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基于适形聚酰亚胺的微电极阵列脑电图记录系统:使电极更靠近信号源。

Conformable polyimide-based μECoGs: Bringing the electrodes closer to the signal source.

作者信息

Vomero Maria, Porto Cruz Maria Francisca, Zucchini Elena, Ciarpella Francesca, Delfino Emanuela, Carli Stefano, Boehler Christian, Asplund Maria, Ricci Davide, Fadiga Luciano, Stieglitz Thomas

机构信息

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Germany; Currently at Department of Electrical Engineering (SEAS), Columbia University, New York City, USA.

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy.

出版信息

Biomaterials. 2020 Oct;255:120178. doi: 10.1016/j.biomaterials.2020.120178. Epub 2020 Jun 15.

DOI:10.1016/j.biomaterials.2020.120178
PMID:32569863
Abstract

Structural biocompatibility is a fundamental requirement for chronically stable bioelectronic devices. Newest neurotechnologies are increasingly focused on minimizing the foreign body response through the development of devices that match the mechanical properties of the implanted tissue and mimic its surface composition, often compromising on their robustness. In this study, an analytical approach is proposed to determine the threshold of conformability for polyimide-based electrocorticography devices. A finite element model was used to quantify the depression of the cortex following the application of devices mechanically above or below conformability threshold. Findings were validated in vivo on rat animal models. Impedance measurements were performed for 40 days after implantation to monitor the status of the biotic/abiotic interface with both conformable and non-conformable implants. Multi-unit activity was then recorded for 12 weeks after implantation using the most compliant device type. It can therefore be concluded that conformability is an essential prerequisite for steady and reliable implants which does not only depend on the Young's modulus of the device material: it strongly relies on the relation between tissue curvature at the implantation site and corresponding device's thickness and geometry, which eventually define the moment of inertia and the interactions at the material-tissue interface.

摘要

结构生物相容性是长期稳定的生物电子设备的基本要求。最新的神经技术越来越注重通过开发与植入组织的机械性能相匹配并模仿其表面组成的设备来最小化异物反应,这往往会牺牲其坚固性。在本研究中,提出了一种分析方法来确定基于聚酰亚胺的皮层脑电图设备的顺应性阈值。使用有限元模型来量化在机械性能高于或低于顺应性阈值的设备应用后皮层的凹陷程度。研究结果在大鼠动物模型上进行了体内验证。植入后进行了40天的阻抗测量,以监测顺应性和非顺应性植入物的生物/非生物界面状态。然后使用最顺应的设备类型在植入后12周记录多单元活动。因此可以得出结论,顺应性是稳定可靠植入物的基本前提,这不仅取决于设备材料的杨氏模量:它强烈依赖于植入部位的组织曲率与相应设备的厚度和几何形状之间的关系,最终决定了惯性矩以及材料-组织界面处的相互作用。

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