On the nature of seizure dynamics.

By Viktor Jirsa, William C. Stacey, Pascale P. Quilichini, A. Ivanov, Christophe Bernard. Brain : a journal of neurology, 2014

759 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/6add4a09118d6c8a587206d8a0c363e6a2ca7740

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “, 2011, 2014a,b; Daffertshofer and van Wijk, 2011), the classic Jansen–Rit model (Jansen and Rit, 1995), two variants of the Epileptor (Jirsa et al., 2014; Proix, 2014); and the Stefanescu–Jirsa 2D (Stefanescu and Jirsa, 2008).”
Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, background): “at express the corresponding nested bifurcations - represents a comprehensive integration of slow and fast time scales underlying criticality and bifurcations in seizure activity (Jirsa et al., 2017; Jirsa et al., 2014). Criticality in the brain Cocchi et al. 26 26 6.2. Crackling noise and neonatal ”
Dynamic models of large-scale brain activity (2017, methodology): “Again, this observation is supported by NMMs 94,95 and NFMs 18 , which predict that a bifurcation in the underlying large-scale cortical 96 and corticothalamic 11 dynamics yields primary generalized seizures.”
The Virtual Epileptic Patient: Individualized whole‐brain models of epilepsy spread (2017, methodology): “In epilepsy, the Epileptor is a neural mass model that has been derived purely based on mathematical reasoning.”
Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks (2024, methodology): “In the present context, the neuronal model used at each node of the network is either the full Epileptor with 5 state variables (5D) in its original implementation ( V. K. Jirsa et al., 2014) or its two-dimensional (2D) reduction ( Proix et al., 2014).”