The DOI matches its Crossref record; 220 of the 227 references it cites were found in a registry or an index.
Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording
Abstract
Electrodes serve as the first critical interface to the biological organ system. In neuroprosthetic applications, for example, electrodes interface to the tissue for either signal recording or tissue stimulation. In this review, we consider electrodes for recording neural activity. Recording electrodes serve as wiretaps into the neural tissues, providing readouts of electrical activity. These signals give us valuable insights into the organization and functioning of the nervous system. The recording interfaces have also shown promise in aiding treatment of motor and sensory disabilities caused by neurological disorders. Recent advances in fabrication technology have generated wide interest in creating tiny, high-density electrode interfaces for neural tissues. An ideal electrode should be small enough and be able to achieve reliable and conformal integration with the structures of the nervous system. As a result, the existing electrode designs are being shrunk and packed to form small form factor interfaces to tissue. Here, an overview of the historic and state-of-the-art electrode technologies for recording neural activity is presented first with a focus on their development road map. The fact that the dimensions of recording electrode sites are being scaled down from micron to submicron scale to enable dense interfaces is appreciated. The current trends in recording electrode technologies are then reviewed. Current and future considerations in electrode design, including the use of inorganic nanostructures and biologically inspired or biocomapatible materials are discussed, along with an overview of the applications of flexible materials and transistor transduction schemes. Finally, we detail the major technical challenges facing chronic use of reliable recording electrode technology.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Novel approaches were demonstrated previously, and recently one of the research trends of the neural interface is to combine with neural tissue or biodegradable materials for long-term use or removing additional surgery.21,111,112”
From From flexible electronics technology in the era of IoT and artificial intelligence toward future implanted body sensor networks (2019) · cites this paper as [112]
Citations
Cites
Hodgkin, A. L., & Huxley, A. F. (1952) · The Journal of Physiology · doi:10.1113/jphysiol.1952.sp004764 · Cited by 23,191
Hamill, O. P., Marty, A., Neher, E., Sakmann, B., & Sigworth, F. J. (1981) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/bf00656997 · Cited by 18,436
Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Li, X., Cai, W., An, J., Kim, S., Nah, J., Yang, D., Piner, R. D., Velamakanni, A., Jung, I., Tutuc, E., et al. (2009) · Science · doi:10.1126/science.1171245 · Cited by 11,339
Carbon Nanotubes--the Route Toward Applications
Baughman, R. H., Zakhidov, A. A., & de Heer, W. A. (2002) · Science · doi:10.1126/science.1060928 · Cited by 10,251
Novoselov, K. S., Fal’ko, V. I., Colombo, L., Gellert, P. R., Schwab, M. G., & Kim, K. (2012) · Nature · doi:10.1038/nature11458 · Cited by 9,431
Down-Regulation of Na+/K+ATPase Activity by Human Parvovirus B19 Capsid Protein VP1
Almilaji, A., Szteyn, K., Fein, E., Pakladok, T., Muñoz, C., Elvira, B., Towhid, S. T., Alesutan, I., Shumilina, E. V., Bock, C. –., et al. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350083 · Cited by 8,700
Regulation of the Voltage Gated K+ Channel Kv1.3 by Recombinant Human Klotho Protein
Almilaji, A., Honisch, S., Liu, G., Elvira, B., Ajay, S. S., Hosseinzadeh, Z., Ahmed, M., Muñoz, C., Sopjani, M., & Lang, F. (2014) · Kidney & Blood Pressure Research · doi:10.1159/000368472 · Cited by 5,609
Materials and Mechanics for Stretchable Electronics
Rogers, J. A., Someya, T., & Huang, Y. Y. (2010) · Science · doi:10.1126/science.1182383 · Cited by 5,071
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Receptive fields of single neurones in the cat's striate cortex
Hubel, D. H., & Wiesel, T. N. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006308 · Cited by 4,653
Research works printed but not linked: 4
- Marks A (1969) Bullfrog nerve regeneration into porous implants. Anatom Rec 163:226
- Schmidt E, McIntosh J, Durelli L, Bak M (1978) Fine control of operantly conditioned firing patterns of cortical neurons. Exp Neurol 61(2):349–369 · DOI
- Ward MP, Rajdev P, Ellison C, Irazoqui PP (2009) Toward a comparison of microelectrodes for acute and chronic recordings. Brain Res 1282:183–200 · DOI
- Wilks SJ, Richardson-Burns SM, Hendricks JL, Martin DC, Otto KJ (2009) Poly (3, 4-ethylenedioxythiophene) as a micro-neural interface material for electrostimulation. Front Neuroeng 2(7):1–8
Cited by
Sorted by citations
Soft and elastic hydrogel-based microelectronics for localized low-voltage neuromodulation
Liu, Y., Liu, J., Chen, S., Lei, T., Kim, Y., Niu, S., Wang, H., Wang, X., Foudeh, A. M., Tok, J. B.-H., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0335-6 · Cited by 811
Seizure prediction – ready for a new era
Kuhlmann, L., Lehnertz, K., Richardson, M. P., Schelter, B., & Zaveri, H. P. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0055-2 · Cited by 450
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
Biocompatibility of Polyimides: A Mini-Review
Constantin, C.-P., Aflori, M., Damian, R. F., & Rusu, R. (2019) · Materials · doi:10.3390/ma12193166 · Cited by 203
Lee, S., Shi, Q., & Lee, C. (2019) · APL Materials · doi:10.1063/1.5063498 · Cited by 164
Colloquium : Control of dynamics in brain networks
Tang, E., & Bassett, D. S. (2018) · Reviews of Modern Physics · doi:10.1103/revmodphys.90.031003 · Cited by 161
Nanofabricated Ultraflexible Electrode Arrays for High‐Density Intracortical Recording
Wei, X., Luan, L., Zhao, Z., Li, X., Zhu, H., Potnis, O., & Xie, C. (2018) · Advanced Science · doi:10.1002/advs.201700625 · Cited by 149
Implantable intracortical microelectrodes: reviewing the present with a focus on the future
Wang, Y., Yang, X., Zhang, X., Wang, Y., & Pei, W. (2023) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00451-6 · Cited by 147
3D Printed Neural Regeneration Devices
Joung, D., Lavoie, N., Guo, S., Park, S. H., Parr, A. M., & McAlpine, M. C. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201906237 · Cited by 144
Nature-derived materials for the fabrication of functional biodevices
Pradhan, S., Brooks, A. K., & Yadavalli, V. K. (2020) · Materials Today Bio · doi:10.1016/j.mtbio.2020.100065 · Cited by 135
Adaptive self-healing electronic epineurium for chronic bidirectional neural interfaces
Song, K.-I., Seo, H., Seong, D., Kim, S., Yu, K. J., Kim, Y.-C., Kim, J., Kwon, S. J., Han, H.-S., Youn, I., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18025-3 · Cited by 120
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
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
Nanotechnology and Nanomaterials for Improving Neural Interfaces
Wang, M., Mi, G., Shi, D., Bassous, N. J., Hickey, D. J., & Webster, T. J. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201700905 · Cited by 99
Precision electronic medicine in the brain
Patel, S. R., & Lieber, C. M. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0234-8 · Cited by 98
Lee, S., Özlü, B., Eom, T., Martin, D. C., & Shim, B. S. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112620 · Cited by 100
Implantable neurotechnologies: a review of integrated circuit neural amplifiers
Ng, K. A., Greenwald, E., Xu, Y. P., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1431-3 · Cited by 83
Self-citationVassanelli, S., & Mahmud, M. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00438 · Cited by 79
Stretchable Low Impedance Electrodes for Bioelectronic Recording from Small Peripheral Nerves
Decataldo, F., Cramer, T., Martelli, D., Gualandi, I., Korim, W. S., Yao, S. T., Tessarolo, M., Murgia, M., Scavetta, E., Amici, R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-46967-2 · Cited by 78
Multifunctional hydrogel electronics for closed-loop antiepileptic treatment
Qu, J., Xie, K., Chen, S., He, X., Wang, Y., Chamberlin, M., Zhao, X. J., Zhu, G., Xu, C., & Shi, P. (2024) · Science Advances · doi:10.1126/sciadv.adq9207 · Cited by 74
Silva, G. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00843 · Cited by 74
Transparent neural implantable devices: a comprehensive review of challenges and progress
Cho, Y. U., Lim, S. L., Hong, J.-H., & Yu, K. J. (2022) · npj Flexible Electronics · doi:10.1038/s41528-022-00178-4 · Cited by 69
Wide-Band-Gap Semiconductors for Biointegrated Electronics: Recent Advances and Future Directions
Nguyen, N., Nguyen, T., Nguyen, T., Yadav, S., Dinh, T., Masud, M. K., Singha, P., Do, T. N., Barton, M., Ta, H. T., et al. (2021) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.0c01122 · Cited by 61
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
Implantable neurotechnologies: electrical stimulation and applications
Nag, S., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1442-0 · Cited by 56
Self-citationGreenwald, E., Masters, M. R., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1429-x · Cited by 53
Self-citationElectrochemical Evaluations of Fractal Microelectrodes for Energy Efficient Neurostimulation
Park, H., Takmakov, P. A., & Lee, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-22545-w · Cited by 56
Neural signal recording and processing in somatic neuroprosthetic applications. A review
Raspopović, S., Cimolato, A., Panarese, A., Vallone, F., del Valle, J., Micera, S., & Navarro, X. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108653 · Cited by 53
Graphene & two-dimensional devices for bioelectronics and neuroprosthetics
Kireev, D., & Offenhäusser, A. (2018) · 2D Materials · doi:10.1088/2053-1583/aad988 · Cited by 51
Autotaxin and lysophospholipids in rheumatoid arthritis.
Bourgoin, S. G., & Zhao, C. (2010) · PubMed · Cited by 49
Soft ferroelectret ultrasound receiver for targeted peripheral neuromodulation
Li, T., Wei, Z., Jin, F., Yuan, Y., Zheng, W., Qian, L., Wang, H., Hua, L., Ma, J., Zhang, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-44065-6 · Cited by 50
Lee, J. Y., Park, S., Kim, Y., Cho, Y. U., Park, J., Hong, J.-H., Kim, K., Shin, J., Ju, J. E., Min, I. S., et al. (2022) · npj Flexible Electronics · doi:10.1038/s41528-022-00219-y · Cited by 53
Ye, H., Hendee, J., Ruan, J., Zhirova, A., Ye, J., & Dima, M. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01094-4 · Cited by 46
Current and emerging strategies for biocompatible materials for implantable electronics
Zhou, Y., Morris, G. H. B., & Nair, M. (2024) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2024.101852 · Cited by 44
Peripheral Focused Ultrasound Neuromodulation (pFUS)
Cotero, V. E., Miwa, H., Graf, J. F., Ashe, J. M., Loghin, E., Carlo, D. D., & Puleo, C. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108721 · Cited by 39
Nontransient silk sandwich for soft, conformal bionic links
Patil, A. C., Bandla, A., Liu, Y.-H., Luo, B., & Thakor, N. V. (2020) · Materials Today · doi:10.1016/j.mattod.2019.08.007 · Cited by 38
Self-citationHigh channel count single-unit recordings from nonhuman primate frontal cortex
Mitz, A. R., Bartolo, R., Saunders, R. C., Browning, P. G. F., TALBOT, T. L., & Averbeck, B. B. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.07.001 · Cited by 37
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
Self-citationResearch Progress on the Flexibility of an Implantable Neural Microelectrode
Zhao, H., Liu, R., Zhang, H., Cao, P., Liu, Z., & Li, Y. (2022) · Micromachines · doi:10.3390/mi13030386 · Cited by 37
Fascicular nerve stimulation and recording using a novel double-aisle regenerative electrode
Delgado-Martínez, I., Righi, M., Santos, D., Cutrone, A., Bossi, S., D’Amico, S., Del Valle, J., Micera, S., & Navarro, X. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6bac · Cited by 35
Lv, Q., Li, Q., Cao, P., Wei, C., Li, Y., Wang, Z., & Wang, L. (2024) · Advanced Materials · doi:10.1002/adma.202411946 · Cited by 35
Zeng, Y., Gong, C., Lu, G., Wu, J., Wan, X., Yang, Y., Ji, J., Zhang, J., Li, R., Sun, Y., et al. (2025) · Nature Electronics · doi:10.1038/s41928-025-01374-6 · Cited by 35
Grob, L., Yamamoto, H., Zips, S., Rinklin, P., Hirano‐Iwata, A., & Wolfrum, B. L. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900517 · Cited by 39
Yang, D., Yang, S. J., Bonis-O’Donnell, J. T. D., Pinals, R. L., & Landry, M. P. (2020) · ACS Nano · doi:10.1021/acsnano.0c06154 · Cited by 34
From softening polymers to multimaterial based bioelectronic devices
Ecker, M., Joshi-Imre, A., Modi, R., Frewin, C. L., Garcia-Sandoval, A., Maeng, J., Gutierrez-Heredia, G., Pancrazio, J. J., & Voit, W. E. (2019) · Multifunctional Materials · doi:10.1088/2399-7532/aaed58 · Cited by 34
Flexible microelectrode array for interfacing with the surface of neural ganglia
Sperry, Z. J., Na, K., Parizi, S. S., Chiel, H. J., Seymour, J. P., Yoon, E., & Bruns, T. M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab55f · Cited by 33
Recent advances in sensing and biosensing with arrays of nanoelectrodes
Karimian, N., & Ugo, P. (2019) · Current Opinion in Electrochemistry · doi:10.1016/j.coelec.2019.04.026 · Cited by 34
Zhang, C., Driver, N., Tian, Q., Jiang, W., & Liu, H. H. (2018) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.36385 · Cited by 32
Arafat, M. A., Rubin, L. N., Jefferys, J. G. R., & Irazoqui, P. P. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2932032 · Cited by 31
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
Totally Organic Hydrogel‐Based Self‐Closing Cuff Electrode for Vagus Nerve Stimulation
Terutsuki, D., Yoroizuka, H., Osawa, S., Ogihara, Y., Abe, H., Nakagawa, A., Iwasaki, M., & Nishizawa, M. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202201627 · Cited by 26
Zhao, X., Xu, H., Liu, Z., Guo, L., Jiang, J., & Liu, Z. (2024) · Smart Molecules · doi:10.1002/smo.20240015 · Cited by 26
In vivo microelectrode arrays for neuroscience
Williams, N. P., Vöröslakos, M., Shi, D., Pwint, M. Y., Lanzio, V., Mao, H., Zolotavin, P., Yoon, E., Stieglitz, T., Xie, C., et al. (2025) · Nature Reviews Methods Primers · doi:10.1038/s43586-025-00399-7 · Cited by 30
Sando, I. C., Adidharma, W., Nedic, A., Ursu, D. C., Mays, E. A., Hu, Y., Kubiak, C. A., Sugg, K. B., Kung, T. A., Cederna, P. S., et al. (2022) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000010086 · Cited by 26
Biological Considerations of Optical Interfaces for Neuromodulation
Hart, W. L., Kameneva, T., Wise, A. K., & Stoddart, P. R. (2019) · Advanced Optical Materials · doi:10.1002/adom.201900385 · Cited by 25
Sensing and Control for Prosthetic Hands in Clinical and Research Applications
Osborn, L. E., Iskarous, M. M., & Thakor, N. V. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814659-0.00022-9 · Cited by 29
Self-citationInkjet-Printed and Electroplated 3D Electrodes for Recording Extracellular Signals in Cell Culture
Grob, L., Rinklin, P., Zips, S., Mayer, D., Weidlich, S., Terkan, K., Weiß, L. J. K., Adly, N., Offenhäusser, A., & Wolfrum, B. L. (2021) · Sensors · doi:10.3390/s21123981 · Cited by 26
Greenwald, E., Masters, M. R., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-016-1452-6 · Cited by 23
Self-citationRecent Development of Neural Microelectrodes with Dual-Mode Detection
Xu, M., Zhao, Y., Xu, G., Zhang, Y., Sun, S., Sun, Y., Wang, J., & Pei, R. (2022) · Biosensors · doi:10.3390/bios13010059 · Cited by 23
Zhao, Q., Zhu, M. J., Tian, G., Liang, C., Liu, Z., Huang, J., Yu, Q. Y., Tang, S., Chen, J., Zhao, X., et al. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202203344 · Cited by 23
MRI magnetic compatible electrical neural interface: From materials to application
Zhang, Y., Song, L., Li, H., Ji, B., Wang, M., Tao, J., Liang, J., Zhang, X., & Kang, X. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2021.113592 · Cited by 24
Kim, C., Jeong, J., & Kim, S. J. (2019) · Sensors · doi:10.3390/s19051069 · Cited by 22
Macdonald, A. R., Hawkes, L. A., & Corrigan, D. K. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0228 · Cited by 22
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
Ultra-thin biocompatible implantable chip for bidirectional communication with peripheral nerves
de Beeck, M. O., Verplancke, R., Schaubroeck, D., Cuypers, D., Cauwe, M., Vandecasteele, B., O'Callaghan, J. M., Braeken, D., Andrei, A., Firrincieli, A., et al. (2017) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2017.8325206 · Cited by 21
Development of an active high-density transverse intrafascicular micro-electrode probe
Verplancke, R., Cauwe, M., Schaubroeck, D., Cuypers, D., Vandecasteele, B., Mader, L., Vanhaverbeke, C., Ballini, M., O'Callaghan, J. M., Goikoetxea, E., et al. (2019) · Journal of Micromechanics and Microengineering · doi:10.1088/1361-6439/ab5df2 · Cited by 20
Lichtenstein, M. P., Carretero, N. M., Pérez, E., Pulido-Salgado, M., Moral‐Vico, J., Solà, C., Casañ-Pastor, N., & Sunol, C. E. (2018) · NeuroToxicology · doi:10.1016/j.neuro.2018.07.010 · Cited by 20
Sait, R., & Cross, R. B. M. (2017) · Applied Surface Science · doi:10.1016/j.apsusc.2017.03.277 · Cited by 20
Magnesium-based biodegradable microelectrodes for neural recording
Zhang, C., Wen, T. H., Razak, K. A., Lin, J., Xu, C., Seo, C., Villafana, E., Jiménez, H. O. T., & Liu, H. H. (2020) · Materials Science and Engineering C · doi:10.1016/j.msec.2019.110614 · Cited by 22
The Pursuit of Chronically Reliable Neural Interfaces: A Materials Perspective
Guo, L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00599 · Cited by 19
Zieliński, A., & Majkowska-Marzec, B. (2022) · Coatings · doi:10.3390/coatings12111643 · Cited by 18
Printed Silk Microelectrode Arrays for Electrophysiological Recording and Controlled Drug Delivery
Adly, N., Teshima, T., Hassani, H., Boustani, G. A., Weiß, L. J. K., Cheng, G., Alexander, J., & Wolfrum, B. L. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202202869 · Cited by 16
High purity polyimide analysis by solid sampling graphite furnace atomic absorption spectrometry
Santos, R. F., de Carvalho, G. S., Duarte, F. A., Bolzan, R. C., & Flores, É. M. M. (2017) · Spectrochimica Acta Part B Atomic Spectroscopy · doi:10.1016/j.sab.2017.01.005 · Cited by 16
Hybrid electrical and optical neural interfaces
Ramezani, Z., Seo, K. J., & Fang, H. (2021) · Journal of Micromechanics and Microengineering · doi:10.1088/1361-6439/abeb30 · Cited by 17
Carbohydrate based biomaterials for neural interface applications
Dhawan, V., & Cui, X. T. (2022) · Journal of Materials Chemistry B · doi:10.1039/d2tb00584k · Cited by 17
Recent Advances in Implantable Neural Interfaces for Multimodal Electrical Neuromodulation
Wang, L., Liu, S., Zhao, W., Li, J., Zeng, H., Kang, S., Sheng, X., Wang, L., Fan, Y., & Yin, L. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202303316 · Cited by 16
Review of Neural Interfaces: Means for Establishing Brain–Machine Communication
Khuntia, P. K., & Manivannan, P. V. (2023) · SN Computer Science · doi:10.1007/s42979-023-02160-x · Cited by 15
Microwire-CMOS integration of mm-scale neural probes for chronic local field potential recording
Szostak, K. M., Mazza, F., Maslik, M., Leene, L. B., Feng, P., & Constandinou, T. G. (2017) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2017.8325185 · Cited by 13
Carbonization of 3D printed polymer structures for CMOS-compatible electrochemical sensors
Haque, M. A., Lavrik, N. V., Hedayatipour, A., Hensley, D. K., Briggs, D. P., & McFarlane, N. M. (2020) · Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena · doi:10.1116/6.0000266 · Cited by 12
Insects Neural Model: Potential Alternate to Mammals for Electrophysiological Studies
Gaburro, J., Nahavandi, S., & Bhatti, A. (2017) · Series in bioengineering · doi:10.1007/978-981-10-3957-7_6 · Cited by 11
Fabrication of vertically aligned PEDOT nanotube arrays on microelectrodes to interface neurons
Chen, H., Tian, G., Yan, H., Yang, S., & Kim, D. (2021) · Electrochimica Acta · doi:10.1016/j.electacta.2021.139583 · Cited by 11
Electrical and Physical Sensors for Biomedical Implants
Kassanos, P., Anastasova, S., & Yang, G. (2018) · Springer eBooks · doi:10.1007/978-3-319-69748-2_3 · Cited by 11
Minimally Invasive & Long‐lasting Neural Probes from a Materials Perspective
Veronica, A., Li, Y., & Hsing, I. (2019) · Electroanalysis · doi:10.1002/elan.201800719 · Cited by 11
How to Achieve High Spatial Resolution in Organic Optobioelectronic Devices?
Fabbri, L., Migliaccio, L., Širvinskytė, A., Rizzi, G., Bondi, L., Tamarozzi, C., Weber, S. A. L., Fraboni, B., Głowacki, E. D., & Cramer, T. (2025) · Advanced Materials Interfaces · doi:10.1002/admi.202400822 · Cited by 9
Shin, Y.-M., Kim, Y.-K., Lee, S.-K., Shin, H., Cho, I., & Park, J. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.03.143 · Cited by 9
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
Neuroprosthesis Devices Based on Micro- and Nanosensors: A Systematic Review
Gutiérrez-Martínez, J., Toledo-Peral, C. L., Mercado-Gutierrez, J. A., Vera, A., & Leija, L. (2020) · Journal of Sensors · doi:10.1155/2020/8865889 · Cited by 9
Spatio-temporal feature extraction in sensory electroneurographic signals
Silveira, C. R. A., Khushaba, R. N., Brunton, E., & Nazarpour, K. (2022) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2021.0268 · Cited by 8
Wu, Y., Zhang, Q., Wang, H., & Wang, M. (2020) · Materials Chemistry Frontiers · doi:10.1039/d0qm00279h · Cited by 9
Transient shuttle for a widespread neural probe with minimal perturbation
Roh, Y., Kim, H., Kim, E.-A. L., Ji, K., Kang, M.-J., Gong, D., Im, S., Hong, I., Park, J., Park, S.-J., et al. (2024) · npj Flexible Electronics · doi:10.1038/s41528-024-00328-w · Cited by 9
Flexible metallic core–shell nanostructured electrodes for neural interfacing
Rodilla, B. L., Arché‐Núñez, A., Ruiz‐Gómez, S., Dominguez, A. L., Fernández‐González, C., Guillén-Colomer, C., González‐Mayorga, A., Rodríguez-Díez, N., Camarero, J., Miranda, R., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-53719-4 · Cited by 10
Zhang, W., Tang, J., Li, Z., & Ma, Y. (2018) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-018-1826-z · Cited by 8
Nitridation of optimised TiO2 nanorods through PECVD towards neural electrode application
Sait, R., Govindarajan, S., & Cross, R. B. M. (2018) · Materialia · doi:10.1016/j.mtla.2018.09.015 · Cited by 8
Hirabayashi, M., Logan, K., Deutschman, C. P., McDowell, T. W., Torres, M. Z., Pullman, D. P., & Kassegne, S. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0091808jes · Cited by 8
Implantable Device Fabrication and Packaging
Stieglitz, T. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_102 · Cited by 7
Simon, N., Stieglitz, T., & Bucher, V. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202403149 · Cited by 7
Electrochemical Characterization of Graphene Microelectrodes for Biological Applications
Körbitzer, B., Krauß, P., Belle, S., Schneider, J. J., & Thielemann, C. (2019) · ChemNanoMat · doi:10.1002/cnma.201800652 · Cited by 7
Multi‐Channel Neural Interface for Neural Recording and Neuromodulation
Kim, E.-M., Chung, W. G., Kim, E., Oh, M., Paek, J., Lee, T., Kim, D., An, S. H., Kim, S., & Park, J. (2025) · Small Methods · doi:10.1002/smtd.202501227 · Cited by 9
Analysing and measuring the performance of memristive integrating amplifiers
Wang, J., Serb, A., Papavassiliou, C., Maheshwari, S., & Prodromakis, T. (2021) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.3101 · Cited by 8
Zhang, C., Wen, T. H., Razak, K. A., Lin, J., Villafana, E., Jiménez, H. O. T., & Liu, H. H. (2019) · MRS Advances · doi:10.1557/adv.2019.302 · Cited by 6
Metadata
- Authors
- Patil, A. C., & Thakor, N. V.
- Affiliations
- National University of Singapore (SG)
- Johns Hopkins University (US)
- Corresponding author
- Patil, Anoop C.
- Venue
- Medical & Biological Engineering & Computing
- Published
- 2016-01
- Volume
- 54
- Issue
- 1
- Pages
- 23-44
- ISSN
- 0140-0118 (ISSN-L)
- 1741-0444
- OpenAlex
- W2249190983
- Cited by
- 175
- References
- 227
- Citations by year
- 2026: 2 · 2025: 37 · 2024: 12 · 2023: 15 · 2022: 17 · 2021: 14 · 2020: 14 · 2019: 26 · 2018: 17 · 2017: 11 · 2016: 9
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Medical & Biological Engineering & Computing (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National University of Singapore
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Social Sciences › Education › Undergraduate Neuroscience Education and Research
- Keywords
- neural recording electrodes, microelectrodes, nanoelectrodes, neuroprosthetics, biomaterials, biomimetic materials, inorganic nanostructures, flexible materials
- MeSH terms
- Animals, Brain, Humans, Man-Machine Systems, Microelectrodes, Prostheses and Implants, Nanotechnology
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