Kozai Takashi D Y, Catt Kasey, Li Xia, Gugel Zhannetta V, Olafsson Valur T, Vazquez Alberto L, Cui X Tracy
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States; Center for Neural Basis of Cognition, Pittsburgh, PA, United States; McGowan Institute for Regenerative Medicine, Pittsburgh, PA, United States.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Biomaterials. 2015 Jan;37:25-39. doi: 10.1016/j.biomaterials.2014.10.040. Epub 2014 Oct 27.
Penetrating intracortical electrode arrays that record brain activity longitudinally are powerful tools for basic neuroscience research and emerging clinical applications. However, regardless of the technology used, signals recorded by these electrodes degrade over time. The failure mechanisms of these electrodes are understood to be a complex combination of the biological reactive tissue response and material failure of the device over time. While mechanical mismatch between the brain tissue and implanted neural electrodes have been studied as a source of chronic inflammation and performance degradation, the electrode failure caused by mechanical mismatch between different material properties and different structural components within a device have remained poorly characterized. Using Finite Element Model (FEM) we simulate the mechanical strain on a planar silicon electrode. The results presented here demonstrate that mechanical mismatch between iridium and silicon leads to concentrated strain along the border of the two materials. This strain is further focused on small protrusions such as the electrical traces in planar silicon electrodes. These findings are confirmed with chronic in vivo data (133-189 days) in mice by correlating a combination of single-unit electrophysiology, evoked multi-unit recordings, electrochemical impedance spectroscopy, and scanning electron microscopy from traces and electrode sites with our modeling data. Several modes of mechanical failure of chronically implanted planar silicon electrodes are found that result in degradation and/or loss of recording. These findings highlight the importance of strains and material properties of various subcomponents within an electrode array.
能够纵向记录大脑活动的穿透性皮层内电极阵列,是基础神经科学研究和新兴临床应用的有力工具。然而,无论使用何种技术,这些电极记录的信号都会随时间而退化。这些电极的失效机制被认为是生物反应性组织反应与设备随时间推移的材料失效的复杂组合。虽然脑组织与植入的神经电极之间的机械不匹配已被研究为慢性炎症和性能退化的一个原因,但由设备内不同材料特性和不同结构组件之间的机械不匹配导致的电极失效仍未得到充分表征。我们使用有限元模型(FEM)模拟了平面硅电极上的机械应变。此处呈现的结果表明,铱和硅之间的机械不匹配会导致沿两种材料边界的应变集中。这种应变进一步集中在诸如平面硅电极中的电迹线等小突起上。通过将单单元电生理学、诱发多单元记录、电化学阻抗谱以及来自电迹线和电极位点的扫描电子显微镜检查等数据与我们的建模数据相关联,这些发现得到了小鼠体内长期数据(133 - 189天)的证实。发现了长期植入的平面硅电极的几种机械失效模式,这些模式会导致记录退化和/或丢失。这些发现突出了电极阵列内各个子组件的应变和材料特性的重要性。