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

作者：Chia‐Han Chiang, Sang Min Won, Amy L. Orsborn, Ki Jun Yu, Michael Trumpis, Brinnae Bent, Charles Wang, Yeguang Xue, Seunghwan Min, Virginia Woods, Chunxiu Yu, Bong Hoon Kim, Sung Bong Kim, Rizwan Huq, Jinghua Li, Kyung Jin Seo, Flavia Vitale, Andrew G. Richardson, Hui Fang, Yonggang Huang, Kenneth L. Shepard, Bijan Pesaran, John A. Rogers, Jonathan Viventi · 发表于：Science Translational Medicine · 年份：2020 · DOI：10.1126/scitranslmed.aay4682 · 被引用次数：222 · 研究领域：EEG and Brain-Computer Interfaces、Neuroscience and Neural Engineering、Neural dynamics and brain function

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.