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dc.contributor.authorSteyn-Ross, Moira L.
dc.contributor.authorSteyn-Ross, D. Alistair
dc.contributor.authorWilson, Marcus T.
dc.contributor.authorSleigh, James W.
dc.coverage.spatialUnited Statesen_NZ
dc.date.accessioned2008-11-21T00:13:25Z
dc.date.available2008-11-21T00:13:25Z
dc.date.issued2007
dc.identifier.citationSteyn-Ross, M. L., Steyn-Ross, D. A., Wilson, M. T. & Sleigh, J. W. (2007). Gap junctions mediate large-scale Turing structures in a mean-field cortex driven by subcortical noise. Physical Review E, 76, 011916.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1436
dc.description.abstractOne of the grand puzzles in neuroscience is establishing the link between cognition and the disparate patterns of spontaneous and task-induced brain activity that can be measured clinically using a wide range of detection modalities such as scalp electrodes and imaging tomography. High-level brain function is not a single-neuron property, yet emerges as a cooperative phenomenon of multiply-interacting populations of neurons. Therefore a fruitful modeling approach is to picture the cerebral cortex as a continuum characterized by parameters that have been averaged over a small volume of cortical tissue. Such mean-field cortical models have been used to investigate gross patterns of brain behavior such as anesthesia, the cycles of natural sleep, memory and erasure in slow-wave sleep, and epilepsy. There is persuasive and accumulating evidence that direct gap-junction connections between inhibitory neurons promote synchronous oscillatory behavior both locally and across distances of some centimeters, but, to date, continuum models have ignored gap-junction connectivity. In this paper we employ simple mean-field arguments to derive an expression for D2, the diffusive coupling strength arising from gap-junction connections between inhibitory neurons. Using recent neurophysiological measurements reported by Fukuda et al. [J. Neurosci. 26, 3434 (2006)], we estimate an upper limit of D2 0.6 cm2. We apply a linear stability analysis to a standard mean-field cortical model, augmented with gap-junction diffusion, and find this value for the diffusive coupling strength to be close to the critical value required to destabilize the homogeneous steady state. Computer simulations demonstrate that larger values of D2 cause the noise-driven model cortex to spontaneously crystalize into random mazelike Turing structures: centimeter-scale spatial patterns in which regions of high-firing activity are intermixed with regions of low-firing activity. These structures are consistent with the spatial variations in brain activity patterns detected with the BOLD (blood oxygen–level–dependent) signal detected with magnetic resonance imaging, and may provide a natural substrate for synchronous gamma-band rhythms observed across separated EEG (electroencephalogram) electrodes.en_US
dc.language.isoen
dc.publisherAmerican Physical Society: doi:10.1103/PhysRevE.76.011916en_NZ
dc.subjectelectroencephalogramen_US
dc.subjectBOLDen_US
dc.titleGap junctions mediate large-scale Turing structures in a mean-field cortex driven by subcortical noiseen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1103/PhysRevE.76.011916en_US
dc.relation.isPartOfPhysical Review E (Statistical, Nonlinear, and Soft Matter Physics)en_NZ
pubs.begin-page1en_NZ
pubs.elements-id32990
pubs.end-page16en_NZ
pubs.issue1en_NZ
pubs.volume76en_NZ
uow.identifier.article-noARTN 011916en_NZ


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