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Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film
Open accessAbstract
Conductive polymer coatings can be used to modify traditional electrode recording sites with the intent of improving the long-term performance of cortical microelectrodes. Conductive polymers can drastically decrease recording site impedance, which in turn is hypothesized to reduce thermal noise and signal loss through shunt pathways. Moreover, conductive polymers can be seeded with agents aimed at promoting neural growth toward the recording sites or minimizing the inherent immune response. The end goal of these efforts is to generate an ideal long-term interface between the recording electrode and surrounding tissue. The goal of this study was to refine a method to electrochemically deposit surfactant-templated ordered poly(3,4-ethylenedioxythiophene) (PEDOT) films on the recording sites of standard 'Michigan' probes and to evaluate the efficacy of these modified sites in recording chronic neural activity. PEDOT-coated site performance was compared to control sites over a six-week evaluation period in terms of impedance spectroscopy, signal-to-noise ratio, number of viable unit potentials recorded and local field potential recordings. PEDOT sites were found to outperform control sites with respect to signal-to-noise ratio and number of viable unit potentials. The benefit of reduced initial impedance, however, was mitigated by the impedance contribution of typical silicon electrode encapsulation. Coating sites with PEDOT also reduced the amount of low-frequency drift evident in local field potential recordings. These findings indicate that electrode sites electrochemically deposited with PEDOT films are suitable for recording neural activity in vivo for extended periods. This study also provided a unique opportunity to monitor how neural recording characteristics develop over the six weeks following implantation.
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Device Materials, Handling, and Upgradability
Kast, J., Molnar, G., & Lent, M. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-381409-8.00009-7
Metadata
- Authors
- Ludwig, K. A., Uram, J. D., Yang, J., Martin, D. C., & Kipke, D. R.
- Affiliations
- University of Michigan (US)
- Dow Chemical (United States) (US)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2006-03-01
- Volume
- 3
- Issue
- 1
- Pages
- 59-70
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2057005089
- Cited by
- 638
- References
- 55
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 24 · 2023: 22 · 2022: 23 · 2021: 37 · 2020: 34 · 2019: 39 · 2018: 52 · 2017: 57 · 2016: 42 · 2015: 51 · 2014: 38 · 2013: 32 · 2012: 24
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Science Foundation (9986866, 0518079, 0084304)
- University of Michigan
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (N01 NS 12338)
- Division of Materials Research
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- PEDOT, conducting polymer coatings, chronic neural recording, electrodeposition, electrode impedance, signal-to-noise ratio, local field potentials, low-frequency drift
- MeSH terms
- Action Potentials, Animals, Electrochemistry, Electrodes, Implanted, Equipment Design, Male, Membranes, Artificial, Microelectrodes, Motor Cortex, Neurons, Polymers, Silicon, Time Factors, Rats, Sprague-Dawley, Monitoring, Ambulatory, Bridged Bicyclo Compounds, Heterocyclic, Equipment Failure Analysis, Coated Materials, Biocompatible, Rats
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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