Neural mass activity, bifurcations, and epilepsy.

Jonathan Touboul 1, * Fabrice Wendling 2 Patrick Chauvel 3 Olivier Faugeras 1
* Corresponding author
1 NEUROMATHCOMP
CRISAM - Inria Sophia Antipolis - Méditerranée , INRIA Rocquencourt, ENS Paris - École normale supérieure - Paris, UNS - Université Nice Sophia Antipolis, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : In this letter, we propose a general framework for studying neural mass models defined by ordinary differential equations. By studying the bifurcations of the solutions to these equations and their sensitivity to noise, we establish an important relation, similar to a dictionary, between their behaviors and normal and pathological, especially epileptic, cortical patterns of activity. We then apply this framework to the analysis of two models that feature most phenomena of interest, the Jansen and Rit model, and the slightly more complex model recently proposed by Wendling and Chauvel. This model-based approach allows us to test various neurophysiological hypotheses on the origin of pathological cortical behaviors and investigate the effect of medication. We also study the effects of the stochastic nature of the inputs, which gives us clues about the origins of such important phenomena as interictal spikes, interictal bursts, and fast onset activity that are of particular relevance in epilepsy.
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Jonathan Touboul, Fabrice Wendling, Patrick Chauvel, Olivier Faugeras. Neural mass activity, bifurcations, and epilepsy.. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2011, 23 (12), pp.3232-86. ⟨10.1162/NECO_a_00206⟩. ⟨inria-00592529v2⟩

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