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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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Cites
Pattern Recognition with Fuzzy Objective Function Algorithms
Bezdek, J. C. (1981) · doi:10.1007/978-1-4757-0450-1 · Cited by 9,881
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761
Instant neural control of a movement signal
Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002) · Nature · doi:10.1038/416141a · Cited by 1,415
A review of methods for spike sorting: the detection and classification of neural action potentials
Lewicki, M. S. (1998) · Network Computation in Neural Systems · doi:10.1088/0954-898x_9_4_001 · Cited by 1,372
Harris, K. D., Henze, D. A., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.401 · Cited by 1,153
Stimulation of neurite outgrowth using an electrically conducting polymer
Schmidt, C. E., Shastri, V. P., Vacanti, J. P., & Langer, R. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.17.8948 · Cited by 1,072
Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893
Self-citation
Research works printed but not linked: 5
- Schmidt E, 1990, Neurophysiol. Tech., 1
- Vetter R J, 2004, IEEE Trans. Neural Syst. Rehabil. Eng., 52, 896
- 10.1088/0954-898X/9/4/001 · DOI
- Kuffler S W, 1976, A Cellular Approach to the Function of the Nervous System.
- Black J, 1999, Fundamentals of Biocompatibility
Cited by
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Items 601–638 of 638
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Achyuta, A. K. H. (2009) · doi:10.17760/d20000821
Ceyssens, F., Sree, S. P., Geerts, L., Martens, J. A., & Puers, R. (2016) · Procedia Engineering · doi:10.1016/j.proeng.2016.11.366
Biocompatible Circuits for Human–Machine Interfacing
Gabrielsson, E. O., Simon, D. T., & Magnus Berggren, A. (2017) · doi:10.1002/9783527692958.ch3
Pflüger, P., Pinnell, R., Martini, N., & Hofmann, U. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/203877
Cortical Microstimulation for Neural Prostheses
Venkatraman, S. (2010) · eScholarship (California Digital Library)
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Sullivan, R. P. (2018) · Research Online (University of Wollongong)
Advances in materials for cellular applications (Review)
Morris, J. D., & Payne, C. K. (2019) · Biointerphases · doi:10.1116/1.5083803
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Puckert, C. (2018) · Research Online (University of Wollongong)
High-performance Nanocrystal Platinum on Hierarchical Microelectrode for Biochemical Sensing
Zeng, Q., Zhang, Y., & Wu, T. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857173
Shoffstall, A. J., & Capadona, J. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816137-1.00073-8
Fiber-based pumpless flexible drug delivery system for implantable prosthesis
변재환 (2014) · Seoul National University Open Repository (Seoul National University)
Long Porous Silicon Probe Array for Neural Recordings
Hajj-Hassan, M. (2020) · Archives in Neurology & Neuroscience · doi:10.33552/ann.2020.08.000678
Probing nanoscale properties of organic conducting polymer interfaces using atomic force microscopy
Gelmi, A. A. (2012) · Research Online (University of Wollongong)
Alba, N. A. (2013) · D-Scholarship@Pitt (University of Pittsburgh)
Li, W., & Qiu, Z. (2019) · MDPI eBooks · doi:10.3390/books978-3-03921-661-1
Polyravas, A. G., Proctor, C. M., Curto, V. F., Carnicer‐Lombarte, A., Malliaras, G. G., & Barone, D. G. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_106-1
Deshmukh, A., Settell, M. L., Cheng, K. P., Knudsen, B. E., Trevathan, J. K., LaLuzerne, M., Blanz, S. L., Skubal, A. C., Verma, N., Romanauski, B., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.17.594739
Self-citationAdvances in neural information detection sensors for spatial cognition research: A review
Wang, M., Lv, S., Wang, Y., Xu, Z., Jiao, P., Liu, Y., Zhang, S., Wu, Y., Wang, M., Luo, J., et al. (2024) · Sensors and Actuators Reports · doi:10.1016/j.snr.2024.100274
Emerging Biomaterials for Retinal Implants
Italiano, M. L., Guo, T., Tsai, D., Lovell, N. H., & Shivdasani, M. N. (2025) · Royal Society of Chemistry eBooks · doi:10.1039/9781839169779-00097
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Sleight, T. W. (2010) · D-Scholarship@Pitt (University of Pittsburgh)
Мамлеев, А. Р., Suchkov, D., Malyshev, E. I., Vorobyev, A., Sitdikova, V., Силаева, В. М., Логашкин, А. Е., Kireev, A., Sorokina, M. A., Mitin, D. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.05.709791
Lecomte, A. (2016) · theses.fr (ABES) · doi:10.70675/35f1b701z4fa6z4788z8058z1632b88ad35f
Poulkouras, R. (2022) · theses.fr (ABES) · doi:10.70675/18e3c078z78a1z4e5czbd7dz301fcc213f06
Regal, S., Molet, J., Gilquin, B., Gaude, C., Ratel, D., Torres, N., Lamboux, A., Balter, V., Jolivet, L., Leprince, M., et al. (2026) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6c06839
Tailoring electrochemical and morphological properties of electropolymerized PEDOT
Meyer, N., Coricciati, C., Lemma, E. D., Rainer, A., Offenhäusser, A., Criscuolo, V., & Santoro, F. (2026) · Journal of Materials Chemistry C · doi:10.1039/d6tc01509c
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Lengefeld, K., Matamoros, E., Fernandes, C., D’Elia, F., Iachetta, G., Brauweiler‐Reuters, E., Stajković, N., Dipalo, M., Bovio, C. L., Offenhäusser, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.30.741673
Zheng, K., Yu, W., Gu, Y., He, Z., Wang, X., & Li, Y. (2026) · ACS Materials Letters · doi:10.1021/acsmaterialslett.6c00685
Programmable dendrite-inspired organic electrodes for neuronal interfacingPreprint
Santoro, F., Lengefeld, K., Matamoros, E., Fernandes, C., D’Elia, F., Iachetta, G., Brauweiler‐Reuters, E., Stajković, N., Dipalo, M., Bovio, C. L., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-11005037/v1
Dynamic disorder as an advantage for charge transport in organic mixed ionic–electronic conductors
Patrikar, K., Burke, C., & Troisi, A. (2026) · Journal of Materials Chemistry C · doi:10.1039/d6tc02271e
Electrochemical Stability of Electrodeposited PEDOT:PSS Neural Stimulation Electrodes
Azami, A., Wu, Y., Nguyen, C. K., Abbott, J., Orazem, M. E., Otto, K. J., Cogan, S. F., & Kim, B. N. (2026) · Micromachines · doi:10.3390/mi17101198
Generalizable neural decoding for clinically scalable brain-computer interfaces
Gu, Y., Yin, H., Wang, Y., Woon, Y.-Q.-V., Wang, Y., Teng, M., Lu, C., Lü, Z., & Chen, J. (2026) · npj Biomedical Innovations. · doi:10.1038/s44385-026-00119-0
Conducting polymers for implantable neural electrodes in brain–computer interfaces
Zhu, J., Liu, R., Jiang, H., Liu, X., Kong, Z., Wang, L., Xu, W., & Wang, Y. (2026) · Journal of Materials Chemistry B · doi:10.1039/d6tb01636g
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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