Name
Abstract | ||
|---|---|---|
Objective: Sub-cellular sized chronically implanted recording electrodes have demonstrated significant improvement in single-unit (SU) yield over larger recording probes. Additional work expands on this initial success by combining the subcellular fiber-like lattice structures with the design space versatility of silicon microfabrication to further improve the signal-to-noise ratio, density of electrodes, and stability of recorded units over months to years. However, ultra-small microelectrodes present very high impedance, which must be lowered for SU recordings. While poly(3,4-ethylenedioxythiophene) (PEDOT) doped with polystyrene sulfonate (PSS) coating has demonstrated great success in acute to early-chronic studies for lowering the electrode impedance, concern exists over long-term stability. Here, we demonstrate a new blend of PEDOT doped with carboxyl functionalized multi-walled carbon nanotubes (CNTs) which shows dramatic improvement over the traditional PEDOT/PSS formula. Methods: Lattice style subcellular electrode arrays were fabricated using previously established method. PEDOT was polymerized with carboxylic acid functionalized carbon nanotubes onto high impedance (8.0±0.1 MΩ: M±S.E.) 250 μm2 gold recording sites. Results: PEDOT/CNT coated subcellular electrodes demonstrated significant improvement in chronic spike recording stability over four months compared to PEDOT/PSS recording sites. Conclusion: These results demonstrate great promise for subcellular sized recording and stimulation electrodes and long-term stability. Significance: This project uses leading-edge biomaterials to develop chronic neural probes that are small (sub-cellular) with excellent electrical properties for stable long-term recordings. High density ultrasmall electrodes combined with advanced electrode surface modification are likely to make significant contributions to the development of long-term (permanent), high quality, and selective neural i- terfaces. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBME.2015.2445713 | Biomedical Engineering, IEEE Transactions |
Keywords | Field | DocType |
brain-computer interface,conductive polymer,neural interface,multi-electrode array,neuroprosthetics,impedance,lattices,electrodes,signal to noise ratio | Conductive polymer,Nanotechnology,PEDOT:PSS,Computer science,Polystyrene sulfonate,Surface modification,Carbon nanotube,Multielectrode array,Electrode,Microelectrode | Journal |
Volume | Issue | ISSN |
PP | 99 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takashi D. Y. Kozai | 1 | 0 | 0.34 |
| kasey catt | 2 | 0 | 0.34 |
| zhanhong du | 3 | 0 | 0.34 |
| kyounghwan na | 4 | 0 | 0.68 |
| Onnop Srivannavit | 5 | 2 | 1.20 |
| Razi-Ul Haque | 6 | 7 | 1.09 |
| John P Seymour | 7 | 0 | 1.69 |
| Kensall D. Wise | 8 | 297 | 67.34 |
| Euisik Yoon | 9 | 109 | 16.58 |
| xinyan tracy cui | 10 | 0 | 0.34 |