Cited by 204Neuroscience and Neural EngineeringElectrochemical sensors and biosensorsConducting polymers and applications

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Chronic in vivo stability assessment of carbon fiber microelectrode arrays

Open access

Patel, Paras R, Zhang, Huanan, Robbins, Matthew T, Nofar, Justin B, Marshall, Shaun P, Kobylarek, Michael J, Kozai, Takashi D Y, Kotov, Nicholas A, Chestek, Cynthia A·2016·Journal of Neural Engineering

DOI 10.1088/1741-2560/13/6/066002PMC PMC5118062

Open this paper in CoChat — free account

Abstract

OBJECTIVE: Individual carbon fiber microelectrodes can record unit activity in both acute and semi-chronic (∼1 month) implants. Additionally, new methods have been developed to insert a 16 channel array of carbon fiber microelectrodes. Before assessing the in vivo long-term viability of these arrays, accelerated soak tests were carried out to determine the most stable site coating material. Next, a multi-animal, multi-month, chronic implantation study was carried out with carbon fiber microelectrode arrays and silicon electrodes. APPROACH: Carbon fibers were first functionalized with one of two different formulations of PEDOT and subjected to accelerated aging in a heated water bath. After determining the best PEDOT formula to use, carbon fiber arrays were chronically implanted in rat motor cortex. Some rodents were also implanted with a single silicon electrode, while others received both. At the end of the study a subset of animals were perfused and the brain tissue sliced. Tissue sections were stained for astrocytes, microglia, and neurons. The local reactive responses were assessed using qualitative and quantitative methods. MAIN RESULTS: Electrophysiology recordings showed the carbon fibers detecting unit activity for at least 3 months with average amplitudes of ∼200 μV. Histology analysis showed the carbon fiber arrays with a minimal to non-existent glial scarring response with no adverse effects on neuronal density. Silicon electrodes showed large glial scarring that impacted neuronal counts. SIGNIFICANCE: This study has validated the use of carbon fiber microelectrode arrays as a chronic neural recording technology. These electrodes have demonstrated the ability to detect single units with high amplitude over 3 months, and show the potential to record for even longer periods. In addition, the minimal reactive response should hold stable indefinitely, as any response by the immune system may reach a steady state after 12 weeks.

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

Crossref · 10.1088/1741-2560/13/6/066002

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585
AChE-stained horizontal sections of the rat brain in stereotaxic coordinates
Paxinos, G., WATSON, C. R. R., & Emson, P. C. (1980) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(80)90021-7 · Cited by 4,514
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
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
High-performance neuroprosthetic control by an individual with tetraplegia
Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848
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
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591
Neuron-type-specific signals for reward and punishment in the ventral tegmental area
Cohen, J. Y., Haesler, S., Vong, L., Lowell, B. B., & Uchida, N. (2012) · Nature · doi:10.1038/nature10754 · Cited by 1,318
Neuronal cell loss accompanies the brain tissue response to chronically implanted silicon microelectrode arrays
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893

Show all 77 references

Research works printed but not linked: 2

2011, 10.1520/F1980-07R11 · DOI
Kozai, 2014, Chronic tissue response to carboxymethyl cellulose based dissolvable insertion needle for ultra-small neural probes, Biomaterials, 35, 9255, 10.1016/j.biomaterials.2014.07.039 · DOI · Paper page

Sorted by citations

Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prosthetics
Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641
A Materials Roadmap to Functional Neural Interface Design
Wellman, S. M., Eles, J. R., Ludwig, K. A., Seymour, J. P., Michelson, N. J., McFadden, W. E., Vazquez, A. L., & Kozai, T. D. Y. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701269 · Cited by 389
Self-citation
Adaptive and multifunctional hydrogel hybrid probes for long-term sensing and modulation of neural activity
Park, S., Yuk, H., Zhao, R., Yim, Y. S., Woldeghebriel, E. W., Kang, J., Canales, A., Fink, Y., Choi, G. B., Zhao, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23802-9 · Cited by 312
Next-generation interfaces for studying neural function
Frank, J. A., Antonini, M.-J., & Anikeeva, P. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0198-8 · Cited by 241
Ultrasoft microwire neural electrodes improve chronic tissue integration
Du, Z. J., Kolarcik, C. L., Kozai, T. D. Y., Luebben, S. D., Sapp, S. A., Zheng, X. S., Nabity, J., & Cui, X. T. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2017.02.010 · Cited by 214
Self-citation
Massively parallel microwire arrays integrated with CMOS chips for neural recording
Obaid, A., Hanna, M.-E., Wu, Y., Köllő, M., Rácz, R., Angle, M. R., Müller, J., Brackbill, N., Wray, W., Franke, F., et al. (2020) · Science Advances · doi:10.1126/sciadv.aay2789 · Cited by 201
Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics
Mikhaylov, A. N., Pimashkin, A. S., Pigareva, Y., Gerasimova, S. A., Gryaznov, E. G., Shchanikov, S., Zuev, A. D., Talanov, M. O., Lavrov, I. A., Demin, V. A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00358 · Cited by 189
Slow insertion of silicon probes improves the quality of acute neuronal recordings
Fiáth, R., Márton, A. L., Mátyás, F., Pinke, D., Márton, G., Tóth, K., & Ulbert, I. (2019) · Scientific Reports · doi:10.1038/s41598-018-36816-z · Cited by 168
Translational opportunities and challenges of invasive electrodes for neural interfaces
Shen, K., Chen, O., Edmunds, J. L., Piech, D. K., & Maharbiz, M. M. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01021-5 · Cited by 150
Multi-scale, multi-modal analysis uncovers complex relationship at the brain tissue-implant neural interface: new emphasis on the biological interface
Michelson, N. J., Vazquez, A. L., Eles, J. R., Salatino, J. W., Purcell, E. K., Williams, J. J., Cui, X. T., & Kozai, T. D. Y. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9dae · Cited by 126
Self-citation
Flexible fiber-based optoelectronics for neural interfaces
Park, S., Loke, G. Z. J., Fink, Y., & Anikeeva, P. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00710a · Cited by 135
Guidelines to Study and Develop Soft Electrode Systems for Neural Stimulation
Schiavone, G., Kang, X., Fallegger, F., Gandar, J., Courtine, G., & Lacour, S. P. (2020) · Neuron · doi:10.1016/j.neuron.2020.10.010 · Cited by 125
Neuroadhesive L1 coating attenuates acute microglial attachment to neural electrodes as revealed by live two-photon microscopy
Eles, J. R., Vazquez, A. L., Snyder, N. R., Lagenaur, C. F., Murphy, M. C., Kozai, T. D. Y., & Cui, X. T. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.10.054 · Cited by 117
Self-citation
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
Nason, S. R., Vaskov, A. K., Willsey, M. S., Welle, E. J., An, H., Vu, P. P., Bullard, A. J., Nu, C. S., Kao, J. C., Shenoy, K. V., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0591-0 · Cited by 113
Self-citation
A Review: Electrode and Packaging Materials for Neurophysiology Recording Implants
Yang, W., Gong, Y. P., & Li, W. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.622923 · Cited by 109
Multifunctional Fibers as Tools for Neuroscience and Neuroengineering
Canales, A., Park, S., Kilias, A., & Anikeeva, P. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.7b00558 · Cited by 103
Challenges and Opportunities of Implantable Neural Interfaces: From Material, Electrochemical and Biological Perspectives
Zeng, Q., & Huang, Z. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202301223 · Cited by 104
Recent advances in neural electrode–tissue interfaces
Woeppel, K., Yang, Q., & Cui, X. T. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.09.003 · Cited by 99
Open source silicon microprobes for high throughput neural recording
Yang, L., Lee, K., Villagracia, J., & Masmanidis, S. C. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab581a · Cited by 93
Recent development of implantable and flexible nerve electrodes
Shi, Y., Liu, R., He, L. M., Feng, H., Li, Y., & Li, Z. (2020) · Smart Materials in Medicine · doi:10.1016/j.smaim.2020.08.002 · Cited by 93
In vivo imaging of neuronal calcium during electrode implantation: Spatial and temporal mapping of damage and recovery
Eles, J. R., Vazquez, A. L., Kozai, T. D. Y., & Cui, X. T. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.04.043 · Cited by 86
Self-citation
Amorphous silicon carbide ultramicroelectrode arrays for neural stimulation and recording
Deku, F., Cohen, Y., Joshi-Imre, A., Kanneganti, A., Gardner, T. J., & Cogan, S. F. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8f8b · Cited by 89
High-density soft bioelectronic fibres for multimodal sensing and stimulation
Khatib, M., Zhao, E. T., Wei, S., Park, J., Abramson, A., Bishop, E. S., Thomas, A.-L. A., Chen, C.-H., Emengo, P. O., Xu, C., et al. (2025) · Nature · doi:10.1038/s41586-025-09481-2 · Cited by 91
Unique electrophysiological and impedance signatures between encapsulation types: An analysis of biological Utah array failure and benefit of a biomimetic coating in a rat model
Cody, P. A., Eles, J. R., Lagenaur, C. F., Kozai, T. D. Y., & Cui, X. T. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.01.025 · Cited by 87
Self-citation
Neural tissue-microelectrode interaction: Brain micromotion, electrical impedance, and flexible microelectrode insertion
Sharafkhani, N., Kouzani, A. Z., Adams, S. D., Long, J. M., Lissorgues, G., Rousseau, L., & Orwa, J. O. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109388 · Cited by 86
Electrode Materials for Chronic Electrical Microstimulation
Zheng, X. S., Tan, C., Castagnola, E., & Cui, X. T. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100119 · Cited by 90
Multimaterial and multifunctional neural interfaces: from surface-type and implantable electrodes to fiber-based devices
Sung, C., Jeon, W., Nam, K. S., Kim, Y., Butt, H., & Park, S. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00872a · Cited by 87
The State of the NIH BRAIN Initiative
Koroshetz, W. J., Gordon, J. A., Adams, A. B., Beckel-Mitchener, A. C., Churchill, J. D., Farber, G. K., Freund, M. P., Gnadt, J., Hsu, N. S., Langhals, N. B., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3174-17.2018 · Cited by 80
Carbon-based neural electrodes: promises and challenges
Devi, M., Vomero, M., Fuhrer, E., Castagnola, E., Gueli, C., Nimbalkar, S., Hirabayashi, M., Kassegne, S., Stieglitz, T., & Sharma, S. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac1e45 · Cited by 82
Long-term recording reliability of liquid crystal polymer µ ECoG arrays
Woods, V., Trumpis, M., Bent, B., Palopoli-Trojani, K., Chiang, C.-H., Wang, C., Yu, C., Insanally, M. N., Froemke, R. C., & Viventi, J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae39d · Cited by 63
The “sewing machine” for minimally invasive neural recordingPreprint
Hanson, T., Diaz-Botia, C. A., Kharazia, V., Maharbiz, M. M., & Sabes, P. N. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/578542 · Cited by 68
Advances in Carbon-Based Microfiber Electrodes for Neural Interfacing
Hejazi, M., Tong, W., Ibbotson, M. R., Prawer, S., & Garrett, D. J. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.658703 · Cited by 77
A comparison of insertion methods for surgical placement of penetrating neural interfaces
Thielen, B., & Meng, E. F. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abf6f2 · Cited by 78
Ultra-small carbon fiber electrode recording site optimization and improved in vivo chronic recording yield
Welle, E. J., Patel, P. R., Woods, J. E., Petrossians, A., della Valle, E., Vega-Medina, A., Richie, J. M., Cai, D., Weiland, J. D., & Chestek, C. A. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab8343 · Cited by 68
Self-citation
Soft pin-shaped dry electrode with bristles for EEG signal measurements
Gao, K., Yang, H.-J., Wang, X., Yang, B. T., & Liu, J. (2018) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2018.09.045 · 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
Hybrid diamond/ carbon fiber microelectrodes enable multimodal electrical/chemical neural interfacing
Hejazi, M. A., Tong, W., Stacey, A. D., Soto-Breceda, A., Ibbotson, M. R., Yunzab, M., Maturana, M. I., Almasi, A., Jung, Y. J., Sun, S. H., et al. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119648 · Cited by 66
Monolithic and Scalable Au Nanorod Substrates Improve PEDOT–Metal Adhesion and Stability in Neural Electrodes
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
Self-assembled multifunctional neural probes for precise integration of optogenetics and electrophysiology
Zou, L., Tian, H., Guan, S., Ding, J., Gao, L., Wang, J., & Fang, Y. (2021) · Nature Communications · doi:10.1038/s41467-021-26168-0 · Cited by 60
Multi-channel intraneural vagus nerve recordings with a novel high-density carbon fiber microelectrode array
Jiman, A. A., Ratze, D. C., Welle, E. J., Patel, P. R., Richie, J. M., Bottorff, E. C., Seymour, J. P., Chestek, C. A., & Bruns, T. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-72512-7 · Cited by 57
Self-citation
High density carbon fiber arrays for chronic electrophysiology, fast scan cyclic voltammetry, and correlative anatomy
Patel, P. R., Popov, P., Caldwell, C. M., Welle, E. J., Egert, D., Pettibone, J. R., Roossien, D. H., Becker, J. B., Berke, J. D., Chestek, C. A., et al. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb1f6 · Cited by 57
Self-citation
64-Channel Carbon Fiber Electrode Arrays for Chronic Electrophysiology
Guitchounts, G., & Cox, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-60873-y · Cited by 52
Novel diamond shuttle to deliver flexible neural probe with reduced tissue compression
Na, K., Sperry, Z. J., Lu, J., Vöröslakos, M., Parizi, S. S., Bruns, T. M., Yoon, E., & Seymour, J. P. (2020) · Microsystems & Nanoengineering · doi:10.1038/s41378-020-0149-z · Cited by 51
Ultra-miniature ultra-compliant neural probes with dissolvable delivery needles: design, fabrication and characterization
Khilwani, R., Gilgunn, P. J., Kozai, T. D. Y., Ong, X. C., Korkmaz, E., Gunalan, P. K., Cui, X. T., Fedder, G. K., & Özdoğanlar, O. B. (2016) · Biomedical Microdevices · doi:10.1007/s10544-016-0125-4 · Cited by 51
Self-citation
Nano-Architectural Approaches for Improved Intracortical Interface Technologies
Kim, Y., Meade, S. M., Chen, K., He, F., Rayyan, J., Hess‐Dunning, A., & Ereifej, E. S. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00456 · Cited by 56
Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory cortices
Patel, P. R., Welle, E. J., Letner, J. G., Shen, H., Bullard, A. J., Caldwell, C. M., Vega-Medina, A., Richie, J. M., Thayer, H. E., Patil, P. G., et al. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acab86 · Cited by 49
Self-citation
Engineering strategies towards overcoming bleeding and glial scar formation around neural probes
Otte, E., Vlachos, A., & Asplund, M. (2022) · Cell and Tissue Research · doi:10.1007/s00441-021-03567-9 · Cited by 54
Autotaxin and lysophospholipids in rheumatoid arthritis.
Bourgoin, S. G., & Zhao, C. (2010) · PubMed · Cited by 49
26.9 A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry
Lim, J., Moon, E., Barrow, M., Nason, S. R., Patel, P. R., Patil, P. G., Oh, S., Lee, I., Kim, H.-S., Sylvester, D., et al. (2020) · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · doi:10.1109/isscc19947.2020.9063005 · Cited by 49
Self-citation
Physiological properties of brain-machine interface input signals
Slutzky, M. W., & Flint, R. D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00070.2017 · Cited by 47
Ultraflexible and Stretchable Intrafascicular Peripheral Nerve Recording Device with Axon‐Dimension, Cuff‐Less Microneedle Electrode Array
Yan, D., Jiman, A. A., Bottorff, E. C., Patel, P. R., Meli, D., Welle, E. J., Ratze, D. C., Havton, L. A., Chestek, C. A., Kemp, S. W. P., et al. (2022) · Small · doi:10.1002/smll.202200311 · Cited by 44
Self-citation
In vivo imaging of calcium and glutamate responses to intracortical microstimulation reveals distinct temporal responses of the neuropil and somatic compartments in layer II/III neurons
Eles, J. R., & Kozai, T. D. Y. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.119767 · Cited by 44
Self-citation
Carbon microelectrodes with customized shapes for neurotransmitter detection: A review
Shao, Z., Chang, Y., & Venton, B. J. (2022) · Analytica Chimica Acta · doi:10.1016/j.aca.2022.340165 · Cited by 42
Toward Long-Term Communication With the Brain in the Blind by Intracortical Stimulation: Challenges and Future Prospects
Fernández, E., Alfaro, A., & González-López, P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00681 · Cited by 35
Toward guiding principles for the design of biologically-integrated electrodes for the central nervous system
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
Self-citation
Why Neurotechnologies? About the Purposes, Opportunities and Limitations of Neurotechnologies in Clinical Applications
Stieglitz, T. (2019) · Neuroethics · doi:10.1007/s12152-019-09406-7 · Cited by 42
Toward Nontransient Silk Bioelectronics: Engineering Silk Fibroin for Bionic Links
Patil, A. C., Xiong, Z., & Thakor, N. V. (2020) · Small Methods · doi:10.1002/smtd.202000274 · Cited by 37
A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry
Lim, J., Lee, J., Moon, E., Barrow, M., Atzeni, G., Letner, J. G., Costello, J. T., Nason, S. R., Patel, P. R., Sun, Y., et al. (2022) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2022.3141688 · Cited by 38
Self-citation
Carbon fiber electrodes for intracellular recording and stimulation
Huan, Y., Gill, J. P., Fritzinger, J. B., Patel, P. R., Richie, J. M., della Valle, E., Weiland, J. D., Chestek, C. A., & Chiel, H. J. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac3dd7 · Cited by 35
Self-citation
Characterization of the Neuroinflammatory Response to Thiol-ene Shape Memory Polymer Coated Intracortical Microelectrodes
Shoffstall, A. J., Ecker, M., Danda, V. R., Joshi‐Imre, A., Stiller, A. M., Yu, M. H., Paiz, J. E., Mancuso, E., Bedell, H. W., Voit, W., et al. (2018) · Micromachines · doi:10.3390/mi9100486 · Cited by 35
Bioinspired materials and systems for neural interfacing
Shoffstall, A. J., & Capadona, J. R. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.05.002 · Cited by 34
A soft, high-density neuroelectronic array
Seo, K. J., Hill, M., Ryu, J., Chiang, C., Rachinskiy, I., Qiang, Y., Jang, D., Trumpis, M., Wang, C., Viventi, J., et al. (2023) · npj Flexible Electronics · doi:10.1038/s41528-023-00271-2 · Cited by 33
The future of upper extremity rehabilitation robotics: research and practice
Vu, P. P., Chestek, C. A., Nason, S. R., Kung, T. A., Kemp, S. W. P., & Cederna, P. S. (2020) · Muscle & Nerve · doi:10.1002/mus.26860 · Cited by 33
Self-citation
All-Diamond Microfiber Electrodes for Neurochemical Analysis
Rusinek, C. A., Guo, Y., Rechenberg, R., Becker, M., Purcell, E. K., Verber, M., McKinney, C., & Li, W. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0141812jes · Cited by 31
Bioinspired flexible electronics for seamless neural interfacing and chronic recording
Li, H., Wang, J., & Fang, Y. Z. (2020) · Nanoscale Advances · doi:10.1039/d0na00323a · Cited by 31
Intracortical Microelectrode Array Unit Yield under Chronic Conditions: A Comparative Evaluation
Usoro, J. O., Sturgill, B. S., Musselman, K. C., Capadona, J. R., & Pancrazio, J. J. (2021) · Micromachines · doi:10.3390/mi12080972 · Cited by 34
Accurate and Stable Chronic Voltammetric Measurements in the Brain Enabled by a Replaceable Subcutaneous Reference Electrode
Robbins, E. M., Castagnola, E., & Cui, X. T. (2021) · iScience · doi:10.1016/j.isci.2022.104845 · Cited by 31
Intracortical Neural Stimulation With Untethered, Ultrasmall Carbon Fiber Electrodes Mediated by the Photoelectric Effect
Stocking, K. C., Vazquez, A. L., & Kozai, T. D. Y. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2018.2889832 · Cited by 29
Self-citation
Biomechanics and neural control of movement, 20 years later: what have we learned and what has changed?
Nordin, A. D., Rymer, W. Z., Biewener, A. A., Schwartz, A. B., Chen, D., & Horak, F. B. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0298-y · Cited by 32
Longitudinal neural and vascular structural dynamics produced by chronic microelectrode implantation
Welle, C. G., Gao, Y., Ye, M., Lozzi, A., Boretsky, A. R., Abliz, E., & Hammer, D. X. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.119831 · Cited by 27
Sharpened and Mechanically Durable Carbon Fiber Electrode Arrays for Neural Recording
Welle, E. J., Woods, J. E., Jiman, A. A., Richie, J. M., Bottorff, E. C., Ouyang, Z., Seymour, J. P., Patel, P. R., Bruns, T. M., & Chestek, C. A. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3082056 · Cited by 29
Self-citation
Ultra-sensitive measurement of brain penetration with microscale probes for brain machine interface considerationsPreprint
Obaid, A., Wu, Y., Hanna, M., Nix, W. D., Ding, J., & Melosh, N. A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/454520 · Cited by 30
Design Choices for Next-Generation Neurotechnology Can Impact Motion Artifact in Electrophysiological and Fast-Scan Cyclic Voltammetry Measurements
Nicolai, E. N., Michelson, N. J., Settell, M. L., Hara, S. A., Trevathan, J. K., Asp, A. J., Stocking, K. C., Luján, J. L., Kozai, T. D. Y., & Ludwig, K. A. (2018) · Micromachines · doi:10.3390/mi9100494 · Cited by 26
Self-citation
Electrochemical characteristics of ultramicro-dimensioned SIROF electrodes for neural stimulation and recording
Ghazavi, A., Maeng, J., Black, M., Salvi, S., & Cogan, S. F. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab52ab · Cited by 28
Ultrasensitive measurement of brain penetration mechanics and blood vessel rupture with microscale probes
Obaid, A., Hanna, M.-E., Huang, S.-W., Hu, Y.-T., Jáidar, O., Nix, W. D., Ding, J., Melosh, N. A., & Wu, Y. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2529147123 · Cited by 26
Interpreting Dynamic Interfacial Changes at Carbon Fiber Microelectrodes Using Electrochemical Impedance Spectroscopy
Meunier, C. J., Denison, J. D., McCarty, G. S., & Sombers, L. A. (2020) · Langmuir · doi:10.1021/acs.langmuir.9b03941 · Cited by 28
Improving Deep Brain Stimulation Electrode Performance in vivo Through Use of Conductive Hydrogel Coatings
Hyakumura, T., Robles, U. A. A., Duan, W., Villalobos, J., Adams, W. K., Poole-Warren, L. A., & Fallon, J. B. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.761525 · Cited by 26
The History and Horizons of Microscale Neural Interfaces
Kozai, T. D. Y. (2018) · Micromachines · doi:10.3390/mi9090445 · Cited by 29
Self-citation
Insertion mechanics of amorphous SiC ultra-micro scale neural probes
Geramifard, N., Dousti, B., Nguyen, C. K., Abbott, J., Cogan, S. F., & Varner, V. D. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac5bf4 · Cited by 24
Long-term recording performance and biocompatibility of chronically implanted cylindrically-shaped, polymer-based neural interfaces
Fiáth, R., Hofer, K. T., Csikós, V., Horváth, D., Nánási, T., Tóth, K., Pothof, F., Böhler, C., Asplund, M., Ruther, P., et al. (2018) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0154 · Cited by 25
Electrode sharpness and insertion speed reduce tissue damage near high-density penetrating arrays
McNamara, I., Wellman, S. M., Li, L., Eles, J. R., Savya, S. P., Sohal, H. S., Angle, M. R., & Kozai, T. D. Y. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad36e1 · Cited by 24
Self-citation
The Role of Toll-Like Receptor 2 and 4 Innate Immunity Pathways in Intracortical Microelectrode-Induced Neuroinflammation
Hermann, J. K., Lin, S., Soffer, A., Wong, C., Ali, A., Chang, J. B., Sunil, S., Sudhakar, S., Tomaszewski, W. H., Protasiewicz, G., et al. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00113 · Cited by 23
Carbon-Fiber Based Microelectrode Array Embedded with a Biodegradable Silk Support for In Vivo Neural Recording
Lee, Y., Kong, C., Chang, J. W., & Jun, S. B. (2019) · Journal of Korean Medical Science · doi:10.3346/jkms.2019.34.e24 · Cited by 23
Timed Electrodeposition of PEDOT:Nafion onto Carbon Fiber-Microelectrodes Enhances Dopamine Detection in Zebrafish Retina
Cho, W., Liu, F., Hendrix, A., McCray, B., Asrat, T., CONNAUGHTON, V. P., & Zestos, A. G. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/aba33d · Cited by 22
Electrodeposited Platinum Iridium Enables Microstimulation With Carbon Fiber Electrodes
della Valle, E., Koo, B., Patel, P. R., Whitsitt, Q. A., Purcell, E. K., Chestek, C. A., & Weiland, J. D. (2021) · Frontiers in Nanotechnology · doi:10.3389/fnano.2021.782883 · Cited by 21
Self-citation
Lifetime engineering of bioelectronic implants with mechanically reliable thin film encapsulations
Niemiec, M., & Kim, K. (2023) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ad0b19 · Cited by 22
Flexible High-Resolution Force and Dimpling Measurement System for Pia and Dura Penetration During In Vivo Microelectrode Insertion Into Rat Brain
Chen, L., Hartner, J. P., Dong, T., Li, A. D. R., Watson, B. O., & Shih, A. J. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3070781 · Cited by 21
Carbon-Based Fiber Materials as Implantable Depth Neural Electrodes
Fu, X., Li, G., Niu, Y., Xu, J., Wang, P., Zhou, Z., Ye, Z., Liu, X., Xu, Z. J., Yang, Z., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.771980 · Cited by 22
High Fidelity Bidirectional Neural Interfacing with Carbon Fiber Microelectrodes Coated with Boron‐Doped Carbon Nanowalls: An Acute Study
Hejazi, M. A., Tong, W., Stacey, A. D., Sun, S. H., Yunzab, M., Almasi, A., Jung, Y. J., Hamish Meffin, A., Fox, K. E., Edalati, K., et al. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202006101 · Cited by 21
Integrated optoelectronic microprobes
Rudmann, L., Alt, M. T., Vajari, D. A., & Stieglitz, T. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.01.010 · Cited by 20
Penetrating glassy carbon neural electrode arrays for brain-machine interfaces
Chen, B., Zhang, B., Chen, C., Hu, J., Qi, J., He, T., Tian, P. W., Zhang, X., Ni, G., & Cheng, M. M. (2020) · Biomedical Microdevices · doi:10.1007/s10544-020-00498-0 · Cited by 21
Pseudoautosomal Region 1 Overdosage Affects the Global Transcriptome in iPSCs From Patients With Klinefelter Syndrome and High-Grade X Chromosome Aneuploidies
Astro, V., Alowaysi, M., Fiacco, E., Saera-Vila, A., Cardona‐Londoño, K. J., Cigliano, R. A., & Adamo, A. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.801597 · Cited by 20
Emerging Penetrating Neural Electrodes: In Pursuit of Large Scale and Longevity
Luan, L., Yin, R., Zhu, H., & Xie, C. (2023) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-090622-050507 · Cited by 23
Concurrent measurements of neurochemical and electrophysiological activity with microelectrode arrays: New perspectives for constant potential amperometry
Ledo, A., Lourenço, C. F., Laranjinha, J. A. N., Gerhardt, G. A., & Barbosa, R. M. (2018) · Current Opinion in Electrochemistry · doi:10.1016/j.coelec.2018.05.018 · Cited by 20
Quantitative simulation of extracellular single unit recording from the surface of cortex
Hill, M., Rios, E., Sudhakar, S., Roossien, D. H., Caldwell, C. M., Cai, D., Ahmed, O. J., Lempka, S. F., & Chestek, C. A. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aacdb8 · Cited by 19
Self-citation
Evaluation of a conducting elastomeric composite material for intramuscular electrode application
Zheng, X. S., Griffith, A. Y., Chang, E., Looker, M. J., Fisher, L. E., Clapsaddle, B. J., & Cui, X. T. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.12.021 · Cited by 18
Fascicle localisation within peripheral nerves through evoked activity recordings: A comparison between electrical impedance tomography and multi-electrode arrays
Ravagli, E., Mastitskaya, S., Thompson, N., Welle, E. J., Chestek, C. A., Aristovich, K. Y., & Holder, D. S. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109140 · Cited by 19
Self-citation
Graph theoretical design of biomimetic aramid nanofiber composites as insulation coatings for implantable bioelectronics
Zhang, H., Vecchio, D. A., Emre, A. E., Rahmani, S., Cheng, C., Zhu, J. G., Misra, A. C., Lahann, J., & Kotov, N. A. (2021) · MRS Bulletin · doi:10.1557/s43577-021-00071-x · Cited by 22
Self-citation
Compositional and morphological properties of platinum-iridium electrodeposited on carbon fiber microelectrodes
della Valle, E., Welle, E. J., Chestek, C. A., & Weiland, J. D. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac20bb · Cited by 19
Self-citation
Spatial Transcriptomics as a Novel Approach to Redefine Electrical Stimulation Safety
Whitsitt, Q. A., Koo, B., Çelik, M. E., Evans, B. M., Weiland, J. D., & Purcell, E. K. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.937923 · Cited by 18

Authors: Patel, P. R., Zhang, H., Robbins, M. T., Nofar, J. B., Marshall, S. P., Kobylarek, M. J., Kozai, T. D. Y., Kotov, N. A., & Chestek, C. A.
Affiliations: University of Michigan (US)
University of Pittsburgh (US)
Corresponding author: Patel, Paras R
Zhang, Huanan
Robbins, Matthew T
Nofar, Justin B
Marshall, Shaun P
Kobylarek, Michael J
Kozai, Takashi D Y
Kotov, Nicholas A
Chestek, Cynthia A
ORCID: Patel, Paras R
Zhang, Huanan
Kozai, Takashi D Y
Kotov, Nicholas A
Chestek, Cynthia A
Venue: Journal of Neural Engineering
Publisher: IOP Publishing
Published: 2016-10-05
Volume: 13
Issue: 6
Pages: 066002
ISSN: 1741-2552 (ISSN-L)
1741-2560
DOI: 10.1088/1741-2560/13/6/066002
PMC: PMC5118062
OpenAlex: W2529123936
Cited by: 204
References: 77
Citations by year: 2026: 11 · 2025: 14 · 2024: 17 · 2023: 18 · 2022: 16 · 2021: 34 · 2020: 34 · 2019: 24 · 2018: 24 · 2017: 9 · 2016: 2
FWCI: 11.03
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: publishingsupport.iopscience.iop.org/iop-standard/v1 (vor)
iopscience.iop.org/info/page/text-and-data-mining (tdm)
Locations: Journal of Neural Engineering (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: McKnight Foundation
National Institute of Neurological Disorders and Stroke (1R01NS094396)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
Keywords: chronic neural recording, electrode stability, PEDOT coating, accelerated aging, glial scar, silicon electrodes, single-unit recording
MeSH terms: Carbon Fiber, Animals, Astrocytes, Carbon, Cell Count, Electrodes, Implanted, Microcomputers, Microelectrodes, Motor Cortex, Neurons, Silicon, Microglia, Rats, Electrophysiological Phenomena, Signal-To-Noise Ratio

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

Chronic in vivo stability assessment of carbon fiber microelectrode arrays

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks