Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings

计算机科学 电生理学 神经科学 材料科学 生物医学工程 纳米技术 工程类 生物
作者
Suhao Wang,Qianqian Jiang,Hang Liu,Chaonan Yu,Pengxian Li,Gang Pan,Kedi Xu,Rui Xiao,Yaoyao Hao,Chengjun Wang,Jizhou Song
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:121 (40) 被引量:5
标识
DOI:10.1073/pnas.2403380121
摘要

Flexible intracortical probes offer important opportunities for stable neural interfaces by reducing chronic immune responses, but their advances usually come with challenges of difficult implantation and limited recording span. Here, we reported a mechanically adaptive and deployable intracortical probe, which features a foldable fishbone-like structural design with branching electrodes on a temperature-responsive shape memory polymer (SMP) substrate. Leveraging the temperature-triggered soft-rigid phase transition and shape memory characteristic of SMP, this probe design enables direct insertion into brain tissue with minimal footprint in a folded configuration while automatically softening to reduce mechanical mismatches with brain tissue and deploying electrodes to a broader recording span under physiological conditions. Experimental and numerical studies on the material softening and structural folding-deploying behaviors provide insights into the design, fabrication, and operation of the intracortical probes. The chronically implanted neural probe in the rat cortex demonstrates that the proposed neural probe can reliably detect and track individual units for months with stable impedance and signal amplitude during long-term implantation. The work provides a tool for stable neural activity recording and creates engineering opportunities in basic neuroscience and clinical applications.
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
5秒前
5秒前
zhengzheng发布了新的文献求助10
8秒前
bkagyin应助devilfish13采纳,获得10
9秒前
10秒前
酒剑仙完成签到,获得积分10
11秒前
shuyunlou完成签到,获得积分10
11秒前
11秒前
11秒前
mfewf完成签到,获得积分10
12秒前
13秒前
共享精神应助怡然的向南采纳,获得10
14秒前
韭黄完成签到,获得积分20
14秒前
大个应助prof.zhang采纳,获得10
14秒前
16秒前
17秒前
半柚发布了新的文献求助10
18秒前
xingmeng完成签到,获得积分10
18秒前
18秒前
19秒前
虚拟的南烟关注了科研通微信公众号
19秒前
guohuan发布了新的文献求助10
21秒前
彭于晏发布了新的文献求助20
24秒前
努力独行者完成签到,获得积分10
24秒前
28秒前
30秒前
30秒前
32秒前
prof.zhang发布了新的文献求助10
35秒前
Wmin发布了新的文献求助20
35秒前
35秒前
张志远发布了新的文献求助10
35秒前
35秒前
36秒前
raycee发布了新的文献求助10
37秒前
38秒前
38秒前
xiaolu发布了新的文献求助10
39秒前
swalee99完成签到 ,获得积分10
39秒前
骨科发布了新的文献求助10
40秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736328
求助须知:如何正确求助?哪些是违规求助? 3280123
关于积分的说明 10018861
捐赠科研通 2996771
什么是DOI,文献DOI怎么找? 1644279
邀请新用户注册赠送积分活动 781872
科研通“疑难数据库(出版商)”最低求助积分说明 749554