The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A finite-element model of the mechanical effects of implantable microelectrodes in the cerebral cortex
Open accessAbstract
The viability of chronic neural microelectrodes for electrophysiological recording and stimulation depends on several factors, including the encapsulation of the implant by a reactive tissue response. We postulate that mechanical strains induced around the implant site may be one of the leading factors responsible for the sustained tissue response in chronic implants. The objectives of this study were to develop a finite-element model of the probe-brain tissue interface and analyze the effects of tethering forces, probe-tissue adhesion and stiffness of the probe substrate on the interfacial strains induced around the implant site. A 3D finite-element model of the probe-brain tissue microenvironment was developed and used to simulate interfacial strains created by 'micromotion' of chronically implanted microelectrodes. Three candidate substrates were considered: (a) silicon, (b) polyimide and (c) a hypothetical 'soft' material. Simulated tethering forces resulted in elevated strains both at the tip and at the sharp edges of the probe track in the tissue. The strain fields induced by a simulated silicon probe were similar to those induced by a simulated polyimide probe, albeit at higher absolute values for radial tethering forces. Simulations of poor probe-tissue adhesion resulted in elevated strains at the tip and delamination of the tissue from the probe. A tangential tethering force results in 94% reduction in the strain value at the tip of the polyimide probe track in the tissue, whereas the simulated 'soft' probe induced two orders of magnitude smaller values of strain compared to a simulated silicon probe. The model results indicate that softer substrates reduce the strain at the probe-tissue interface and thus may also reduce tissue response in chronic implants.
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
“the polyimide material demonstrated a 94% reduction in applied strain to the surrounding tissue, while strain with the theoretical 6 MPa material was reduced by two orders of magnitude.”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [169]
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
Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
Mechanical Behavior of Materials
Hosford, W. F. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810930 · Cited by 1,795
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893
Self-citationBrain responses to micro-machined silicon devices
Szarowski, D. H., Andersen, M. D., Retterer, S. T., Spence, A. J., Isaacson, M. S., Craighead, H. G., Turner, J. N., & Shain, W. G. (2003) · Brain Research · doi:10.1016/s0006-8993(03)03023-3 · Cited by 811
Chronic, multisite, multielectrode recordings in macaque monkeys
Nicolelis, M. A. L., Dimitrov, D., Carmena, J. M., Crist, R., Lehew, G., Kralik, J. D., & Wise, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1934665100 · Cited by 740
Flexible polyimide-based intracortical electrode arrays with bioactive capability
Rousche, P. J., Pellinen, D. S., Pivin, D. P., Williams, J. C., Vetter, R. J., & Kipke, D. R. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.914800 · Cited by 644
Self-citationRegional, Directional, and Age-Dependent Properties of the Brain Undergoing Large Deformation
Prange, M. T., & Margulies, S. S. (2002) · Journal of Biomechanical Engineering · doi:10.1115/1.1449907 · Cited by 636
Mechanical properties of brain tissue in tension
Miller, K., & Chinzei, K. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00234-2 · Cited by 636
Cerebral Astrocyte Response to Micromachined Silicon Implants
Turner, J. N., Shain, W. G., Szarowski, D. H., Andersen, M., Martins, S., Isaacson, M. S., & Craighead, H. G. (1999) · Experimental Neurology · doi:10.1006/exnr.1998.6983 · Cited by 603
Constitutive modelling of brain tissue: Experiment and theory
Miller, K., & Chinzei, K. (1997) · Journal of Biomechanics · doi:10.1016/s0021-9290(97)00092-4 · Cited by 525
Research works printed but not linked: 5
- Stensaas S S, 1976, Acta Neuropathol., 35, 187
- Muthuswamy J, 2003, 25th Annual Int. Conf. of EMBS
- Uwe Meyer J, 1996, 18th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society
- Edell D J Kuzma J Petraitis D, 1996, 18th Annual Int. Conference of the IEEE Engineering in Medicine and Biology Society
- Hetke J F, 2003, 25th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society
Cited by
Sorted by citations
Design of biodegradable, implantable devices towards clinical translation
Li, C., Guo, C., Fitzpatrick, V., Ibrahim, A. G. A., Zwierstra, M. J., Hanna, P. C., Lechtig, A., Nazarian, A., Lin, S. J., & Kaplan, D. L. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0150-z · Cited by 828
Kozai, T. D. Y., Langhals, N. B., Patel, P. R., Deng, X., Zhang, H., Smith, K. L., Lahann, J., Kotov, N. A., & Kipke, D. R. (2012) · Nature Materials · doi:10.1038/nmat3468 · Cited by 721
Self-citationLudwig, K. A., Uram, J. D., Yang, J., Martin, D. C., & Kipke, D. R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/1/007 · Cited by 638
Self-citationBrain Tissue Responses to Neural Implants Impact Signal Sensitivity and Intervention Strategies
Kozai, T. D. Y., Jaquins-Gerstl, A. S., Vazquez, A. L., Michael, A. C., & Cui, X. T. (2015) · ACS Chemical Neuroscience · doi:10.1021/cn500256e · Cited by 622
Nanomaterials for Neural Interfaces
Kotov, N. A., Winter, J. O., Clements, I. P., Jan, E., Timko, B. P., Campidelli, S., Pathak, S., Mazzatenta, A., Lieber, C. M., Prato, M., et al. (2009) · Advanced Materials · doi:10.1002/adma.200801984 · Cited by 504
Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics
Jeong, J., McCall, J. G., Shin, G., Zhang, Y., Al‐Hasani, R., Kim, M. K., Li, S., Sim, J. Y., Jang, K., Shi, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.058 · Cited by 501
Liu, J., Qu, S., Suo, Z., & Yang, W. (2020) · National Science Review · doi:10.1093/nsr/nwaa254 · Cited by 485
Neural probe design for reduced tissue encapsulation in CNS
Seymour, J. P., & Kipke, D. R. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.03.024 · Cited by 462
Self-citationA 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
Naturally sourced hydrogels: emerging fundamental materials for next-generation healthcare sensing
Wang, Z., Wei, H. Z., Huang, Y., Wei, Y., & Chen, J. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00813k · Cited by 400
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
Jorfi, M., Skousen, J. L., Weder, C., & Capadona, J. R. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/011001 · Cited by 384
Biocompatible Materials for Continuous Glucose Monitoring Devices
Nichols, S. P., Koh, A., Storm, W. L., Shin, J. H., & Schoenfisch, M. H. (2013) · Chemical Reviews · doi:10.1021/cr300387j · Cited by 347
Bjornsson, C. S., Oh, S., Al‐Kofahi, Y., Lim, Y.-J., Smith, K. L., Turner, J. N., De, S., Roysam, B., Shain, W. G., & Kim, S. J. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/3/002 · Cited by 330
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
Brain micromotion around implants in the rodent somatosensory cortex
Gilletti, A., & Muthuswamy, J. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/3/001 · Cited by 320
Mechanically-compliant intracortical implants reduce the neuroinflammatory response
Nguyen, J. K., Park, D. J., Skousen, J. L., Hess-Dunning, A. E., Tyler, D. J., Rowan, S. J., Weder, C., & Capadona, J. R. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056014 · Cited by 274
Partial pressure of oxygen in the human body: a general review.
Ortiz‐Prado, E., Dunn, J. F., Vásconez-González, J., Castillo, D., & Viscor, G. (2019) · Europe PMC (PubMed Central) · Cited by 263
High‐Adhesion Stretchable Electrodes Based on Nanopile Interlocking
Liu, Z., Wang, X., Qi, D., Xu, C. Y., Yu, J., Liu, Y., Jiang, Y., Liedberg, B., & Chen, X. (2016) · Advanced Materials · doi:10.1002/adma.201603382 · Cited by 227
A carbon-fiber electrode array for long-term neural recording
Guitchounts, G., Markowitz, J. E., Liberti, W. A., & Gardner, T. J. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046016 · Cited by 224
Elastocapillary self-assembled neurotassels for stable neural activity recordings
Guan, S., Wang, J., Gu, X., Zhao, Y., Hou, R., Fan, H., Zou, L., Gao, L., Du, M., Li, C., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav2842 · Cited by 222
Kozai, T. D. Y., Catt, K. A., Li, X., Gugel, Z. V., Olafsson, V. T., Vazquez, A. L., & Cui, X. T. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.10.040 · Cited by 214
State-of-the-art MEMS and microsystem tools for brain research
Seymour, J. P., Wu, F., Wise, K. D., & Yoon, E. (2017) · Microsystems & Nanoengineering · doi:10.1038/micronano.2016.66 · Cited by 221
Kozai, T. D. Y., Vazquez, A. L., Weaver, C. L., Kim, S.-G., & Cui, X. T. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/6/066001 · Cited by 215
Softening gold for elastronics
Zhu, B., Gong, S. P., & Cheng, W. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00609a · Cited by 216
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
Kim, D., Wiler, J. A., Anderson, D. J., Kipke, D. R., & Martin, D. C. (2009) · Acta Biomaterialia · doi:10.1016/j.actbio.2009.07.034 · Cited by 206
Self-citationA review on mechanical considerations for chronically-implanted neural probes
Lecomte, A., Descamps, E., & Bergaud, C. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8b4f · Cited by 205
The Foreign Body Response Demystified
Chandorkar, Y., K, R., & Basu, B. (2019) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b00252 · Cited by 201
Implantable microscale neural interfaces
Cheung, K. C. (2007) · Biomedical Microdevices · doi:10.1007/s10544-006-9045-z · Cited by 202
Electroactive polymers for neural interfaces
Asplund, M., Nyberg, T., & Inganäs, O. (2010) · Polymer Chemistry · doi:10.1039/c0py00077a · Cited by 195
Electrochemical polymerization of conducting polymers in living neural tissue
Richardson-Burns, S. M., Hendricks, J. L., & Martin, D. C. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/l02 · Cited by 196
Self-citationKozai, T. D. Y., Gugel, Z., Li, X., Gilgunn, P. J., Khilwani, R., Ozdoganlar, O. B., Fedder, G. K., Weber, D. J., & Cui, X. T. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.07.039 · Cited by 193
Kozai, T. D. Y., & Kipke, D. R. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.08.002 · Cited by 186
Self-citationMechanically adaptive intracortical implants improve the proximity of neuronal cell bodies
Harris, J. P., Capadona, J. R., Miller, R. H., Healy, B. C., Shanmuganathan, K., Rowan, S. J., Weder, C., & Tyler, D. J. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/6/066011 · Cited by 192
Mechanically Adaptive Organic Transistors for Implantable Electronics
Reeder, J. T., Kaltenbrunner, M., Ware, T. H., Arreaga‐Salas, D., Avendaño-Bolívar, A., Yokota, T., Inoue, Y., Sekino, M., Voit, W., Sekitani, T., et al. (2014) · Advanced Materials · doi:10.1002/adma.201400420 · Cited by 187
Kozai, T. D. Y., Marzullo, T., Hooi, F. M., Langhals, N. B., Majewska, A. K., Brown, E. B., & Kipke, D. R. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/4/046011 · Cited by 184
Self-citationFlexible, Penetrating Brain Probes Enabled by Advances in Polymer Microfabrication
Weltman, A., Yoo, J. J., & Meng, E. F. (2016) · Micromachines · doi:10.3390/mi7100180 · Cited by 192
Spencer, K. C., Sy, J. C., Ramadi, K. B., Graybiel, A. M., Langer, R., & Cima, M. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-02107-2 · Cited by 191
Large enhancement in neurite outgrowth on a cell membrane-mimicking conducting polymer
Zhu, B., Luo, S., Zhao, H., Lin, H., Sekine, J., Nakao, A., Chen, C., Yamashita, Y., & Yu, H. (2014) · Nature Communications · doi:10.1038/ncomms5523 · Cited by 177
Li, Y., Li, N., Liu, W., Promiński, A., Kang, S., Dai, Y., Liu, Y., Hu, H., Wai, S., Dai, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40191-3 · Cited by 171
Wen, X., Wang, B., Huang, S., Liu, T. “., Lee, M., Chung, P., Chow, Y. T., Huang, I.-W., Monbouquette, H. G., Maidment, N. T., et al. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.01.060 · Cited by 162
Semiconducting Polymers for Neural Applications
Dimov, I. B., Moser, M., Malliaras, G. G., & McCulloch, I. A. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00685 · Cited by 163
In Vivo Penetration Mechanics and Mechanical Properties of Mouse Brain Tissue at Micrometer Scales
Sharp, A. A., Ortega, A. M., Restrepo, D., Curran-Everett, D., & Gall, K. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2003261 · Cited by 157
Rao, L., Zhou, H., Li, T., Li, C., & Duan, Y. Y. (2012) · Acta Biomaterialia · doi:10.1016/j.actbio.2012.03.001 · Cited by 159
In vivodeployment of mechanically adaptive nanocomposites for intracortical microelectrodes
Harris, J. P., Hess‐Dunning, A., Rowan, S. J., Weder, C., Zorman, C. A., Tyler, D. J., & Capadona, J. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/046010 · Cited by 159
Kozai, T. D. Y., & Vazquez, A. L. (2015) · Journal of Materials Chemistry B · doi:10.1039/c5tb00108k · Cited by 154
Luan, L., Robinson, J. T., Aazhang, B., Chi, T., Yang, K., Li, X., Rathore, H., Singer, A., Yellapantula, S., Fan, Y., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.10.011 · Cited by 150
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
Kozai, T. D. Y., Li, X., Bodily, L. M., Caparosa, E. M., Zenonos, G. A., Carlisle, D. L., Friedlander, R. M., & Cui, X. T. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.08.006 · Cited by 136
Tien, L. W., Wu, F., Tang‐Schomer, M. D., Yoon, E., Omenetto, F. G., & Kaplan, D. L. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201203716 · Cited by 136
Long-term changes in the material properties of brain tissue at the implant–tissue interface
Sridharan, A., Rajan, S. D., & Muthuswamy, J. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066001 · Cited by 133
Elastic and viscoelastic characterization of agar
Nayar, V. T., Weiland, J. D., Nelson, C. S., & Hodge, A. M. (2011) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2011.05.027 · Cited by 133
Repeated voltage biasing improves unit recordings by reducing resistive tissue impedances
Johnson, M. D., Otto, K. J., & Kipke, D. R. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.847373 · Cited by 131
Self-citationSU-8 based microprobes for simultaneous neural depth recording and drug delivery in the brain
Altuna, A., Bellistri, E., Cid, E., Aivar, P., Gal, B., Berganzo, J., Gabriel, G., Guimerà‐Brunet, A., Villa, R., Fernández, L. J., et al. (2013) · Lab on a Chip · doi:10.1039/c3lc41364k · Cited by 129
Novel flexible Parylene neural probe with 3D sheath structure for enhancing tissue integration
Kuo, J. T. W., Kim, B., Hara, S. A., Lee, C. D., Gutierrez, C. A., Hoang, T. Q., & Meng, E. F. (2012) · Lab on a Chip · doi:10.1039/c2lc40935f · Cited by 127
Thiol‐ene/acrylate substrates for softening intracortical electrodes
Ware, T. H., Simon, D., Liu, H. C., Musa, T., Vasudevan, S., Sloan, A. M., Keefer, E. W., Rennaker, R. L., & Voit, W. (2013) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbmb.32946 · Cited by 126
Helton, K. L., Ratner, B. D., & Wisniewski, N. A. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500317 · Cited by 125
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
Toward a self-deploying shape memory polymer neuronal electrode
Sharp, A. A., Panchawagh, H. V., Ortega, A., Artale, R., Richardson-Burns, S., Finch, D. S., Gall, K., Mahajan, R. L., & Restrepo, D. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/4/l02 · Cited by 113
Fluidic Microactuation of Flexible Electrodes for Neural Recording
Vitale, F., Vercosa, D. G., Rodriguez, A. V., Pamulapati, S. S., Seibt, F., Lewis, E., Yan, J. S., Badhiwala, K. N., Adnan, M., Carfagni, G. R., et al. (2017) · Nano Letters · doi:10.1021/acs.nanolett.7b04184 · Cited by 116
Lee, H. C., Ejserholm, F., Gaire, J., Currlin, S., Schouenborg, J., Wallman, L., Bengtsson, M., Park, K., & Otto, K. J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa68f0 · Cited by 115
A Novel Anti‐inflammatory Surface for Neural Electrodes
He, W. J., McConnell, G. C., Schneider, T. M., & Bellamkonda, R. V. (2007) · Advanced Materials · doi:10.1002/adma.200700943 · Cited by 114
Compliant intracortical implants reduce strains and strain rates in brain tissuein vivo
Sridharan, A., Nguyen, J. K., Capadona, J. R., & Muthuswamy, J. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/3/036002 · Cited by 112
Karumbaiah, L., Norman, S. E., Rajan, N. B., Anand, S., Saxena, T. K., Betancur, M. I., Patkar, R., & Bellamkonda, R. V. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.05.021 · Cited by 107
Chen, Y., Lai, H.-Y., Lin, S.-H., Chao, W.-H., Chao, W.-H., Liao, C., Tsang, S., Chen, Y., & Lin, S.-Y. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.05.010 · Cited by 110
The sinusoidal probe: a new approach to improve electrode longevity
Sohal, H. S., Jackson, A., Jackson, R., Clowry, G. J., Vassilevski, K. V., O’Neill, A., & Baker, S. N. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00010 · Cited by 107
3D Electrodes for Bioelectronics
Cho, Y. H., Park, Y., Kim, S., & Park, J. (2021) · Advanced Materials · doi:10.1002/adma.202005805 · Cited by 110
Helton, K. L., Ratner, B. D., & Wisniewski, N. A. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500318 · Cited by 102
Ultraflexible Neural Electrodes for Long-Lasting Intracortical Recording
He, F., Lycke, R., Ganji, M., Xie, C., & Luan, L. (2020) · iScience · doi:10.1016/j.isci.2020.101387 · Cited by 100
Mechanically adaptive nanocomposites for neural interfacing
Capadona, J. R., Tyler, D. J., Zorman, C. A., Rowan, S. J., & Weder, C. (2012) · MRS Bulletin · doi:10.1557/mrs.2012.97 · Cited by 101
Miniaturized optogenetic neural implants: a review
Fan, B., & Li, W. (2015) · Lab on a Chip · doi:10.1039/c5lc00588d · Cited by 99
Thin microelectrodes reduce GFAP expression in the implant site in rodent somatosensory cortex
Stice, P., Gilletti, A., Panitch, A., & Muthuswamy, J. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/005 · Cited by 101
Hess‐Dunning, A., Capadona, J. R., Shanmuganathan, K., Hsu, L., Rowan, S. J., Weder, C., Tyler, D. J., & Zorman, C. A. (2011) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/21/5/054009 · Cited by 96
Conformable polyimide-based μECoGs: Bringing the electrodes closer to the signal source
Vomero, M., Porto Cruz, M. F., Zucchini, E., Ciarpella, F., Delfino, E., Carli, S., Boehler, C., Asplund, M., Ricci, D., Fadiga, L., et al. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120178 · Cited by 95
Widge, A. S., Jeffries‐EL, M., Cui, X. T., Lagenaur, C. F., & Matsuoka, Y. (2006) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2006.08.011 · Cited by 94
Hydrogels for next generation neural interfaces
Cheng, S., Zhu, R., & Xu, X. (2024) · Communications Materials · doi:10.1038/s43246-024-00541-0 · Cited by 96
Elastomeric and soft conducting microwires for implantable neural interfaces
Kolarcik, C. L., Luebben, S. D., Sapp, S. A., Hanner, J., Snyder, N. R., Kozai, T. D. Y., Chang, E., Nabity, J., Nabity, S. T., Lagenaur, C. F., et al. (2015) · Soft Matter · doi:10.1039/c5sm00174a · Cited by 90
Bioinspired Materials for In Vivo Bioelectronic Neural Interfaces
Woods, G. A., Rommelfanger, N. J., & Hong, G. (2020) · Matter · doi:10.1016/j.matt.2020.08.002 · Cited by 89
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
Insertion of Flexible Neural Probes Using Rigid Stiffeners Attached with Biodissolvable Adhesive
Felix, S. H., Shah, K. G., Tolosa, V. M., Sheth, H. J., Tooker, A., Delima, T. L., Jadhav, S. P., Frank, L. M., & Pannu, S. S. (2013) · Journal of Visualized Experiments · doi:10.3791/50609 · Cited by 87
Tissue-Compliant Neural Implants from Microfabricated Carbon Nanotube Multilayer Composite
Zhang, H., Patel, P. R., Xie, Z., Swanson, S. D., Wang, X., & Kotov, N. A. (2013) · ACS Nano · doi:10.1021/nn402074y · Cited by 88
In Vivo Chemical Sensors: Role of Biocompatibility on Performance and Utility
Soto, R. J., Hall, J. R., Brown, M. D., Taylor, J. B., & Schoenfisch, M. H. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04251 · Cited by 87
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
A Parylene Neural Probe Array for Multi-Region Deep Brain Recordings
Wang, X., Weltman, A., Xu, H., Slingsby-Smith, Z., Lecomte, A., Scholten, K., Song, D. B., & Meng, E. F. (2020) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2020.3000235 · Cited by 87
Lai, H., Liao, L., Lin, C., Hsu, J.-H., He, X., Chen, Y., Chang, J.-Y., Chen, H.-F., Tsang, S., & Shih, Y. I. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/3/036001 · Cited by 83
A silk-based self-adaptive flexible opto-electro neural probe
Zhou, Y., Gu, C., Liang, J., Zhang, B., Yang, H., Zhou, Z., Li, M., Sun, L., Tao, T. H., & Wei, X. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00461-4 · Cited by 81
Flexible, diamond-based microelectrodes fabricated using the diamond growth side for neural sensing
Fan, B., Rusinek, C. A., Thompson, C. H., Setien, M. B., Guo, Y., Rechenberg, R., Gong, Y. P., Weber, A. J., Becker, M., Purcell, E. K., et al. (2020) · Microsystems & Nanoengineering · doi:10.1038/s41378-020-0155-1 · Cited by 78
Layered Nanocomposites from Gold Nanoparticles for Neural Prosthetic Devices
Zhang, H., Shih, J., Zhu, J. G., & Kotov, N. A. (2012) · Nano Letters · doi:10.1021/nl3015632 · Cited by 78
Melatonin improves quality and longevity of chronic neural recording
Golabchi, A., Wu, B., Li, X., Carlisle, D. L., Kozai, T. D. Y., Friedlander, R. M., & Cui, X. T. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.07.026 · Cited by 74
Martin, D. C. (2015) · MRS Communications · doi:10.1557/mrc.2015.17 · Cited by 79
Self-citationSU-8 based microprobes with integrated planar electrodes for enhanced neural depth recording
Altuna, A., de la Prida, L. M., Bellistri, E., Gabriel, G., Guimerà‐Brunet, A., Berganzo, J., Villa, R., & Fernández, L. J. (2012) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2012.03.039 · Cited by 76
Study of functional viability of SU-8-based microneedles for neural applications
Fernández, L. J., Altuna, A., Tijero, M., Gabriel, G., Villa, R., Rodríguez, M. J., Batlle, M., Vilares, R., Berganzo, J., & Blanco, F. J. (2009) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/19/2/025007 · Cited by 76
Smart Polymers for Neural Interfaces
Ware, T. H., Simon, D., Rennaker, R. L., & Voit, W. (2013) · Journal of macromolecular science. Part C, Reviews in macromolecular chemistry and physics/Journal of macromolecular science. Reviews in macromolecular chemistry and physics · doi:10.1080/15583724.2012.751924 · Cited by 76
Fekete, Z., & Pongracz, A. (2016) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2016.12.096 · Cited by 76
Metallo, C., White, R. D., & Trimmer, B. A. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.12.005 · Cited by 72
Welkenhuysen, M., Andrei, A., Ameye, L., Eberle, W., & Nuttin, B. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2166963 · Cited by 77
Ji, B., Xie, Z., Hong, W., Jiang, C., Guo, Z., Wang, L., Wang, X., Yang, B. T., & Liu, J. (2019) · Journal of Materiomics · doi:10.1016/j.jmat.2019.11.006 · Cited by 68
Sohal, H. S., Clowry, G. J., Jackson, A., O'Neill, A. G., & Baker, S. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165606 · Cited by 70
Subcellular Neural Probes from Single-Crystal Gold Nanowires
Kang, M., Jung, S., Zhang, H., Kang, T., Kang, H., Yoo, Y., Hong, J.-P., Ahn, J.-P., Kwak, J., Jeon, D., et al. (2014) · ACS Nano · doi:10.1021/nn5024522 · Cited by 64
Brain–computer interfaces: an overview of the hardware to record neural signals from the cortex
Stieglitz, T., Rubehn, B., Henle, C., Kisban, S., Herwik, S., Ruther, P., & Schüettler, M. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17521-0 · Cited by 63
Metadata
- Authors
- Subbaroyan, J., Martin, D. C., & Kipke, D. R.
- Affiliations
- University of Michigan (US)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2005-10-11
- Volume
- 2
- Issue
- 4
- Pages
- 103-113
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W1982562840
- Cited by
- 368
- References
- 46
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 14 · 2023: 17 · 2022: 15 · 2021: 21 · 2020: 27 · 2019: 19 · 2018: 29 · 2017: 15 · 2016: 24 · 2015: 23 · 2014: 20 · 2013: 24 · 2012: 14
- FWCI
- 3.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Science Foundation (9986866)
- National Aeronautics and Space Administration
- National Institutes of Health
- National Nanotechnology Coordinating Office
- National Institute of Biomedical Imaging and Bioengineering (P41 EB-00 230-10)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- implantable microelectrodes, cerebral cortex, interfacial strain, silicon probes, tissue encapsulation, electrophysiological recording, neurostimulation
- MeSH terms
- Animals, Biomechanical Phenomena, Cerebral Cortex, Computer Simulation, Elasticity, Electrodes, Implanted, Humans, Microelectrodes, Models, Neurological, Motion, Physical Stimulation, Stress, Mechanical, Finite Element Analysis, Mechanotransduction, Cellular
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
