A unifying explanation of primary generalized seizures through nonlinear brain modeling and bifurcation analysis
A unifying explanation of primary generalized seizures through nonlinear brain modeling and bifurcation analysis
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DOI：
10.1093/cercor/bhj072
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发表时间：
2006-09-01
期刊：
影响因子：
3.7
通讯作者：
Robinson, P. A.
中科院分区：
文献类型：
--
作者：
Breakspear, M.;Roberts, J. A.;Robinson, P. A.
本文的目的是解释人类原发性全身性癫痫的关键特征，通过研究大脑的平均场动力学的非线性模型的动力学分叉。该模型将皮层视为电活动波传播的介质，并结合了关键的生理过程，如传播延迟，膜生理学和皮质丘脑反馈。以前的分析已经证明了其描述性的有效性，在广泛的健康状态，并产生了具体的预测癫痫发作的现象。我们表明，映射的非线性分岔集的结构预测了一些关键的动态过程，包括发病的周期和混沌动力学以及多稳定性。电生理数据的定量研究支持这些预测的有效性。因此，我们认为，强直阵挛性发作和失神发作之间的核心电生理和认知差异的预测和相互关联的模型的动力学的全局分叉图。本研究是第一个提出一个统一的解释，这些广义癫痫发作的大脑动力学模型的分叉分析。
The aim of this paper is to explain critical features of the human primary generalized epilepsies by investigating the dynamical bifurcations of a nonlinear model of the brain's mean field dynamics. The model treats the cortex as a medium for the propagation of waves of electrical activity, incorporating key physiological processes such as propagation delays, membrane physiology, and corticothalamic feedback. Previous analyses have demonstrated its descriptive validity in a wide range of healthy states and yielded specific predictions with regards to seizure phenomena. We show that mapping the structure of the nonlinear bifurcation set predicts a number of crucial dynamic processes, including the onset of periodic and chaotic dynamics as well as multistability. Quantitative study of electrophysiological data supports the validity of these predictions. Hence, we argue that the core electrophysiological and cognitive differences between tonic-clonic and absence seizures are predicted and interrelated by the global bifurcation diagram of the model's dynamics. The present study is the first to present a unifying explanation of these generalized seizures using the bifurcation analysis of a dynamical model of the brain.