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基于增强硅胶基板的高密度、主动复用微脑电图(μECoG)阵列

High-Density, Actively Multiplexed μECoG Array on Reinforced Silicone Substrate.

作者信息

Rachinskiy Iakov, Wong Liane, Chiang Chia-Han, Wang Charles, Trumpis Michael, Ogren John I, Hu Zhe, McLaughlin Bryan, Viventi Jonathan

机构信息

Department of Biomedical Engineering, Duke University, Durham, NC, United States.

Micro-Leads Inc., Somerville, MA, United States.

出版信息

Front Nanotechnol. 2022;4. doi: 10.3389/fnano.2022.837328. Epub 2022 Feb 24.

DOI:10.3389/fnano.2022.837328
PMID:35898702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9310058/
Abstract

Simultaneous interrogation of electrical signals from wide areas of the brain is vital for neuroscience research and can aid in understanding the mechanisms of brain function and treatments for neurological disorders. There emerges a demand for development of devices with highly conformal interfaces that can span large cortical regions, have sufficient spatial resolution, and chronic recording capability while keeping a small implantation footprint. In this work, we have designed 61 channel and 48 channel high-density, cortical, micro-electrocorticographic electrode arrays with 400 μm pitch on an ultra-soft but durable substrate. We have also developed a custom multiplexing integrated circuit (IC), methods for packaging the IC in a water-tight liquid crystal polymer casing, and a micro-bonding method for attaching the electronics package to the electrode array. With the integrated multiplexer, the number of external wire connections can be reduced to 16 wires, thereby diminishing the invasive footprint of the device. Both the electrode array and IC were tested in a rat model to demonstrate the ability to sense finely-localized electrophysiological signals.

摘要

同时对大脑广泛区域的电信号进行检测对于神经科学研究至关重要,有助于理解脑功能机制和神经系统疾病的治疗方法。因此,人们需要开发具有高度贴合界面的设备,这种设备能够覆盖大的皮质区域,具备足够的空间分辨率和长期记录能力,同时保持较小的植入面积。在这项工作中,我们设计了61通道和48通道的高密度皮质微脑电图电极阵列,其间距为400μm,采用超柔软但耐用的基板。我们还开发了一种定制的多路复用集成电路(IC)、将IC封装在防水液晶聚合物外壳中的方法以及将电子封装连接到电极阵列的微键合方法。通过集成多路复用器,外部电线连接数量可减少至16根,从而减少设备的侵入面积。电极阵列和IC均在大鼠模型中进行了测试,以证明其检测精细定位电生理信号的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/cbfa6127153c/nihms-1818773-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/a51ba522d044/nihms-1818773-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/8d5f57b4db99/nihms-1818773-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/9d535d3058a8/nihms-1818773-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/f97e79b715a7/nihms-1818773-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/37426a02652e/nihms-1818773-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/bb13360f5969/nihms-1818773-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/cbfa6127153c/nihms-1818773-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/a51ba522d044/nihms-1818773-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/8d5f57b4db99/nihms-1818773-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/9d535d3058a8/nihms-1818773-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/f97e79b715a7/nihms-1818773-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/37426a02652e/nihms-1818773-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/bb13360f5969/nihms-1818773-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/9310058/cbfa6127153c/nihms-1818773-f0007.jpg

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