한빛사논문
Enming Song1,14, Jinghua Li2,3,14, Sang Min Won4,14, Wubin Bai5,14 and John A. Rogers1,5,6,7,8,9,10,11,12,13,*
1Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA. 2Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, USA. 3Center for Chronic Brain Injury, The Ohio State University, Columbus, OH, USA. 4Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea. 5Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA. 6Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA. 7Department of Neurological Surgery, Northwestern University, Evanston, IL, USA. 8Department of Chemistry, Northwestern University, Evanston, IL, USA. 9Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA. 10Department of Electrical Engineering, Northwestern University, Evanston, IL, USA. 11Department of Computer Science, Northwestern University, Evanston, IL, USA. 12Feinberg School of Medicine, Northwestern University, Evanston, IL, USA. 13Querrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA. 14These authors contributed equally: Enming Song, Jinghua Li, Sang Min Won, Wubin Bai.
*Corresponding author
Abstract
Engineered systems that can serve as chronically stable, high-performance electronic recording and stimulation interfaces to the brain and other parts of the nervous system, with cellular-level resolution across macroscopic areas, are of broad interest to the neuroscience and biomedical communities. Challenges remain in the development of biocompatible materials and the design of flexible implants for these purposes, where ulimate goals are for performance attributes approaching those of conventional wafer-based technologies and for operational timescales reaching the human lifespan. This Review summarizes recent advances in this field, with emphasis on active and passive constituent materials, design architectures and integration methods that support necessary levels of biocompatibility, electronic functionality, long-term stable operation in biofluids and reliability for use in vivo. Bioelectronic systems that enable multiplexed electrophysiological mapping across large areas at high spatiotemporal resolution are surveyed, with a particular focus on those with proven chronic stability in live animal models and scalability to thousands of channels over human-brain-scale dimensions. Research in materials science will continue to underpin progress in this field of study.
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