Distributed control in a mean-field cortical network model: Implications for seizure suppression
Distributed control in a mean-field cortical network model: Implications for seizure suppression
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DOI：
10.1103/physreve.86.021920
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发表时间：
2012-08-21
影响因子：
2.4
通讯作者：
Kramer, Mark A.
中科院分区：
文献类型：
--
作者：
Ching, ShiNung;Brown, Emery N.;Kramer, Mark A.
脑电刺激（BES）长期以来一直被认为是控制病理性脑活动的一种手段。在癫痫中，控制空间定位源，癫痫发作焦点，可以使神经元动力学正常化。因此，大多数BES的研究都是针对控制小的、局部的神经元群体。在更高的水平上，病理性癫痫发作活动可以被视为一个网络事件，它可能在没有明确的空间焦点或在多个部位开始开始，并通过分布式皮质网络迅速传播。在本文中，我们开始解决本地控制在网络场景中的影响。为了做到这一点，我们探索了本地BES部署在一个更大规模的神经元网络，例如，使用一个网格的刺激电极在皮层上的功效。通过引入神经元相互作用的平均场模型，我们能够识别基于生理约束的网络可控性的限制，这表明需要更细致入微的网络控制策略。
Brain electrical stimulation (BES) has long been suggested as a means of controlling pathological brain activity. In epilepsy, control of a spatially localized source, the seizure focus, may normalize neuronal dynamics. Consequently, most BES research has been directed at controlling small, local, neuronal populations. At a higher level, pathological seizure activity can be viewed as a network event that may begin without a clear spatial focus or in multiple sites and spread rapidly through a distributed cortical network. In this paper, we begin to address the implications of local control in a network scenario. To do so, we explore the efficacy of local BES when deployed over a larger-scale neuronal network, for instance, using a grid of stimulating electrodes on the cortex. By introducing a mean-field model of neuronal interactions we are able to identify limitations in network controllability based on physiological constraints that suggest the need for more nuanced network control strategies.