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 accessAbstract
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.
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.
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?
In the citing paper
“several strategies for minimizing trauma and the inflammatory responses have been investigated, for example, the reduction of the cross-sectional area of the electrodes (Seymour and Kipke, 2007) and the use of more flexible and soft materials that better match the properties of the surrounding tissue”
From Toward Long-Term Communication With the Brain in the Blind by Intracortical Stimulation: Challenges and Future Prospects (2020) · cites this paper as Patel et al., 2016
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
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
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893
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
Cited by
Sorted by citations
Items 101–200 of 204
Ofoegbu, S. U., Quevedo, M. C., Bastos, A. C., Ferreira, M. G. S., & Zheludkevich, M. L. (2022) · npj Materials Degradation · doi:10.1038/s41529-022-00261-1 · Cited by 18
MEMS-Actuated Carbon Fiber Microelectrode for Neural Recording
Zoll, R. S., Schindler, C. B., Massey, T. L., Drew, D., Maharbiz, M. M., & Pister, K. S. J. (2019) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2019.2905505 · Cited by 18
Defining a Path Toward the Use of Fast-Scan Cyclic Voltammetry in Human Studies
Boschen, S. L., Trevathan, J. K., Hara, S. A., Asp, A., & Luján, J. L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.728092 · Cited by 19
Electrodeposited PEDOT:BF 4 Coatings Improve Impedance of Chronic Neural Stimulating Probes In Vivo
Hagler, J., Yeu, J., Zhou, X., Ducharme, G., Amilhon, B., & Cicoira, F. (2022) · Advanced Materials Interfaces · doi:10.1002/admi.202201066 · Cited by 17
Letner, J. G., Patel, P. R., Hsieh, J., Flores, I. M. S., della Valle, E., Walker, L. A., Weiland, J. D., Chestek, C. A., & Cai, D. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acbf78 · Cited by 16
Self-citationFlexible and stretchable implantable devices for peripheral neuromuscular electrophysiology
Li, H., Zhao, H., Song, K., Han, F., Liu, Z., & Tian, Q. (2024) · Nanoscale · doi:10.1039/d3nr05488h · Cited by 16
Wang, M., Gu, X., Ji, B., Wang, L., Guo, Z., Yang, B. T., Wang, X., Li, C.-Y., & Liu, J. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.01.019 · Cited by 16
Cellular-scale silicon probes for high-density, precisely localized neurophysiology
Egert, D., Pettibone, J. R., Lemke, S. M., Patel, P. R., Caldwell, C. M., Cai, D., Ganguly, K., Chestek, C. A., & Berke, J. D. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00352.2020 · Cited by 16
Self-citationSiwakoti, U., Jones, S. A., Kumbhare, D., Cui, X. T., & Castagnola, E. (2025) · Biosensors · doi:10.3390/bios15020100 · Cited by 16
An Intracortical Polyimide Microprobe With Piezoelectric-Based Stiffness Control
Sharafkhani, N., Orwa, J. O., Adams, S. D., Long, J. M., Lissorgues, G., Rousseau, L., & Kouzani, A. Z. (2022) · Journal of Applied Mechanics · doi:10.1115/1.4054979 · Cited by 16
Jeakle, E. N., Abbott, J., Usoro, J. O., Wu, Y., Haghighi, P., Radhakrishna, R., Sturgill, B. S., Nakajima, S., Thai, T. T. D., Pancrazio, J. J., et al. (2023) · Micromachines · doi:10.3390/mi14030680 · Cited by 15
Lee, J., Letner, J. G., Lim, J., Atzeni, G., Liao, J., Kamboj, A., Mani, B., Jeong, S., Kim, Y., Sun, Y., et al. (2024) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2023.3349179 · Cited by 16
Self-citationCentral nervous system microstimulation: Towards selective micro-neuromodulation
Urdaneta, M. E., Koivuniemi, A. S., & Otto, K. J. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.09.012 · Cited by 16
Wang, R., Shi, M., Brewer, B. M., Yang, L., Zhang, Y., Webb, D. J., Li, D., & Xu, Y. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b02298 · Cited by 15
POEMS (Polymeric Opto-Electro-Mechanical Systems) for advanced neural interfaces
Kampasi, K., Ladner, I., Zhou, J. J., Calonico-Soto, A., Hernandez, J. E., Patra, S. K., & Haque, R. (2020) · Materials Letters · doi:10.1016/j.matlet.2020.129015 · Cited by 15
Flexible and Soft Materials and Devices for Neural Interface
Castagnola, E., Zheng, X. S., & Cui, X. T. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_5 · Cited by 15
T-DOpE probes reveal sensitivity of hippocampal oscillations to cannabinoids in behaving mice
Kim, J., Huang, H., Gilbert, E. T., Arndt, K. C., English, D. F., & Jia, X. (2024) · Nature Communications · doi:10.1038/s41467-024-46021-4 · Cited by 14
Torres-Martinez, N., Ratel, D., Crétallaz, C., Gaude, C., Maubert, S., Divoux, J., Henry, C., Guiraud, D., & Sauter-Starace, F. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab3836 · Cited by 14
The Next Frontier in Neuroprosthetics: Integration of Biomimetic Somatosensory Feedback
Tian, Y., Valle, G., Cederna, P. S., & Kemp, S. W. P. (2025) · Biomimetics · doi:10.3390/biomimetics10030130 · Cited by 14
High-density neural recordings from feline sacral dorsal root ganglia with thin-film array
Sperry, Z. J., Na, K., Jun, J. J., Madden, L. R., Socha, A., Yoon, E., Seymour, J. P., & Bruns, T. M. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abe398 · Cited by 12
A Pneumatic-Based Mechanism for Inserting a Flexible Microprobe Into the Brain
Sharafkhani, N., Kouzani, A. Z., Adams, S. D., Long, J. M., & Orwa, J. O. (2022) · Journal of Applied Mechanics · doi:10.1115/1.4053398 · Cited by 11
Laser Sharpening of Carbon Fiber Microelectrode Arrays for Brain Recording
Dong, T., Chen, L., & Shih, A. J. (2020) · Journal of Micro and Nano-Manufacturing · doi:10.1115/1.4049780 · Cited by 12
Neural Interfaces Based on Amorphous Silicon Carbide Ultramicroelectrode Arrays
Deku, F., Ghazavi, A., & Cogan, S. F. (2018) · Bioelectronics in Medicine · doi:10.2217/bem-2018-0006 · Cited by 11
Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes
Mahajan, S., Sharkins, J. A., Hunter, A. H., Avishai, A., & Ereifej, E. S. (2020) · Journal of Visualized Experiments · doi:10.3791/60004 · Cited by 13
Electrodeposited coatings for neural electrodes: A review
Li, L., & Jiang, C. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117492 · Cited by 10
Hemed, N. M., & Melosh, N. A. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114723 · Cited by 11
An Actuated Neural Probe Architecture for Reducing Gliosis-Induced Recording Degradation
Massey, T. L., Kuo, L. S., Fan, J. L., & Maharbiz, M. M. (2019) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2019.2905468 · Cited by 10
Fabrication and Validation of Sub-Cellular Carbon Fiber Electrodes
Richie, J. M., Letner, J. G., McLane-Svoboda, A. K., Huan, Y., Ghaffari, D. H., della Valle, E., Patel, P. R., Chiel, H. J., Pelled, G., Weiland, J. D., et al. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3360866 · Cited by 9
Self-citationJiao, Y., Miao, L., Zhu, J., Chang, R., & Qu, X. (2023) · PubMed Central · doi:10.12336/biomatertransl.2023.04.003 · Cited by 9
A Lower Limb Phantom for Simulation and Assessment of Electromyography Technology
Schlink, B. R., & Ferris, D. P. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2944297 · Cited by 9
Next generation material interfaces for neural engineering
Wunderlich, H., & Kozielski, K. (2021) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2021.09.005 · Cited by 9
Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording
Richie, J. M., Patel, P. R., Welle, E. J., Dong, T., Chen, L., Shih, A. J., & Chestek, C. A. (2021) · Journal of Visualized Experiments · doi:10.3791/63099 · Cited by 11
Self-citationCarbon Fiber Electrodes for in Vivo Spinal Cord Recordings
Cetinkaya, E., Gok, S., & Şahin, M. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513408 · Cited by 9
Zambrzycki, M., Wielowski, R., Gubernat, M., Jantas, D., Paczosa‐Bator, B., & Fraczek–Szczypta, A. (2024) · Applied Surface Science · doi:10.1016/j.apsusc.2024.160713 · Cited by 8
Mokhtar, S. M. A., Nataren, N. J., Evans, D., Moore, M. H., Bradley, S., Palmar, S. M., Prow, T. W., & Yamada, M. (2025) · Journal of Materials Chemistry B · doi:10.1039/d4tb02281e · Cited by 7
Faul, E.-B. A., Broussard, A. M., Rivera, D. R., Pwint, M. Y., Wu, B., Cao, Q., Bailey, D., Cui, X. T., & Castagnola, E. (2024) · Micromachines · doi:10.3390/mi15020277 · Cited by 8
More Than Cell Markers: Understanding Heterogeneous Glial Responses to Implantable Neural Devices
Bouadi, O., & Tay, T. L. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.658992 · Cited by 9
Electrochemical Evaluation of Layer-by-Layer Drug Delivery Coating for Neural Interfaces
Olczak, K. P., McDermott, M. D., & Otto, K. J. (2019) · ACS Applied Bio Materials · doi:10.1021/acsabm.9b00688 · Cited by 7
Custom Skull Cap With Precision Guides for Deep Insertion of Cellular-Scale Microwire Into Rat Brain
Chen, L., Hartner, J. P., Dyke, D. V., Dong, T., Watson, B. O., & Shih, A. J. (2019) · doi:10.1115/msec2019-2967 · Cited by 7
Kuliasha, C. A., & Judy, J. W. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856692 · Cited by 7
Abdulhafez, M., Castagnola, E., Sahaluddin, M., Baglieri, G., Tomaraei, G. N., Ghosh, S., Cui, X. T., & Bedewy, M. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c20377 · Cited by 6
Flexible and Extensible Ribbon-Cable Interconnects for Implantable Electrical Neural Interfaces
Geramifard, N., Khajehzadeh, M., Dousti, B., Abbott, J., Nguyen, C. K., Hernandez-Reynoso, A. G., Joshi‐Imre, A., Varner, V. D., & Cogan, S. F. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c11773 · Cited by 8
Ho, T. L., Xue, W., See, M. K., Chan, D., Tsang, A. C. O., Mak, C. H., Wong, S., & Lee, M. W. (2025) · Surgical Practice · doi:10.1111/1744-1633.70002 · Cited by 6
Escarrat, V., Pérez-Sánchez, J., Waly, B. E., Collazos-Castro, J. E., & Debarbieux, F. C. (2023) · Cells · doi:10.3390/cells12060839 · Cited by 6
Recent advancements in Micro-engineered devices for surface and deep brain animal studies: A review
Bhaskara, S., Sakorikar, T., Chatterjee, S., Kv, S. G., & Pandya, H. J. (2022) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2022.100483 · Cited by 6
Sturgill, B. S., Hernandez-Reynoso, A. G., Druschel, L. N., Smith, T. J., Boucher, P., Hoeferlin, G. F., Thai, T. T. D., Jiang, M. S., Hess, J. L., Alam, N. N., et al. (2024) · ACS Applied Bio Materials · doi:10.1021/acsabm.3c01014 · Cited by 5
Amjad, U., Choi, J., Gibson, D. J., Murray, R., Graybiel, A. M., & Schwerdt, H. N. (2024) · eNeuro · doi:10.1523/eneuro.0001-24.2024 · Cited by 5
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Perillo, M. L., Gupta, B., Saxena, A., Veltri, A. P., Li, W., Siegenthaler, J. R., & Purcell, E. K. (2025) · Advanced Materials Technologies · doi:10.1002/admt.202401808 · Cited by 7
Bending Properties of Materials for Peripheral Nerve Interfaces
Woods, J. E., Welle, E. J., Chen, L., Richie, J. M., Patel, P. R., & Chestek, C. A. (2020) · IEEE International Conference on Nano/Micro Engineered and Molecular Systems · doi:10.1109/nems50311.2020.9265629 · Cited by 5
Self-citationOrwa, J. O., Reiner, J., Juma, A., Stacey, A. D., Sears, K., Schütz, J. A., Merenda, A., Hyde, L., Guijt, R. M., Adineh, V. R., et al. (2021) · Diamond and Related Materials · doi:10.1016/j.diamond.2021.108349 · Cited by 5
Vara, H., Hernández-Labrado, G. R., Alves-Sampaio, A., & Collazos-Castro, J. E. (2024) · Polymers · doi:10.3390/polym16142093 · Cited by 5
Koo, B., & Weiland, J. D. (2022) · Translational Vision Science & Technology · doi:10.1167/tvst.11.4.19 · Cited by 5
Benchtop Carbon Fiber Microelectrode Array Fabrication ToolkitPreprint
Richie, J., Patel, P. R., Welle, E. J., Dong, T., Chen, L., Shih, A. J., & Chestek, C. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.22.436422 · Cited by 5
Self-citationAlyamni, N., Abot, J. L., & Zestos, A. G. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1569508 · Cited by 5
Huan, Y., Tibbetts, B. N., Richie, J. M., Chestek, C. A., & Chiel, H. J. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110077 · Cited by 4
Self-citationDong, Q., Ezeh, C., Wu, Y., Hetke, J. F., Cogan, S. F., Orazem, M. E., & Otto, K. J. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10782059 · Cited by 4
Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?
Kaszás, A., Meszéna, D., Fiáth, R., Slézia, A., Ulbert, I., & Katona, G. (2025) · Advanced Science · doi:10.1002/advs.202506225 · Cited by 5
Dong, T., Chen, L., Patel, P. R., Richie, J. M., Chestek, C. A., & Shih, A. J. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acd279 · Cited by 4
Self-citationFeasibility of Using the Utah Array for Long-Term Fully Implantable Neuroprosthesis Systems
Bullard, A. J. (2019) · Deep Blue (University of Michigan) · Cited by 4
Reactive-Accelerated-Aging Testing of Thinned Tissue-Engineered Electronic Nerve Interfaces
Jiracek-Sapieha, L., Fluker, K. A., & Judy, J. W. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340337 · Cited by 3
Spikes to Pixels: Camera Chips for Large-scale Electrophysiology
Lycke, R., Sun, L., Luan, L., & Xie, C. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.03.001 · Cited by 3
Vaskov, A. K., & Chestek, C. A. (2021) · Hand Clinics · doi:10.1016/j.hcl.2021.04.003 · Cited by 3
Self-citationReikersdorfer, K. N., Stacy, A. K., Breßler, D., Hayashi, L. S., Hengen, K. B., & Hooser, S. D. V. (2021) · Journal of Visualized Experiments · doi:10.3791/62760 · Cited by 4
Flexible and Soft Materials and Devices for Neural Interface
Castagnola, E., Zheng, X. S., & Cui, X. T. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_5-1 · Cited by 3
Quantitative Assessment of the Mechanical Properties of the Neural Interface
Sridharan, A., & Muthuswamy, J. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_4 · Cited by 4
Electrical Isolation Performance of Microgasket Technology for Implant Packaging
Rustogi, P., & Judy, J. W. (2020) · IEEE Electronic Components and Technology Conference (ECTC) · doi:10.1109/ectc32862.2020.00251 · Cited by 3
Electrochemical Roughening and Carbon Nanotube Coating of Tetrodes for Chronic Single-Unit RecordingPreprint
Xia, Z., Arias-Gil, G., Deckert, M., Vollmer, M., Curran, A. W., Herrera-Molina, R., Brosch, M., Krug, K., Schmidt, B., Ohl, F. W., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/738245 · Cited by 3
Sharpened and mechanically durable carbon fiber electrode arrays for neural interfacingPreprint
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) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.21.427697 · Cited by 3
Self-citationImplantable microelectrode biosensors for monitoring neurometabolic markers
Fernandes, E., Ledo, A., & Barbosa, R. M. (2026) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2026.109286 · Cited by 3
Quantitative Assessment of the Mechanical Properties of the Neural Interface
Sridharan, A., & Muthuswamy, J. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_4-1 · Cited by 2
Roy, J., Sarah, U. T., Lissorgues, G., Français, O., Rezgui, A., Poulichet, P., Takhedmit, H., Scorsone, E., & Rousseau, L. (2024) · Sensors · doi:10.3390/s24113619 · Cited by 2
In vivo electrophysiology recordings and computational modeling can predict octopus arm movement
Gedela, N. S. S., Radawiec, R. D., Salim, S., Richie, J. M., Chestek, C. A., Draelos, A., & Pelled, G. (2025) · Bioelectronic Medicine · doi:10.1186/s42234-025-00166-9 · Cited by 2
Self-citationLaser Sharpening of Carbon Fiber Microelectrode Arrays for Brain Recording
Dong, T., Chen, L., & Shih, A. J. (2020) · ASME International Manufacturing Science and Engineering Conference (MSEC) · doi:10.1115/msec2020-8479 · Cited by 2
Sea of Electrodes Array (SEA): Customizable 3D High-Density High-Count Neural Probe Array Technology
Zardini, S., & ., S. I. A. (2019) · Deep Blue (University of Michigan) · Cited by 2
Silicon carbide fibres – production, structure, and applications
Elango, J., & Wu, W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15459-1.00023-1 · Cited by 1
Letner, J. G., Lam, J. L. W., Copenhaver, M. G., Barrow, M., Patel, P. R., Richie, J. M., Lee, J., Kim, H.-S., Cai, D., Weiland, J. D., et al. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1848862 · Cited by 1
Self-citationAdams, J., Nishitani, S., Mun, J., Klinger, M., Landry, M. P., & Komatsu, N. (2025) · ACS in focus · doi:10.1021/acsinfocus.7e9007 · Cited by 1
Metal Organic Framework‐Modified Carbon Fiber Microelectrodes for Enhanced Neurochemical Detection
Alshammari, T., Coughlin, D., Aldaeefi, N., Alyamni, N., & Zestos, A. G. (2026) · ChemElectroChem · doi:10.1002/celc.202500452 · Cited by 1
Restoring upper extremity function with brain-machine interfaces
Nason, S. R., Mender, M. J., Letner, J. G., Chestek, C. A., & Patil, P. G. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2021.06.001 · Cited by 2
Self-citationLeón, S. E. D., Higham, S. J., Jung, Y. J., Tong, W., & Garrett, D. J. (2024) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10742 · Cited by 2
Robbins, E. M., Castagnola, E., & Cui, X. T. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3985174 · Cited by 1
Carbon fiber electrodes for in vivo neural recording
Cetinkaya, E. (2017)
Khilwani, R. (2018) · KiltHub Repository · doi:10.1184/r1/6714986
Sperry, Z. J. (2019) · Deep Blue (University of Michigan)
Shoffstall, A. J., & Capadona, J. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816137-1.00073-8
Modulating and Monitoring Autonomic Nerves for Glycemic Control
Jiman, A. A. (2020) · Deep Blue (University of Michigan)
Dryg, I., Xie, Y., Bergmann, M., Urban, G. A., Shain, W. G., & Hofmann, U. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abebc2
Investigating Neuromodulation as a Treatment for Female Sexual Dysfunction
Zimmerman, L. (2020) · Deep Blue (University of Michigan)
Multi-Compartmental Modeling for Extracellular Stimulation of Neocortex
Çelik, M. E. (2021) · European Journal of Science and Technology · doi:10.31590/ejosat.1013879
Letner, J. G., Patel, P. R., Hsieh, J., Flores, I. M. S., della Valle, E., Walker, L. A., Weiland, J. D., Chestek, C. A., & Cai, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.07.511373
Self-citationDauly, G., Mousavi, H., Dieuset, G., Ismailova, E., Harrach, M. A., & Wendling, F. (2023) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner52421.2023.10123836
Kim, J., Huang, H., Gilbert, E. T., Arndt, K. C., English, D. F., & Jia, X. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.08.544251
McNamara, I., Wellman, S. M., Li, L., Eles, J. R., Savya, S. P., Sohal, H. S., Angle, M. R., & Kozai, T. D. Y. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.22.568119
Self-citationSingle unit electrophysiology recordings and computational modeling can predict octopus arm movementPreprint
Gedela, N. S. S., Salim, S., Radawiec, R. D., Richie, J. M., Chestek, C. A., Draelos, A., & Pelled, G. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.13.612676
Self-citationOptimized Single‐Shank Silicon Neural Probe for Neural Recording in Non‐Human Primates
Cao, J., Wang, L., Chen, H., Wang, R., Xu, Q., Xu, M., Yin, J., Wang, X., Yang, B., & Liu, J. (2025) · Advanced Materials Technologies · doi:10.1002/admt.202501356
Research progress of neural implants: Toward robust brain-computer integration
Chen, Z., Tian, Y., Zeng, M., Wu, X., Wu, C., Wei, D., Sun, J. K., Zhou, L. E. T. A. O., Ding, J., & Fan, H. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.177125 · Cited by 1
Li, G., Yan, Z., Peng, Y., Xiao, T., Yu, W., & Che, C. (2026) · Microchemical Journal · doi:10.1016/j.microc.2026.118539
Khajehzadeh, M., Nguyen, C. K., Maharana, M., Peddapuram, S., Joshi‐Imre, A., Pascual, J. M., & Cogan, S. F. (2026) · Micromachines · doi:10.3390/mi17060684
Metadata
- 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
- 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
- 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
- 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
