Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates

被引：152

作者：

Chiang, Chia-Han ^{[1
]}

Won, Sang Min ^{[2
]}

Orsborn, Amy L. ^{[3
,4
,5
]}

Yu, Ki Jun ^{[6
]}

Trumpis, Michael ^{[1
]}

Bent, Brinnae ^{[1
]}

Wang, Charles ^{[1
]}

Xue, Yeguang ^{[7
,8
]}

Min, Seunghwan ^{[9
]}

Woods, Virginia ^{[1
]}

Yu, Chunxiu ^{[1
,10
]}

Kim, Bong Hoon ^{[11
,12
]}

Kim, Sung Bong ^{[13
]}

Huq, Rizwan ^{[14
]}

Li, Jinghua ^{[13
,15
,16
]}

Seo, Kyung Jin ^{[17
]}

Vitale, Flavia ^{[18
,19
]}

Richardson, Andrew ^{[20
]}

Fang, Hui ^{[17
]}

Huang, Yonggang ^{[7
,8
,13
,21
]}

Shepard, Kenneth ^{[14
,22
]}

Pesaran, Bijan ^{[3
,23
]}

Rogers, John A. ^{[7
,8
,13
,15
,21
,24
,25
,26
,27
]}

Viventi, Jonathan ^{[1
,28
,29
]}

机构：

[1] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA

[2] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon 16419, South Korea

[3] NYU, Ctr Neural Sci, New York, NY 10003 USA

[4] Univ Washington, Dept Elect & Comp Engn, Seattle, WA 98195 USA

[5] Univ Washington, Dept Bioengn, Seattle, WA 98195 USA

[6] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea

[7] Northwestern Univ, Dept Civil & Environm Engn, Evanston, IL 60208 USA

[8] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA

[9] Univ Wisconsin, Dept Elect & Comp Engn, Madison, WI 53706 USA

[10] Michigan Technol Univ, Dept Biol Sci, Houghton, MI 49931 USA

[11] Soongsil Univ, Dept Organ Mat & Fiber Engn, Seoul 06978, South Korea

[12] Soongsil Univ, Dept Informat Commun Mat & Chem Convergence Techn, Seoul 06978, South Korea

[13] Northwestern Univ, Mat Sci & Engn, Evanston, IL 60208 USA

[14] Columbia Univ, Dept Elect Engn, New York, NY 10027 USA

[15] Univ Illinois, Dept Mat Sci & Engn, Urbana, IL 61801 USA

[16] Ohio State Univ, Ctr Chron Brain Injury, Dept Mat Sci & Engn, Columbus, OH 43210 USA

[17] Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02115 USA

[18] Univ Penn, Ctr Neuroengn & Therapeut, Dept Neurol, Dept Phys Med & Rehabil,Dept Bioengn, Philadelphia, PA 19104 USA

[19] Corporal Michael J Crescenz Vet Affairs Med Ctr, Ctr Neurotrauma Neurodegenerat & Restorat, Philadelphia, PA 19104 USA

[20] Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA

[21] Northwestern Univ, Ctr Biointegrated Elect, Evanston, IL 60208 USA

[22] Columbia Univ, Dept Biomed Engn, New York, NY 10027 USA

[23] NYU Langone Hlth, Dept Neurol, New York, NY 10016 USA

[24] Northwestern Univ, Simpson Querrey Inst, Chicago, IL 60611 USA

[25] Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA

[26] Northwestern Univ, Dept Chem, Evanston, IL 60208 USA

[27] Northwestern Univ, Feinberg Sch Med, Dept Neurol Surg, Chicago, IL 60611 USA

[28] Duke Univ, Dept Neurobiol, Durham, NC 27708 USA

[29] Duke Univ, Dept Neurosurg, Durham, NC 27708 USA

来源：

SCIENCE TRANSLATIONAL MEDICINE | 2020年 / 12卷 / 538期

基金：

美国国家科学基金会;

关键词：

HIGH-DENSITY; BIOFLUID BARRIERS; ELECTRODE ARRAY; CORTEX; POTENTIALS; ULTRATHIN; SURFACE; LAYERS;

D O I：

10.1126/scitranslmed.aay4682

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Long-lasting, high-resolution neural interfaces that are ultrathin and flexible are essential for precise brain mapping and high-performance neuroprosthetic systems. Scaling to sample thousands of sites across large brain regions requires integrating powered electronics to multiplex many electrodes to a few external wires. However, existing multiplexed electrode arrays rely on encapsulation strategies that have limited implant lifetimes. Here, we developed a flexible, multiplexed electrode array, called "Neural Matrix," that provides stable in vivo neural recordings in rodents and nonhuman primates. Neural Matrix lasts over a year and samples a centimeter-scale brain region using over a thousand channels. The long-lasting encapsulation (projected to last at least 6 years), scalable device design, and iterative in vivo optimization described here are essential components to overcoming current hurdles facing next-generation neural technologies.

引用

页数：12

共 48 条

[1]

[Anonymous], 2015 7 INT IEEE EMBS

[2] Speech synthesis from neural decoding of spoken sentences [J].