Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller.
Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller.
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使用闭环比例积分控制器抑制神经质量模型中的癫痫活动
DOI：
10.1038/srep27344
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发表时间：
2016-06-07
影响因子：
4.6
通讯作者：
Li X
中科院分区：
文献类型：
--
作者：
Wang J;Niebur E;Hu J;Li X
闭环控制是一种很有前途的脑深部电刺激（DBS）策略，可用于抑制高振幅癫痫活动。然而，目前没有分析方法来确定有效和安全的治疗方案的刺激参数。比例积分（PI）控制因其实现简单、性能优良而成为控制工程领域中应用最广泛的闭环控制方案。在本研究中，我们以Jansen的神经质量模型（NMM）为实验平台，发展一个PI型的闭环控制器来抑制癫痫活动。采用图解稳定性分析方法确定了PI控制器在控制参数空间的稳定域，为PI控制器参数的选择提供了理论指导。此外，我们建立了PI控制器的参数和NMM的参数之间的关系的稳定区域的形式，这提供了深入了解的机制，可能会抑制癫痫活动的NMM。仿真结果验证了所提出的闭环PI控制方案的正确性和有效性。
Closed-loop control is a promising deep brain stimulation (DBS) strategy that could be used to suppress high-amplitude epileptic activity. However, there are currently no analytical approaches to determine the stimulation parameters for effective and safe treatment protocols. Proportional-integral (PI) control is the most extensively used closed-loop control scheme in the field of control engineering because of its simple implementation and perfect performance. In this study, we took Jansen’s neural mass model (NMM) as a test bed to develop a PI-type closed-loop controller for suppressing epileptic activity. A graphical stability analysis method was employed to determine the stabilizing region of the PI controller in the control parameter space, which provided a theoretical guideline for the choice of the PI control parameters. Furthermore, we established the relationship between the parameters of the PI controller and the parameters of the NMM in the form of a stabilizing region, which provided insights into the mechanisms that may suppress epileptic activity in the NMM. The simulation results demonstrated the validity and effectiveness of the proposed closed-loop PI control scheme.