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
Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Sci Transl Med. 2020 Apr 8;12(538). doi: 10.1126/scitranslmed.aay4682.
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.
持久、高分辨率的超薄且灵活的神经接口对于精确的脑图谱绘制和高性能神经假体系统至关重要。扩展到在大脑大区域中对数千个位点进行采样需要集成有源电子器件,以便将多个电极多路复用到几根外部导线上。然而,现有的多路复用电极阵列依赖于植入寿命有限的封装策略。在此,我们开发了一种名为“神经矩阵”的灵活多路复用电极阵列,它能在啮齿动物和非人类灵长类动物体内提供稳定的神经记录。神经矩阵可持续使用一年以上,并使用一千多个通道对厘米级的脑区进行采样。这里描述的持久封装(预计至少持续6年)、可扩展的器件设计和迭代式体内优化是克服下一代神经技术当前障碍的关键组成部分。