4.8 Article

Selective Formation of Porous Pt Nanorods for Highly Electrochemically Efficient Neural Electrode Interfaces

期刊

NANO LETTERS
卷 19, 期 9, 页码 6244-6254

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.9b02296

关键词

platinum nanorod; clinical; brain; neural interface; neurotechnology

资金

  1. CINT, U.S. Department of Energy, Office of Basic Energy Sciences User Facility at Los Alamos National Laboratory [DE-AC52-06NA25396]
  2. Sandia National Laboratories [DE-AC04-94AL85000]
  3. National Science Foundation [ECCS-1542148]
  4. NSF-CAREER [1351980]
  5. NSF CMMI award [1728497]
  6. NSF-ECCS EAGER [1743694]
  7. NIH/NINDS [U01-099700, 3R01MH111359]
  8. NIH/NEI [R01-029022]
  9. Center for Brain Activity Mapping at UCSD
  10. UC-National Lab in-residence graduate fellowship
  11. Center for Design-Enabled Nano fabrication (C-DEN) at the University of California
  12. Center for Integrated Nanotechnologies (CINT)
  13. Directorate For Engineering
  14. Div Of Electrical, Commun & Cyber Sys [1351980] Funding Source: National Science Foundation

向作者/读者索取更多资源

The enhanced electrochemical activity of nanostructured materials is readily exploited in energy devices, but their utility in scalable and human-compatible implantable neural interfaces can significantly advance the performance of clinical and research electrodes. We utilize low-temperature selective dealloying to develop scalable and biocompatible one-dimensional platinum nanorod (PtNR) arrays that exhibit superb electrochemical properties at various length scales, stability, and biocompatibility for high performance neurotechnologies. PtNR arrays record brain activity with cellular resolution from the cortical surfaces in birds and nonhuman primates. Significantly, strong modulation of surface recorded single unit activity by auditory stimuli is demonstrated in European Starling birds as well as the modulation of local field potentials in the visual cortex by light stimuli in a nonhuman primate and responses to electrical stimulation in mice. PtNRs record behaviorally and physiologically relevant neuronal dynamics from the surface of the brain with high spatiotemporal resolution, which paves the way for less invasive brain-machine interfaces.

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