Coupled Eulerian-Lagrangian model prediction of neural tissue strain during microelectrode insertion.

K P O'Sullivan, B Coats
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Abstract

Objective.Implanted neural microelectrodes are an important tool for recording from and stimulating the cerebral cortex. The performance of chronically implanted devices, however, is often hindered by the development of a reactive tissue response. Previous computational models have investigated brain strain from micromotions of neural electrodes after they have been inserted, to investigate design parameters that might minimize triggers to the reactive tissue response. However, these models ignore tissue damage created during device insertion, an important contributing factor to the severity of inflammation. The objective of this study was to evaluate the effect of electrode geometry, insertion speed, and surface friction on brain tissue strain during insertion.Approach. Using a coupled Eulerian-Lagrangian approach, we developed a 3D finite element model (FEM) that simulates the dynamic insertion of a neural microelectrode in brain tissue. Geometry was varied to investigate tip bluntness, cross-sectional shape, and shank thickness. Insertion velocities were varied from 1 to 8 m s-1. Friction was varied from frictionless to 0.4. Tissue strain and potential microvasculature hemorrhage radius were evaluated for brain regions along the electrode shank and near its tip.Main results. Sharper tips resulted in higher mean max principal strains near the tip except for the bluntest tip on the square cross-section electrode, which exhibited high compressive strain values due to stress concentrations at the corners. The potential vascular damage radius around the electrode was primarily a function of the shank diameter, with smaller shank diameters resulting in smaller distributions of radial strain around the electrode. However, the square shank interaction with the tip taper length caused unique strain distributions that increased the damage radius in some cases. Faster insertion velocities created more strain near the tip but less strain along the shank. Increased friction between the brain and electrode created more strain near the electrode tip and along the shank, but frictionless interactions resulted in increased tearing of brain tissue near the tip.Significance. These results demonstrate the first dynamic FEM study of neural electrode insertion, identifying design factors that can reduce tissue strain and potentially mitigate initial reactive tissue responses due to traumatic microelectrode array insertion.

欧拉-拉格朗日耦合模型预测微电极插入过程中的神经组织应变。
目的: 植入式神经微电极是记录和刺激大脑皮层的重要工具。然而,长期植入装置的性能往往受到反应性组织反应的影响。以前的计算模型研究了神经电极插入后微动产生的脑应变,以研究可最大限度减少触发反应性组织反应的设计参数。然而,这些模型忽略了设备插入过程中造成的组织损伤,而这是导致炎症严重程度的一个重要因素。本研究旨在评估电极几何形状、插入速度和表面摩擦对插入过程中脑组织应变的影响:方法:我们使用欧拉-拉格朗日(CEL)耦合方法开发了一个三维有限元模型(FEM),模拟神经微电极在脑组织中的动态插入。通过改变几何形状来研究针尖钝度、横截面形状和针柄厚度。插入速度从 1 米/秒到 8 米/秒不等。摩擦力从无摩擦到 0.4 不等。除了方形截面电极上最钝的尖端外,其他尖端附近的组织应变和潜在微血管出血半径均较高。电极周围潜在的血管损伤半径主要是柄部直径的函数,柄部直径越小,电极周围的径向应变分布越小。然而,方形柄与尖端锥度长度的相互作用造成了独特的应变分布,在某些情况下增加了损伤半径。更快的插入速度会在尖端附近产生更多应变,但沿柄的应变较小。大脑和电极之间的摩擦增加会在电极尖端附近和沿柄产生更多应变,但无摩擦的相互作用会导致尖端附近的脑组织撕裂增加:这些结果首次展示了神经电极插入的动态有限元研究,确定了可以减少组织应变的设计因素,并有可能减轻创伤性微电极阵列插入引起的初始反应性组织反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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