Extracellular matrix-based intracortical microelectrodes: Toward a microfabricated neural interface based on natural materials

微电极 细胞外基质 材料科学 纳米技术 接口(物质) 神经假体 基质(化学分析) 微加工 自然(考古学) 神经科学 化学 电极 生物 复合材料 医学 制作 古生物学 物理化学 病理 毛细管作用 生物化学 替代医学 毛细管数
作者
Wen Shen,Lohitash Karumbaiah,Xi Liu,Tarun Saxena,Shuodan Chen,Radhika Patkar,Ravi V. Bellamkonda,Mark G. Allen
出处
期刊:Microsystems & Nanoengineering [Springer Nature]
卷期号:1 (1) 被引量:57
标识
DOI:10.1038/micronano.2015.10
摘要

Extracellular matrix (ECM)-based implantable neural electrodes (NEs) were achieved using a microfabrication strategy on natural-substrate-based organic materials. The ECM-based design minimized the introduction of non-natural products into the brain. Further, it rendered the implants sufficiently rigid for penetration into the target brain region and allowed them subsequently to soften to match the elastic modulus of brain tissue upon exposure to physiological conditions, thereby reducing inflammatory strain fields in the tissue. Preliminary studies suggested that ECM-NEs produce a reduced inflammatory response compared with inorganic rigid and flexible approaches. In vivo intracortical recordings from the rat motor cortex illustrate one mode of use for these ECM-NEs. Researchers have combined biocompatible collagen fibers with a gelatinous protein mixture for improved brain–prosthetic interfaces. Mark Allen from the University of Pennsylvania and co-workers from the Georgia Institute of Technology set out to solve the problems typically associated with clinical brain applications—such as a mismatch between the rigidness of the implant and brain tissue, which leads to strain and inflammation. The researchers developed new electrodes that are embedded in a collagen/gelatinous mixture and have sufficient rigidity to enter target brain tissue. After incorporation into the brain, the electrodes soften and produce desireable biomechanical characteristics under physiological conditions. In vivo experiments demonstrated that this strategy yields reduced long-term inflammatory responses than existing methods, representingone step toward the development of implantable devices with improved functionality and reduced strain on patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lebangzhanshi发布了新的文献求助80
刚刚
lebangzhanshi发布了新的文献求助10
1秒前
lebangzhanshi发布了新的文献求助10
1秒前
六个核桃完成签到,获得积分10
2秒前
2秒前
darlinglu完成签到,获得积分10
2秒前
AUM123完成签到,获得积分10
2秒前
威武的青易完成签到 ,获得积分20
4秒前
lebangzhanshi发布了新的文献求助10
4秒前
momo完成签到,获得积分10
4秒前
lebangzhanshi发布了新的文献求助10
4秒前
端庄南莲完成签到,获得积分10
4秒前
5秒前
6秒前
LL完成签到,获得积分10
7秒前
格言完成签到,获得积分20
8秒前
飞天猫发布了新的文献求助10
9秒前
bc完成签到,获得积分10
10秒前
11秒前
英姑应助不将就采纳,获得10
13秒前
研友_8yN60L完成签到,获得积分10
13秒前
小白菜完成签到,获得积分10
15秒前
16秒前
17秒前
17秒前
18秒前
20秒前
21秒前
22秒前
Xw完成签到,获得积分10
22秒前
bamboo发布了新的文献求助10
23秒前
深情安青应助飞天猫采纳,获得10
24秒前
鑫妍妍发布了新的文献求助10
25秒前
25秒前
和璨完成签到,获得积分10
25秒前
HP发布了新的文献求助10
25秒前
大气小天鹅完成签到 ,获得积分10
26秒前
小小青椒发布了新的文献求助10
26秒前
OK应助搞怪世德采纳,获得200
26秒前
Kan发布了新的文献求助10
27秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
The Redesign of International Investment Contracts 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7538208
求助须知:如何正确求助?哪些是违规求助? 9123020
关于积分的说明 19489394
捐赠科研通 7135792
什么是DOI,文献DOI怎么找? 3257746
关于科研通互助平台的介绍 2425037
邀请新用户注册赠送积分活动 2245777