithero not explain the existence of all three phases. We further observe a shift of the average oscillation frequency towards lower values together with the appearance of coherent slow oscillations at the transition from resting-state to epileptiform activity. This observation is fully in line with experimental data and could explain the influence of GABAergic drugs both on gamma oscillations and epileptic states. Compared to previous models for gamma oscillations and resting-state activity, the multiplex Kuramoto model not only provides a unifying framework, but also has a direct connection to measurable physiological parameters. 2015-05 published NPG 10.1038/srep10015 XJ-15-124 Scientific Reports; 5:10015 (May 2015) [doi:10.1038/srep10015] 307 public Scientific Reports 5 no.10015 10015 TRUE 2045-2322 FALSE info:eu-repo/semantics/article