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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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Citations
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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Keefer, E. W., Botterman, B. R., Romero, M. I., Rossi, A. F., & Gross, G. W. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.174 · Cited by 721
Kozai, T. D. Y., Langhals, N. B., Patel, P. R., Deng, X., Zhang, H., Smith, K. L., Lahann, J., Kotov, N. A., & Kipke, D. R. (2012) · Nature Materials · doi:10.1038/nmat3468 · Cited by 721
Self-citationRevealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
Conducting polymers for neural interfaces: Challenges in developing an effective long-term implant
Green, R. A., Lovell, N. H., Wallace, G. G., & Poole-Warren, L. A. (2008) · Biomaterials · doi:10.1016/j.biomaterials.2008.04.047 · Cited by 691
Gueye, M. N., Carella, A., Faure‐Vincent, J., Demadrille, R., & Simonato, J. (2019) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.100616 · Cited by 704
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Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655
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McConnell, G. C., Rees, H. D., Levey, A. I., Gutekunst, C.-A., Gross, R. E., & Bellamkonda, R. V. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/5/056003 · Cited by 480
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Ludwig, K. A., Miriani, R. M., Langhals, N. B., Joseph, M. D., Anderson, D. J., & Kipke, D. R. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90989.2008 · Cited by 426
Self-citationMultifunctional Nanobiomaterials for Neural Interfaces
Abidian, M. R., & Martin, D. C. (2009) · Advanced Functional Materials · doi:10.1002/adfm.200801473 · Cited by 427
Self-citationAbidian, M. R., Corey, J. M., Kipke, D. R., & Martin, D. C. (2010) · Small · doi:10.1002/smll.200901868 · Cited by 405
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Jorfi, M., Skousen, J. L., Weder, C., & Capadona, J. R. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/011001 · Cited by 384
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Khodagholy, D., Doublet, T., Gurfinkel, M., Quilichini, P., Ismailova, E., Leleux, P., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G. (2011) · Advanced Materials · doi:10.1002/adma.201102378 · Cited by 371
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Ning, C., Zhou, Z., Tan, G., Zhu, Y., & Mao, C. (2018) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2018.01.001 · Cited by 346
Chung, J. E., Joo, H. R., Fan, J. L., Liu, D. F., Barnett, A. H., Chen, S., Geaghan-Breiner, C., Karlsson, M. P., Karlsson, M., Lee, K. Y., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.002 · Cited by 339
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Self-citationPoly (3,4-Ethylenedioxythiophene) for Chronic Neural Stimulation
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Pires, F., Ferreira, Q., Rodrigues, C. A. V., Morgado, J., & Ferreira, F. C. (2015) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2015.01.020 · Cited by 276
Conducting polymer-hydrogels for medical electrode applications
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Asplund, M., Nyberg, T., & Inganäs, O. (2010) · Polymer Chemistry · doi:10.1039/c0py00077a · Cited by 195
Electrochemical polymerization of conducting polymers in living neural tissue
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Self-citationKozai, T. D. Y., & Kipke, D. R. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.08.002 · Cited by 186
Self-citationSputtered iridium oxide films for neural stimulation electrodes
Cogan, S. F., Ehrlich, J., Plante, T. D., Smirnov, A., Shire, D. B., Gingerich, M. D., & Rizzo, J. F. (2008) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.31223 · Cited by 188
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Laser-induced wet stability and adhesion of pure conducting polymer hydrogels
Won, D., Kim, H., Kim, J., Kim, H., Kim, M. W., Ahn, J., Min, K., Lee, Y., Hong, S., Choi, J., et al. (2024) · Nature Electronics · doi:10.1038/s41928-024-01161-9 · Cited by 189
Flexible, Penetrating Brain Probes Enabled by Advances in Polymer Microfabrication
Weltman, A., Yoo, J. J., & Meng, E. F. (2016) · Micromachines · doi:10.3390/mi7100180 · Cited by 192
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Ouyang, L., Wei, B., Kuo, C.-C., Pathak, S., Farrell, B. P., & Martin, D. C. (2017) · Science Advances · doi:10.1126/sciadv.1600448 · Cited by 184
Self-citationKung, T. A., Langhals, N. B., Martin, D. C., Johnson, P. J., Cederna, P. S., & Urbanchek, M. G. (2014) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000000168 · Cited by 181
Self-citationAbiotic-biotic characterization of Pt/Ir microelectrode arrays in chronic implants
Prasad, A., Xue, Q.-S., Dieme, R., Sankar, V., Mayrand, R. C., Nishida, T., Streit, W. J., & Sanchez, J. C. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00002 · Cited by 178
Takmakov, P. A., Ruda, K., Phillips, K. S., Isayeva, I. S., Krauthamer, V., & Welle, C. G. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/2/026003 · Cited by 183
Organic Bioelectronics: From Functional Materials to Next‐Generation Devices and Power Sources
Ohayon, D., & Inal, S. (2020) · Advanced Materials · doi:10.1002/adma.202001439 · Cited by 178
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Zhu, B., Luo, S., Zhao, H., Lin, H., Sekine, J., Nakao, A., Chen, C., Yamashita, Y., & Yu, H. (2014) · Nature Communications · doi:10.1038/ncomms5523 · Cited by 177
Winslow, B. D., Christensen, M. B., Yang, W.-K., Solzbacher, F., & Tresco, P. A. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.05.050 · Cited by 171
Szostak, K. M., Grand, L., & Constandinou, T. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00665 · Cited by 183
Organic Bioelectronics: Materials and Biocompatibility
Feron, K., Lim, R., Sherwood, C. P., Keynes, A., Brichta, A. M., & Dastoor, P. C. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19082382 · Cited by 177
Azemi, E., Lagenaur, C. F., & Cui, X. T. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2010.09.033 · Cited by 164
Patel, P. R., Na, K., Zhang, H., Kozai, T. D. Y., Kotov, N. A., Yoon, E., & Chestek, C. A. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/4/046009 · Cited by 165
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Xiang, Z., Yen, S.-C., Xue, N., Sun, T., Tsang, W. M., Zhang, S., Liao, L., Thakor, N. V., & Lee, C. (2014) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/24/6/065015 · Cited by 157
Vomero, M., Castagnola, E., Ciarpella, F., Maggiolini, E., Goshi, N., Zucchini, E., Carli, S., Fadiga, L., Kassegne, S., & Ricci, D. (2017) · Scientific Reports · doi:10.1038/srep40332 · Cited by 167
Quantifying long-term microelectrode array functionality using chronic in vivo impedance testing
Prasad, A., & Sanchez, J. C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026028 · Cited by 164
Chapman, C. A. R., Chen, H., Stamou, M., Biener, J., Biener, M. M., Lein, P. J., & Şeker, E. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b00410 · Cited by 150
Creating low-impedance tetrodes by electroplating with additives
Ferguson, J. E., Boldt, C., & Redish, A. D. (2009) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2009.10.001 · Cited by 147
High Performance Conducting Polymer Nanofiber Biosensors for Detection of Biomolecules
Yang, G. C., Kampstra, K. L., & Abidian, M. R. (2014) · Advanced Materials · doi:10.1002/adma.201400753 · Cited by 142
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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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