Investigating the depth electrode-brain interface in deep brain stimulation using finite element models with graded complexity in structure and solution.
Investigating the depth electrode-brain interface in deep brain stimulation using finite element models with graded complexity in structure and solution.
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DOI：
10.1016/j.jneumeth.2009.07.005
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发表时间：
2009-10-30
影响因子：
3
通讯作者：
Liu, Xuguang
中科院分区：
文献类型：
--
作者：
Yousif, Nada;Liu, Xuguang
关键词：
脑深部电刺激（DBS）是一种越来越多地用于一系列神经系统疾病的手术治疗，涉及以疾病特异性方式对人脑各个区域进行长期电刺激。尽管在过去的20年里一直在使用，但其基本机制仍然不为人所知，而且存在争议。特别地，当电极被植入人脑中时，产生具有变化的生物物理特性的界面，这可能影响刺激。我们之前将电极-脑界面（EBI）定义为由三个结构元素组成：四极DBS电极、电极周围空间和周围脑组织。为了更好地了解EBI的性质，我们使用了这个接口的结构计算模型，并使用耦合轴突模型估计刺激的影响。这些有限元模型的复杂性不同，每个模型都突出了EBI对DBS感应电场的影响的不同特征。我们表明，准静态模型足以证明植入后急性和慢性临床阶段之间的差异。然而，频率相关的模型是必要的，因为波形成形对神经纤维的激活具有重大影响。我们还研究了电场的解剖学效应，通过具体考虑在人脑中的脑室系统。总之，这些模型使我们能够可视化周围大脑区域中DBS诱导场的静态，动态和目标特定特性。
Deep brain stimulation (DBS) is an increasingly used surgical therapy for a range of neurological disorders involving the long-term electrical stimulation of various regions of the human brain in a disorder-specific manner. Despite being used for the last 20 years, the underlying mechanisms are still not known, and disputed. In particular, when the electrodes are implanted into the human brain, an interface is created with changing biophysical properties which may impact on stimulation. We previously defined the electrode-brain interface (EBI) as consisting of three structural elements: the quadripolar DBS electrode, the peri-electrode space and the surrounding brain tissue. In order to understand more about the nature of the EBI, we used structural computational models of this interface, and estimated the effects of stimulation using coupled axon models. These finite element models differ in complexity, each highlighting a different feature of the EBI’s effect on the DBS induced electric field. We show that the quasi-static models are sufficient to demonstrate the difference between the acute and chronic clinical stages post-implantation. However, the frequency-dependent models are necessary as the waveform shaping has a major influence on the activation of neuronal fibres. We also investigate anatomical effects on the electric field, by taking specific account of the ventricular system in the human brain. Taken together, these models allow us to visualise the static, dynamic and target specific properties of the DBS induced field in the surrounding brain regions.
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