A phenomenological model of seizure initiation suggests network structure may explain seizure frequency in idiopathic generalised epilepsy

DOI10.1186/2190-8567-2-1zbMath1291.92022OpenAlexW2116925697WikidataQ41879043 ScholiaQ41879043MaRDI QIDQ2251495

Krasimira Tsaneva-Atanasova, Peter Ashwin, Mark P. Richardson, Oscar Benjamin, Thomas H. B. Fitzgerald, Fahmida N. Chowdhury, John R. Terry

Publication date: 14 July 2014

Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2190-8567-2-1

Mathematics Subject Classification ID

Neural biology (92C20) Decentralized systems (93A14) Ordinary differential equations and systems with randomness (34F05)

Related Items

Control of continuous dynamical systems modeling physiological states, Mathematical frameworks for oscillatory network dynamics in neuroscience, Bottom-up approach to torus bifurcation in neuron models, Standing and travelling waves in a spherical brain model: the Nunez model revisited, Role of hierarchical heterogeneity in shaping seizure onset dynamics: insights from structurally-based whole-brain dynamical network models, Sequential Noise-Induced Escapes for Oscillatory Network Dynamics, Evolving Network Model That Almost Regenerates Epileptic Data, Mechanisms of intermittent state transitions in a coupled heterogeneous oscillator model of epilepsy, Identifying influential nodes in a network model of epilepsy, Sequential Escapes and Synchrony Breaking for Networks of Bistable Oscillatory Nodes

Cites Work

• Bifurcation Analysis of Jansen's Neural Mass Model
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