The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Sorted by citations
Items 201–300 of 638
Heim, M., Yvert, B., & Kuhn, A. (2011) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2011.10.001 · Cited by 72
Du, Z. J., Luo, X., Weaver, C. L., & Cui, X. T. (2015) · Journal of Materials Chemistry C · doi:10.1039/c5tc00145e · Cited by 70
Paramshetti, S., Angolkar, M., Fatease, A. M. A., Alshahrani, S. M., Hani, U., Garg, A., Ravi, G., & Osmani, R. A. M. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15041204 · Cited by 69
Cellot, G., Lagonegro, P., Tarabella, G., Scaini, D., Fabbri, F., Iannotta, S., Prato, M., Salviati, G., & Ballerini, L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00521 · Cited by 66
Interfacing with the Brain: How Nanotechnology Can Contribute
Ahmed, A. A. A., Alegret, N., Almeida, B., Álvarez‐Puebla, R. A., Andrews, A. M., Ballerini, L., Barrios‐Capuchino, J. J., Becker, C., Blick, R. H., Bonakdar, S., et al. (2025) · ACS Nano · doi:10.1021/acsnano.4c10525 · Cited by 71
Chen, Y., Pei, W., Chen, S., Wu, X. M., Zhao, S.-S., Wang, H., & Chen, H. (2013) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2013.07.075 · Cited by 64
Translational Neuroelectronics
Jastrzebska‐Perfect, P., Chowdhury, S., Spyropoulos, G. D., Zhao, Z., Cea, C., Gelinas, J. N., & Khodagholy, D. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201909165 · Cited by 68
Wang, C., Rubakhin, S. S., Enright, M. J., Sweedler, J. V., & Nuzzo, R. G. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202010246 · Cited by 65
Yao, C., Xie, C., Lin, P., Yan, F., Huang, P., & Hsing, I. (2013) · Advanced Materials · doi:10.1002/adma.201302615 · Cited by 64
Ouyang, L., Shaw, C. L., Kuo, C.-C., Griffin, A. L., & Martin, D. C. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/2/026005 · Cited by 65
Self-citationRyu, M., Yang, J. H., Ahn, Y., Sim, M., Lee, K. H., Kim, K.-S., Lee, T., Yoo, S., Kim, S. Y., Moon, C., et al. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b02975 · Cited by 65
Self-citationFlavopiridol reduces the impedance of neural prostheses in vivo without affecting recording quality
Purcell, E. K., Thompson, D. E., Ludwig, K. A., & Kipke, D. R. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.06.026 · Cited by 62
Self-citationLo, C., Wu, Y., Awuyah, E., Meli, D., Nguyen, D. M., Wu, R., Xu, B., Strzalka, J. W., Rivnay, J., Martin, D. C., et al. (2022) · Polymer Chemistry · doi:10.1039/d2py00271j · Cited by 63
Self-citationNeural Interfaces at The Nanoscale
Pancrazio, J. J. (2008) · Nanomedicine · doi:10.2217/17435889.3.6.823 · Cited by 64
Ganji, M., Hossain, L., Tanaka, A., Thunemann, M., Halgren, E., Gilja, V., Devor, A., & Dayeh, S. A. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201800923 · Cited by 61
Cassar, I. R., Yu, C., Sambangi, J., Lee, C. D., Whalen, J. J., Petrossians, A., & Grill, W. M. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.03.017 · Cited by 63
An Injectable Neural Stimulation Electrode Made from an In‐Body Curing Polymer/Metal Composite
Trevathan, J. K., Baumgart, I. W., Nicolai, E. N., Gosink, B. A., Asp, A. J., Settell, M. L., Polaconda, S. R., Malerick, K. D., Brodnick, S. K., Zeng, W., et al. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201900892 · Cited by 64
Self-citationLizundia, E., Sarasua, J.-R., D'Angelo, F., Orlacchio, A., Martino, S., Kenny, J. M., & Armentano, I. (2012) · Macromolecular Bioscience · doi:10.1002/mabi.201200008 · Cited by 61
High-stability conducting polymer-based conformal electrodes for bio-/iono-electronics
Yao, B., de Vasconcelos, L. S., Cui, Q., Cardenas, A., Yan, Y., Du, Y., Wu, D., Wu, S., Hsiai, T. K., Lu, N., et al. (2022) · Materials Today · doi:10.1016/j.mattod.2021.12.002 · Cited by 60
Collazos-Castro, J. E., Hernández-Labrado, G. R., Polo, J. L., & García‐Rama, C. (2013) · Biomaterials · doi:10.1016/j.biomaterials.2013.01.097 · Cited by 60
Organic Electrodes and Communications with Excitable Cells
Harris, A. R., & Wallace, G. G. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201700587 · Cited by 60
In vivo performance of a microelectrode neural probe with integrated drug delivery
Rohatgi, P., Langhals, N. B., Kipke, D. R., & Patil, P. G. (2009) · Neurosurgical FOCUS · doi:10.3171/2009.4.focus0983 · Cited by 59
Self-citationJi, B., Wang, M., Ge, C., Xie, Z., Guo, Z., Hong, W., Gu, X., Wang, L., Yi, Z., Jiang, C., et al. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.04.025 · Cited by 59
Neural Probes for Chronic Applications
Kook, G., Lee, S., Lee, H., Cho, I., & Lee, H. J. (2016) · Micromachines · doi:10.3390/mi7100179 · Cited by 61
Guarino, V., Cirillo, V., Altobelli, R., & Ambrosio, L. (2014) · Expert Review of Medical Devices · doi:10.1586/17434440.2014.953058 · Cited by 57
Early interfaced neural activity from chronic amputated nerves
Garde, K. (2009) · Frontiers in Neuroengineering · doi:10.3389/neuro.16.005.2009 · Cited by 56
Minnikanti, S., Skeath, P. R., & Peixoto, N. (2008) · Carbon · doi:10.1016/j.carbon.2008.11.045 · Cited by 56
Role of polythiophenes as electroactive materials
Pathiranage, T. M. S. K., Dissanayake, D. S., Niermann, C. N., Ren, Y., Biewer, M. C., & Stefan, M. C. (2017) · Journal of Polymer Science Part A Polymer Chemistry · doi:10.1002/pola.28726 · Cited by 58
Stiller, A. M., Usoro, J. O., Frewin, C. L., Danda, V. R., Ecker, M., Joshi‐Imre, A., Musselman, K. C., Voit, W. E., Modi, R., Pancrazio, J. J., et al. (2018) · Micromachines · doi:10.3390/mi9100500 · Cited by 56
Sultana, N., Chang, H. C., Jefferson, S., & Daniels, D. E. N. (2020) · Journal of Pharmaceutical Investigation · doi:10.1007/s40005-020-00485-w · Cited by 57
Saba, T., Saad, K. S. K., & Rashid, A. B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37976 · Cited by 58
Castagnola, E., Ansaldo, A., Maggiolini, E., Angotzi, G. N., Škrap, M., Ricci, D., & Fadiga, L. (2013) · ACS Nano · doi:10.1021/nn305164c · Cited by 55
Cytotoxic analysis of the conducting polymer PEDOT using myocytes
Miriani, R. M., Abidian, M. R., & Kipke, D. R. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649538 · Cited by 55
Self-citationOrganic bioelectronics in medicine
Löffler, S., Melican, K., Nilsson, K. P. R., & Richter‐Dahlfors, A. (2017) · Journal of Internal Medicine · doi:10.1111/joim.12595 · Cited by 58
Faveri, S. D., Maggiolini, E., Miele, E., Angelis, F. D., Cesca, F., Benfenati, F., & Fadiga, L. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00007 · Cited by 57
Aptamer-functionalized neural recording electrodes for the direct measurement of cocaine in vivo
Taylor, I. M., Du, Z. J., Bigelow, E. T., Eles, J. R., Horner, A. R., Catt, K. A., Weber, S. G., Jamieson, B. G., & Cui, X. T. (2017) · Journal of Materials Chemistry B · doi:10.1039/c7tb00095b · Cited by 53
Suarez-Perez, A., Gabriel, G., Rebollo, B., Illa, X., Guimerà‐Brunet, A., Hernández‐Ferrer, J., Martínez, M. T., Villa, R., & Sanchez-Vives, M. V. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00862 · Cited by 61
Conducting Polymers in Neural Stimulation Applications
Zhou, D. D., Cui, X. T., Hines, A., & Greenberg, R. J. (2009) · Biological and medical physics series · doi:10.1007/978-0-387-98120-8_8 · Cited by 55
Xie, Y., Martini, N., Hassler, C., Kirch, R. D., Stieglitz, T., Seifert, A., & Hofmann, U. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00034 · Cited by 52
Emerging Trends in Flexible Active Multielectrode Arrays
Lee, W., & Someya, T. (2019) · Chemistry of Materials · doi:10.1021/acs.chemmater.9b00165 · Cited by 54
Electrochemical and biological performance of chronically stimulated conductive hydrogel electrodes
Dalrymple, A. N., Robles, U. A. A., Huynh, M., Nayagam, B. A., Green, R. A., Poole-Warren, L. A., Fallon, J. B., & Shepherd, R. K. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab7cfc · Cited by 51
Niu, X., Rouabhia, M., Chiffot, N., King, M. W., & Zhang, Z. (2015) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.35408 · Cited by 50
A hybrid PDMS-Parylene subdural multi-electrode array
Ochoa, M., Wei, P., Wolley, A. J., Otto, K. J., & Ziaie, B. (2013) · Biomedical Microdevices · doi:10.1007/s10544-013-9743-2 · Cited by 50
Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology
Forró, C., Caron, D., Angotzi, G. N., Gallo, V., Berdondini, L., Santoro, F., Palazzolo, G., & Panuccio, G. (2021) · Micromachines · doi:10.3390/mi12020124 · Cited by 54
Aqrawe, Z., Wright, B. E., Patel, N. D., Vyas, Y., Malmström, J., Montgomery, J. M., Williams, D. E., Travaš‐Sejdić, J., & Svirskis, D. M. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.10.099 · Cited by 49
Tsai, M., Lin, Y.-K., & Luo, S. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b16989 · Cited by 49
Autotaxin and lysophospholipids in rheumatoid arthritis.
Bourgoin, S. G., & Zhao, C. (2010) · PubMed · Cited by 49
NanoMEA: A Tool for High-Throughput, Electrophysiological Phenotyping of Patterned Excitable Cells
Smith, A. S. T., Choi, E., Gray, K., Macadangdang, J. R., Ahn, E. H., Clark, E. C., Laflamme, M. A., Wu, J. C., Murry, C. E., Tung, L., et al. (2019) · Nano Letters · doi:10.1021/acs.nanolett.9b04152 · Cited by 49
Integrated zwitterionic conjugated poly(carboxybetaine thiophene) as a new biomaterial platform
Cao, B., Tang, Q., Li, L., Lee, C.-J., Wang, H., Zhang, Y., Castaneda, H., & Cheng, G. (2014) · Chemical Science · doi:10.1039/c4sc02200a · Cited by 48
Strategies for interface issues and challenges of neural electrodes
Liang, C., Liu, Y., Lu, W., Tian, G., Zhao, Q., Yang, D., Sun, J. W., & Qi, D. (2022) · Nanoscale · doi:10.1039/d1nr07226a · Cited by 49
Sommakia, S., Lee, H. C., Gaire, J., & Otto, K. J. (2014) · Current Opinion in Solid State and Materials Science · doi:10.1016/j.cossms.2014.07.005 · Cited by 48
Wang, L., Wang, M., Ge, C., Ji, B., Guo, Z., Wang, X., Yang, B. T., Li, C., & Liu, J. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.111661 · Cited by 49
Harris, A. R., Molino, P. J., Kapsa, R. M. I., Clark, G. M., Paolini, A. G., & Wallace, G. G. (2015) · The Analyst · doi:10.1039/c4an02362e · Cited by 46
Trinity DNA Detection Platform by Ultrasmooth and Functionalized PEDOT Biointerfaces
Luo, S., Hong, X., Chen, N., & Yu, H. (2009) · ACS Applied Materials & Interfaces · doi:10.1021/am900117e · Cited by 46
Biofunctionalization of PEDOT films with laminin-derived peptides
Bhagwat, N., Murray, R. E., Shah, S. İ., Kiick, K. L., & Martin, D. C. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.05.016 · Cited by 46
Self-citationWang, M., Ji, B., Gu, X., Tian, H., Kang, X., Yang, B. T., Wang, X., Chen, X., Li, C., & Liu, J. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.07.030 · Cited by 46
Duffy, B. A., Choy, M., Chuapoco, M. R., Madsen, M., & Lee, J. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.038 · Cited by 44
Xu, H., Weltman, A., Scholten, K., Berger, T. W., Song, D. B., & Meng, E. F. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9451 · Cited by 48
Highly Flexible Single-Unit Resolution All Printed Neural Interface on a Bioresorbable Backbone
Almasri, R. M., AlChamaa, W., Tehrani‐Bagha, A. R., & Khraiche, M. L. (2020) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c00895 · Cited by 45
Multimodal, longitudinal assessment of intracortical microstimulation
Koivuniemi, A. S., Wilks, S. J., Woolley, A. J., & Otto, K. J. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53815-4.00011-x · Cited by 44
Kinetics and Physicochemical Characteristics of Electrodeposited PEDOT:PSS Thin Film Growth
Mousavi, H., Ferrari, L. M., Whiteley, A., & Ismailova, E. (2023) · Advanced Electronic Materials · doi:10.1002/aelm.202201282 · Cited by 44
Ereifej, E. S., Smith, C. S., Meade, S. M., Chen, K., Feng, H., & Capadona, J. R. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201704420 · Cited by 45
Gu, X., Yeung, S. Y., Chadda, A., Poon, E. N.-Y., Boheler, K. R., & Hsing, I. (2018) · Advanced Biosystems · doi:10.1002/adbi.201800248 · Cited by 45
Poly(3,4-ethylenedioxythiophene) (PEDOT) Coatings for High-Quality Electromyography Recording
Rossetti, N., Luthra, P., Hagler, J., Lee, A. H. J., Bodart, C., Li, X., Ducharme, G., Soavi, F., Amilhon, B., & Cicoira, F. (2019) · ACS Applied Bio Materials · doi:10.1021/acsabm.9b00809 · Cited by 44
Living electrodes: Tissue engineering the neural interface
Green, R. A., Lim, K. S., Henderson, W. C., Hassarati, R. T., Martens, P. J., Lovell, N. H., & Poole-Warren, L. A. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611158 · Cited by 43
Improved Poly(3,4-Ethylenedioxythiophene) (PEDOT) for Neural Stimulation
Mandal, H. S., Kastee, J. S., McHail, D. G., Rubinson, J. F., Pancrazio, J. J., & Dumas, T. C. (2015) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.12285 · Cited by 43
Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies
Prins, N. W., Pohlmeyer, E. A., Debnath, S., Mylavarapu, R. V., Geng, S., Sanchez, J. C., Rothen, D., & Prasad, A. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.04.004 · Cited by 46
Meng, L., Turner, A. P. F., & Mak, W. C. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.08.017 · Cited by 43
Eles, J. R., & Kozai, T. D. Y. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.119767 · Cited by 44
Biodegradable PEDOT:PSS/Clay Composites for Multifunctional Green‐Electronic Materials
Lee, S., Hong, Y., & Shim, B. S. (2021) · Advanced Sustainable Systems · doi:10.1002/adsu.202100056 · Cited by 44
Cutaneous Recording and Stimulation of Muscles Using Organic Electronic Textiles
Papaiordanidou, M., Takamatsu, S., Rezaei‐Mazinani, S., Lonjaret, T., Martin, A., & Ismailova, E. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201600299 · Cited by 42
Yin, P., Liu, Y., Xiao, L., & Zhang, C. (2021) · Polymers · doi:10.3390/polym13162834 · Cited by 42
Nanostructured Coatings for Improved Charge Delivery to Neurons
Kozai, T. D. Y., Alba, N. A., Zhang, H., Kotov, N. A., Gaunt, R. A., & Cui, X. T. (2014) · Springer eBooks · doi:10.1007/978-1-4899-8038-0_4 · Cited by 43
Conducting polymer electrodes for auditory brainstem implants
Guex, A., Vachicouras, N., Hight, A. E., Brown, M. C., Lee, D. J., & Lacour, S. P. (2015) · Journal of Materials Chemistry B · doi:10.1039/c5tb00099h · Cited by 45
The neural tissue around SU-8 implants: A quantitative in vivo biocompatibility study
Márton, G., Tóth, E. Z., Wittner, L., Fiáth, R., Pinke, D., Orbán, G., Meszéna, D., Pál, I., Győri, E. L., Bereczki, Z., et al. (2020) · Materials Science and Engineering C · doi:10.1016/j.msec.2020.110870 · Cited by 44
All-polymeric transient neural probe for prolonged in-vivo electrophysiological recordings
Ferlauto, L., Vagni, P., Fanelli, A., Zollinger, E. G., Monsorno, K., Paolicelli, R. C., & Ghezzi, D. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120889 · Cited by 44
Lee, J., Rhew, H.-G., Kipke, D. R., & Flynn, M. (2008) · Symposium on VLSI Circuits · doi:10.1109/vlsic.2008.4585958 · Cited by 41
Self-citationShamaeli, E., & Alizadeh, N. (2014) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2014.06.036 · Cited by 40
Thompson, C. H., Riggins, T. E., Patel, P. R., Chestek, C. A., Li, W., & Purcell, E. K. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab7030 · Cited by 38
Li, X., Song, Y., Xiao, G., He, E., Xie, J., Dai, Y., Xing, Y., Wang, Y., Wang, Y., Xu, S., et al. (2021) · ACS Applied Bio Materials · doi:10.1021/acsabm.1c00923 · Cited by 40
Thin-film silica sol–gel coatings for neural microelectrodes
Pierce, A. L., Sommakia, S., Rickus, J. L., & Otto, K. J. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.02.008 · Cited by 40
Self-Closed Parylene Cuff Electrode for Peripheral Nerve Recording
Kang, X., Liu, J., Tian, H., Yang, B. T., NuLi, Y., & Yang, C. (2015) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2014.2381634 · Cited by 39
Wang, C., Brunton, E., Haghgooie, S., Cassells, K., Lowery, A. J., & Rajan, R. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046010 · Cited by 41
Recording local field potential and neuronal activity with tetrodes in epileptic patients
Despouy, E., Curot, J., Reddy, L., Nowak, L. G., Deudon, M., Sol, J., Lotterie, J.-A., Denuelle, M., Maziz, A., Bergaud, C., et al. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108759 · Cited by 47
Niederhoffer, T., Vanhoestenberghe, A., & Lancashire, H. T. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acb084 · Cited by 38
Advances in large-scale electrophysiology with high-density microelectrode arrays
Schröter, M. S., Cardes, F., Bui, C.-V. H., Dodi, L. D., Gänswein, T., Bartram, J., Sadiraj, L., Hornauer, P., Kumar, S. S., Pascual-Garcia, M., et al. (2025) · Lab on a Chip · doi:10.1039/d5lc00058k · Cited by 48
Schander, A., Tesmann, T., Strokov, S., Stemmann, H., Kreiter, A. K., & Lang, W. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7592138 · Cited by 38
PEDOT:PSS microelectrode arrays for hippocampal cell culture electrophysiological recordings
Koutsouras, D. A., Hama, A., Pas, J., Gkoupidenis, P., Hivert, B., Faivre‐Sarrailh, C., Pasquale, E. D., Owens, R. M., & Malliaras, G. G. (2017) · MRS Communications · doi:10.1557/mrc.2017.34 · Cited by 38
Dalrymple, A. N., Huynh, M., Nayagam, B. A., Lee, C. D., Weiland, G. R., Petrossians, A., John, J., Whalen, J. J., Fallon, J. B., & Shepherd, R. K. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab933d · Cited by 38
Distributed implantation of a flexible microelectrode array for neural recording
Wei, C., Wang, Y., Pei, W., Han, X., Lin, L., Liu, Z., Ming, G., Chen, R., Wu, P., Yang, X., et al. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00366-2 · Cited by 38
Yang, J., Lipkin, K., & Martin, D. C. (2007) · Journal of Biomaterials Science Polymer Edition · doi:10.1163/156856207781494359 · Cited by 38
Self-citationNormann, R. A., Dowden, B. R., Frankel, M. A., Wilder, A. M., Hiatt, S. D., Ledbetter, N. M., Warren, D. A., & Clark, G. A. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026019 · Cited by 37
Ion Gel‐Gated Quasi‐Solid‐State Vertical Organic Electrochemical Transistor and Inverter
Jeong, S. Y., Moon, J. W., Lee, S., Wu, Z., Park, S. H., Cho, J. H., & Woo, H. Y. (2023) · Advanced Electronic Materials · doi:10.1002/aelm.202300053 · Cited by 37
Bioelectronic Neural Interfaces: Improving Neuromodulation Through Organic Conductive Coatings
Duan, W., Robles, U. A. A., Poole-Warren, L. A., & Esrafilzadeh, D. (2023) · Advanced Science · doi:10.1002/advs.202306275 · Cited by 36
Hermann, J. K., Ravikumar, M., Shoffstall, A. J., Ereifej, E. S., Kovach, K. M., Chang, J. B., Soffer, A., Wong, C., Ali, A., Smith, P., et al. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaa03e · Cited by 38
Morshed, B. I. (2014) · Journal of Bioengineering and Biomedical Sciences · doi:10.4172/2155-9538.1000128 · Cited by 36
System-on-Chip Considerations for Heterogeneous Integration of CMOS and Fluidic Bio-Interfaces
Datta, T., Smela, E., & Abshire, P. (2016) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2016.2522402 · Cited by 36
Hardware Efficient Automatic Thresholding for NEO-Based Neural Spike Detection
Yang, Y., & Mason, A. J. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2580319 · Cited by 35
Recent Advances and Biomedical Applications of Peptide-Integrated Conducting Polymers
Wang, C.-C., Wei, S., & Luo, S. (2022) · ACS Applied Bio Materials · doi:10.1021/acsabm.1c01194 · Cited by 36
Small bioactive molecules as dual functional co-dopants for conducting polymers
Goding, J. A., Gilmour, A. D., Martens, P. J., Poole-Warren, L. A., & Green, R. A. (2015) · Journal of Materials Chemistry B · doi:10.1039/c5tb00384a · Cited by 36
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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review