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用于周围神经接口的材料的弯曲特性

Bending Properties of Materials for Peripheral Nerve Interfaces.

作者信息

Woods Joshua E, Welle Elissa J, Chen Lei, Richie Julianna M, Patel Paras R, Chestek Cynthia A

机构信息

Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.

Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

出版信息

IEEE Int Conf Nano Micro Eng Mol Syst. 2020 Sep;2020:407-412. doi: 10.1109/nems50311.2020.9265629. Epub 2020 Nov 27.

Abstract

Intrafascicular peripheral nerve interfaces (PNIs) with penetrating electrodes have the potential to chronically record from nerves on the scale of single axons. The small size and dynamic environment of peripheral nerves makes material selection important for these devices. In this work, we describe how the bending properties of common PNI electrode materials contribute to their effectiveness as self-inserting PNIs. First, tungsten, platinum-iridium, and carbon fiber wires are tested to assess their ability to survive repeated bending stresses when embedded in silicone. Next, carbon fiber wires are attached to a flexible circuit board encased in silicone to characterize how they survive stresses in prototype PNI devices. Finally, in order to validate experimental results, we use COMSOL to investigate the optimal thickness of the embedded silicone layer by simulating the stress distribution in carbon fiber wires on a flexible circuit board. Carbon fiber wires were shown to survive bending stresses better than tungsten and platinum-iridium wires. Physical testing and COMSOL modeling of carbon fiber prototype devices showed an optimal silicone thickness of 200 m that prevents carbon fiber breakage but minimizes PNI device size. Overall, these results serve as a guide for selection of self-inserting PNI materials and development of carbon fiber PNIs.

摘要

带有穿透式电极的束内周围神经接口(PNI)有潜力在单根轴突层面上对神经进行长期记录。周围神经的小尺寸和动态环境使得这些设备的材料选择至关重要。在这项工作中,我们描述了常见PNI电极材料的弯曲特性如何有助于其作为自插入式PNI的有效性。首先,对钨丝、铂铱丝和碳纤维丝进行测试,以评估它们嵌入硅酮后承受反复弯曲应力的能力。接下来,将碳纤维丝连接到封装在硅酮中的柔性电路板上,以表征它们在原型PNI设备中的应力承受情况。最后,为了验证实验结果,我们使用COMSOL通过模拟柔性电路板上碳纤维丝中的应力分布来研究嵌入硅酮层的最佳厚度。结果表明,碳纤维丝比钨丝和铂铱丝更能承受弯曲应力。碳纤维原型设备的物理测试和COMSOL建模显示,200微米的最佳硅酮厚度既能防止碳纤维断裂,又能使PNI设备尺寸最小化。总体而言,这些结果为自插入式PNI材料的选择和碳纤维PNI的开发提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354c/12150231/1995f875ebb4/nihms-1666658-f0001.jpg

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Bending Properties of Materials for Peripheral Nerve Interfaces.用于周围神经接口的材料的弯曲特性
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