Large Animal Studies to Reduce the Foreign Body Reaction in Brain–Computer Interfaces: A Systematic Review

计算机科学 异物 医学 外科
作者
Shan Y. Mian,Jonathan Roy Honey,Alejandro Carnicer‐Lombarte,Damiano G. Barone
出处
期刊:Biosensors [Multidisciplinary Digital Publishing Institute]
卷期号:11 (8): 275-275 被引量:8
标识
DOI:10.3390/bios11080275
摘要

Brain-computer interfaces (BCI) are reliant on the interface between electrodes and neurons to function. The foreign body reaction (FBR) that occurs in response to electrodes in the brain alters this interface and may pollute detected signals, ultimately impeding BCI function. The size of the FBR is influenced by several key factors explored in this review; namely, (a) the size of the animal tested, (b) anatomical location of the BCI, (c) the electrode morphology and coating, (d) the mechanics of electrode insertion, and (e) pharmacological modification (e.g., drug eluting electrodes). Trialing methods to reduce FBR in vivo, particularly in large models, is important to enable further translation in humans, and we systematically reviewed the literature to this effect. The OVID, MEDLINE, EMBASE, SCOPUS and Scholar databases were searched. Compiled results were analysed qualitatively. Out of 8388 yielded articles, 13 were included for analysis, with most excluded studies experimenting on murine models. Cats, rabbits, and a variety of breeds of minipig/marmoset were trialed. On average, over 30% reduction in inflammatory cells of FBR on post mortem histology was noted across intervention groups. Similar strategies to those used in rodent models, including tip modification and flexible and sinusoidal electrode configurations, all produced good effects in histology; however, a notable absence of trials examining the effect on BCI end-function was noted. Future studies should assess whether the reduction in FBR correlates to an improvement in the functional effect of the intended BCI.
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
刚刚
木木杨发布了新的文献求助10
1秒前
1秒前
liubowen发布了新的文献求助20
2秒前
辰月三三完成签到,获得积分10
2秒前
赘婿应助agony采纳,获得10
2秒前
2秒前
3秒前
氢氧画加完成签到 ,获得积分10
4秒前
yidi01完成签到,获得积分10
4秒前
颂歌998发布了新的文献求助10
6秒前
6秒前
xiaowu完成签到,获得积分20
6秒前
7秒前
7秒前
xuan发布了新的文献求助10
8秒前
8秒前
情怀应助哈哈哈哈采纳,获得10
9秒前
10秒前
11秒前
xiaowu发布了新的文献求助10
12秒前
彭于晏应助hannah采纳,获得10
12秒前
12秒前
rrrr发布了新的文献求助10
12秒前
13秒前
嘉嘉发布了新的文献求助10
14秒前
xuan发布了新的文献求助10
15秒前
出其东门发布了新的文献求助10
15秒前
垚垚应助liubowen采纳,获得20
18秒前
所所应助agony采纳,获得10
19秒前
xuan发布了新的文献求助10
22秒前
科研通AI2S应助rrrr采纳,获得10
22秒前
哈哈哈完成签到 ,获得积分10
24秒前
Guowei完成签到,获得积分10
26秒前
TRISTE完成签到 ,获得积分10
27秒前
yunwu完成签到,获得积分10
27秒前
少卿发布了新的文献求助10
28秒前
xuan发布了新的文献求助10
29秒前
31秒前
32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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 7576578
求助须知:如何正确求助?哪些是违规求助? 9156162
关于积分的说明 19587874
捐赠科研通 7160479
什么是DOI,文献DOI怎么找? 3265037
关于科研通互助平台的介绍 2430187
邀请新用户注册赠送积分活动 2255662