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跨脑区的电容耦合决定了部分性癫痫发作的招募情况。

Permittivity coupling across brain regions determines seizure recruitment in partial epilepsy.

作者信息

Proix Timothée, Bartolomei Fabrice, Chauvel Patrick, Bernard Christophe, Jirsa Viktor K

机构信息

Aix Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France and INSERM, UMR 1106, 13005 Marseille, France and

Aix Marseille Université, Institut de Neurosciences des Systèmes, 13005 Marseille, France and INSERM, UMR 1106, 13005 Marseille, France and Assistance Publique-Hôpitaux de Marseille, Hôpital de la Timone, Service de Neurophysiologie Clinique, CHU, 13005 Marseille, France.

出版信息

J Neurosci. 2014 Nov 5;34(45):15009-21. doi: 10.1523/JNEUROSCI.1570-14.2014.

Abstract

Brain regions generating seizures in patients with refractory partial epilepsy are referred to as the epileptogenic zone (EZ). During a seizure, paroxysmal activity is not restricted to the EZ, but may recruit other brain regions and propagate activity through large brain networks, which comprise brain regions that are not necessarily epileptogenic. The identification of the EZ is crucial for candidates for neurosurgery and requires unambiguous criteria that evaluate the degree of epileptogenicity of brain regions. To obtain such criteria and investigate the mechanisms of seizure recruitment and propagation, we develop a mathematical framework of coupled neural populations, which can interact via signaling through a slow permittivity variable. The permittivity variable captures effects evolving on slow timescales, including extracellular ionic concentrations and energy metabolism, with time delays of up to seconds as observed clinically. Our analyses provide a set of indices quantifying the degree of epileptogenicity and predict conditions, under which seizures propagate to nonepileptogenic brain regions, explaining the responses to intracerebral electric stimulation in epileptogenic and nonepileptogenic areas. In conjunction, our results provide guidance in the presurgical evaluation of epileptogenicity based on electrographic signatures in intracerebral electroencephalograms.

摘要

在难治性局灶性癫痫患者中产生癫痫发作的脑区被称为致痫区(EZ)。在癫痫发作期间,阵发性活动并不局限于致痫区,而是可能会累及其他脑区,并通过包括不一定是致痫性的脑区在内的大脑大网络传播活动。致痫区的识别对于神经外科手术候选者至关重要,并且需要明确的标准来评估脑区的致痫程度。为了获得这样的标准并研究癫痫发作募集和传播的机制,我们开发了一个耦合神经群体的数学框架,该框架可以通过一个缓慢的电容率变量进行信号传递来相互作用。电容率变量捕捉在缓慢时间尺度上演变的效应,包括细胞外离子浓度和能量代谢,具有临床上观察到的长达数秒的时间延迟。我们的分析提供了一组量化致痫程度的指标,并预测癫痫发作传播到非致痫性脑区的条件,解释了致痫区和非致痫区对脑内电刺激的反应。同时,我们的结果为基于脑内脑电图的电描记特征在术前评估致痫性方面提供了指导。

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本文引用的文献

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On the nature of seizure dynamics.关于癫痫发作动力学的本质。
Brain. 2014 Aug;137(Pt 8):2210-30. doi: 10.1093/brain/awu133. Epub 2014 Jun 11.
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Frontal lobe seizures: from clinical semiology to localization.额叶癫痫:从临床症状学到定位。
Epilepsia. 2014 Feb;55(2):264-77. doi: 10.1111/epi.12490. Epub 2013 Dec 24.
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Proposing a two-level stochastic model for epileptic seizure genesis.提出一种用于癫痫发作起源的两级随机模型。
J Comput Neurosci. 2014 Feb;36(1):39-53. doi: 10.1007/s10827-013-0457-5. Epub 2013 Jun 4.
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Human seizures self-terminate across spatial scales via a critical transition.人类癫痫发作通过临界跃迁在空间尺度上自行终止。
Proc Natl Acad Sci U S A. 2012 Dec 18;109(51):21116-21. doi: 10.1073/pnas.1210047110. Epub 2012 Dec 4.
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Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 1):061918. doi: 10.1103/PhysRevE.85.061918. Epub 2012 Jun 22.

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