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Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.
Chiang, Chia-Han; Won, Sang Min; Orsborn, Amy L; Yu, Ki Jun; Trumpis, Michael; Bent, Brinnae; Wang, Charles; Xue, Yeguang; Min, Seunghwan; Woods, Virginia; Yu, Chunxiu; Kim, Bong Hoon; Kim, Sung Bong; Huq, Rizwan; Li, Jinghua; Seo, Kyung Jin; Vitale, Flavia; Richardson, Andrew; Fang, Hui; Huang, Yonggang; Shepard, Kenneth; Pesaran, Bijan; Rogers, John A; Viventi, Jonathan.
Afiliação
  • Chiang CH; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA. j.viventi@duke.edu jrogers@northwestern.edu bijan@nyu.edu kenchiangch@gmail.com.
  • Won SM; Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
  • Orsborn AL; Center for Neural Science, New York University, New York, NY 10003, USA.
  • Yu KJ; Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA.
  • Trumpis M; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
  • Bent B; School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea.
  • Wang C; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Xue Y; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Min S; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Woods V; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Yu C; Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Kim BH; Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Kim SB; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Huq R; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
  • Li J; Department of Biological Science, Michigan Technological University, Houghton, MI 49931, USA.
  • Seo KJ; Department of Organic Materials and Fiber Engineering, Soongsil University, Seoul 06978, Republic of Korea.
  • Vitale F; Department of Information Communication, Materials, and Chemistry Convergence Technology, Soongsil University, Seoul 06978, Republic of Korea.
  • Richardson A; Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Fang H; Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
  • Huang Y; Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Shepard K; Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
  • Pesaran B; Department of Materials Science and Engineering, Center for Chronic Brain Injury, The Ohio State University, Columbus, OH 43210, USA.
  • Rogers JA; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.
  • Viventi J; Department of Neurology, Department of Bioengineering, Department of Physical Medicine & Rehabilitation, Center for Neuroengineering and Therapeutics, University of Pennsylvania, PA 19104, USA.
Sci Transl Med ; 12(538)2020 04 08.
Article em En | MEDLINE | ID: mdl-32269166
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Roedores / Mapeamento Encefálico Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Roedores / Mapeamento Encefálico Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article