Cited by 368Neuroscience and Neural EngineeringCellular Mechanics and InteractionsAnalog and Mixed-Signal Circuit Design

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 access

Subbaroyan, Jeyakumar, Martin, David C, Kipke, Daryl R·2005·Journal of Neural Engineering

DOI 10.1088/1741-2560/2/4/006

Open this paper in CoChat — free account Open PDF

Abstract

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.

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 · 10.1088/1741-2560/2/4/006

Cites

46 of 46 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.

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
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
Self-citation
Brain 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-citation
Regional, 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

Show all 46 references

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

Sorted by citations

Items 101–200 of 367

Nanotunnels within Poly(3,4-ethylenedioxythiophene)-Carbon Nanotube Composite for Highly Sensitive Neural Interfacing
Chen, N., Luo, B., Patil, A. C., Wang, J., Gammad, G. G. L., Yi, Z., Liu, X., Yen, S.-C., Ramakrishna, S., & Thakor, N. V. (2020) · ACS Nano · doi:10.1021/acsnano.0c00672 · Cited by 64
SU-8 microprobe with microelectrodes for monitoring electrical impedance in living tissues
Tijero, M., Gabriel, G., Caro, J., Altuna, A., Hernández, R., Villa, R., Berganzo, J., Blanco, F. J., Salido, R., & Fernández, L. J. (2008) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2008.12.019 · Cited by 63
Influence of resveratrol release on the tissue response to mechanically adaptive cortical implants
Nguyen, J. K., Jorfi, M., Buchanan, K. L., Park, D. J., Foster, E. J., Tyler, D. J., Rowan, S. J., Weder, C., & Capadona, J. R. (2015) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.11.001 · Cited by 63
Flexible microfluidic devices supported by biodegradable insertion scaffolds for convection-enhanced neural drug delivery
Foley, C. P., Nishimura, N., Neeves, K. B., Schaffer, C. B., & Olbricht, W. L. (2009) · Biomedical Microdevices · doi:10.1007/s10544-009-9308-6 · Cited by 60
Long-term stability of intracortical recordings using perforated and arrayed Parylene sheath electrodes.
Hara, S. A., Kim, B. J., Kuo, J. T. W., Lee, C. D., Meng, E., & Pikov, V. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/066020 · Cited by 57
Design and demonstration of an intracortical probe technology with tunable modulus
Simon, D., Charkhkar, H., John, C. S., Rajendran, S. H., Kang, T. H., Reit, R., Arreaga‐Salas, D., McHail, D. G., Knaack, G. L., Sloan, A. M., et al. (2016) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.35896 · Cited by 59
Neural Probes for Chronic Applications
Kook, G., Lee, S., Lee, H., Cho, I., & Lee, H. J. (2016) · Micromachines · doi:10.3390/mi7100179 · Cited by 61
Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems
Cutrone, A., & Micera, S. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201801345 · Cited by 58
Host response to microgel coatings on neural electrodes implanted in the brain
Gutowski, S. M., Templeman, K. L., South, A. B., Gaulding, J. C., Shoemaker, J. T., LaPlaca, M. C., Bellamkonda, R. V., Lyon, L. A., & Garcı́a, A. J. (2013) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.34799 · Cited by 57
Highly-compliant, microcable neuroelectrodes fabricated from thin-film gold and PDMS
McClain, M. A., Clements, I. P., Shafer, R. H., Bellamkonda, R. V., LaPlaca, M. C., & Allen, M. G. (2011) · Biomedical Microdevices · doi:10.1007/s10544-010-9505-3 · Cited by 57
Extracellular matrix-based intracortical microelectrodes: Toward a microfabricated neural interface based on natural materials
Shen, W., Karumbaiah, L., Liu, X., Saxena, T. K., Chen, S., Patkar, R., Bellamkonda, R. V., & Allen, M. G. (2015) · Microsystems & Nanoengineering · doi:10.1038/micronano.2015.10 · Cited by 61
Progress and challenges of implantable neural interfaces based on nature-derived materials
Riva, E. R., & Micera, S. (2021) · Bioelectronic Medicine · doi:10.1186/s42234-021-00067-7 · Cited by 59
A comparison of polymer substrates for photolithographic processing of flexible bioelectronics
Simon, D., Ware, T. H., Marcotte, R. J., Lund, B. R., Smith, D. W., Prima, M. A. D., Rennaker, R. L., & Voit, W. (2013) · Biomedical Microdevices · doi:10.1007/s10544-013-9782-8 · Cited by 57
Chronic Intracortical Recording and Electrochemical Stability of Thiol-ene/Acrylate Shape Memory Polymer Electrode Arrays
Stiller, A. M., Usoro, J. O., Frewin, C. L., Danda, V. R., Ecker, M., Joshi‐Imre, A., Musselman, K. C., Voit, W. E., Modi, R., Pancrazio, J. J., et al. (2018) · Micromachines · doi:10.3390/mi9100500 · Cited by 56
Perioperative Brain Shift and Deep Brain Stimulating Electrode Deformation Analysis: Implications for rigid and non-rigid devices
Sillay, K. A., Kumbier, L., Ross, C., Brady, M., Alexander, A. L., Gupta, A. K., Adluru, N., Miranpuri, G. S., & Williams, J. C. (2012) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0650-0 · Cited by 54
Design and Implementation Challenges of Microelectrode Arrays: A Review
Ghane-Motlagh, B., & Sawan, M. (2013) · Materials Sciences and Applications · doi:10.4236/msa.2013.48059 · Cited by 57
Extraction Force and Cortical Tissue Reaction of Silicon Microelectrode Arrays Implanted in the Rat Brain
McConnell, G. C., Schneider, T. M., Owens, D. J., & Bellamkonda, R. V. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895373 · Cited by 53
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
A three-dimensional flexible microprobe array for neural recording assembled through electrostatic actuation
Chen, C., Chuang, S.-C., Su, H., Hsu, W.-L., Yew, T., Chang, Y., Yeh, S., & Yao, D. (2011) · Lab on a Chip · doi:10.1039/c0lc00718h · 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
Encapsulating Elastically Stretchable Neural Interfaces: Yield, Resolution, and Recording/Stimulation of Neural Activity
Graudejus, O., Morrison, B., Goletiani, C. J., Yu, Z., & Wagner, S. (2011) · Advanced Functional Materials · doi:10.1002/adfm.201102290 · Cited by 50
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
Wireless opto-electro neural interface for experiments with small freely behaving animals
Jia, Y., Khan, W., Lee, B., Fan, B., Madi, F., Weber, A., Li, W., & Ghovanloo, M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac810 · Cited by 47
Micro- and Nanotechnologies for Optical Neural Interfaces
Pisanello, F., Sileo, L., & Vittorio, M. D. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00070 · Cited by 49
Materials approaches for modulating neural tissue responses to implanted microelectrodes through mechanical and biochemical means
Sommakia, S., Lee, H. C., Gaire, J., & Otto, K. J. (2014) · Current Opinion in Solid State and Materials Science · doi:10.1016/j.cossms.2014.07.005 · Cited by 48
Influence of strain rate on indentation response of porcine brain
Qian, L., Zhao, H., Guo, Y., Li, Y., Zhou, M., Yang, L., Wang, Z., & Sun, Y. (2018) · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · doi:10.1016/j.jmbbm.2018.03.031 · Cited by 45
Untitled work
Carnicer-Lombarte (2019) · doi:10.1101/829648 · Cited by 46
A three dimensional in vitro glial scar model to investigate the local strain effects from micromotion around neural implants
Spencer, K. C., Sy, J. C., Falcón‐Banchs, R., & Cima, M. J. (2017) · Lab on a Chip · doi:10.1039/c6lc01411a · Cited by 47
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
SU-8-based microneedles forin vitroneural applications
Altuna, A., Gabriel, G., de la Prida, L. M., Tijero, M., Guimerà‐Brunet, A., Berganzo, J., Salido, R., Villa, R., & Fernández, L. J. (2010) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/20/6/064014 · Cited by 45
Fully flexible implantable neural probes for electrophysiology recording and controlled neurochemical modulation
Malekoshoaraie, M. H., Wu, B., Krahe, D. D., Ahmed, Z., Pupa, S., Jain, V., Cui, X. T., & Chamanzar, M. (2024) · Microsystems & Nanoengineering · doi:10.1038/s41378-024-00685-6 · Cited by 48
Glial Interfaces: Advanced Materials and Devices to Uncover the Role of Astroglial Cells in Brain Function and Dysfunction
Maiolo, L., Guarino, V., Saracino, E., Convertino, A., Melucci, M., Muccini, M., Ambrosio, L., Zamboni, R., & Benfenati, V. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.202001268 · Cited by 49
Mechanically Matched Silicone Brain Implants Reduce Brain Foreign Body Response
Zhang, E. N., Clément, J., Alameri, A., Ng, A., Kennedy, T. E., & Juncker, D. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202000909 · Cited by 43
Nanostructured Coatings for Improved Charge Delivery to Neurons
Kozai, T. D. Y., Alba, N. A., Zhang, H., Kotov, N. A., Gaunt, R. A., & Cui, X. T. (2014) · Springer eBooks · doi:10.1007/978-1-4899-8038-0_4 · Cited by 43
Conducting polymer electrodes for auditory brainstem implants
Guex, A., Vachicouras, N., Hight, A. E., Brown, M. C., Lee, D. J., & Lacour, S. P. (2015) · Journal of Materials Chemistry B · doi:10.1039/c5tb00099h · Cited by 45
Integration of High-Charge-Injection-Capacity Electrodes onto Polymer Softening Neural Interfaces
Arreaga‐Salas, D., Avendaño-Bolívar, A., Simon, D., Reit, R., Garcia‐Sandoval, A., Rennaker, R. L., & Voit, W. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b08139 · Cited by 41
Brain-Machine Interface Engineering
Sanchez, J. C., & Príncipe, J. C. (2007) · Synthesis lectures on biomedical engineering · doi:10.1007/978-3-031-01621-9 · Cited by 42
Quantifying the effects of the electrode–brain interface on the crossing electric currents in deep brain recording and stimulation
Yousif, N., Bayford, R. H., Shuo, W. A. N. G., & Liu, X. (2008) · Neuroscience · doi:10.1016/j.neuroscience.2008.01.023 · Cited by 40
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
Next-Generation Diamond Electrodes for Neurochemical Sensing: Challenges and Opportunities
Purcell, E. K., Becker, M., Guo, Y., Hara, S. A., Ludwig, K. A., McKinney, C., Monroe, E., Rechenberg, R., Rusinek, C. A., Saxena, A., et al. (2021) · Micromachines · doi:10.3390/mi12020128 · Cited by 41
Engineering and commercialization of human-device interfaces, from bone to brain
Tate, M. L. K., Detamore, M. S., Capadona, J. R., Woolley, A. J., & Knothe, U. R. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.03.038 · Cited by 40
Biomimetic extracellular matrix coatings improve the chronic biocompatibility of microfabricated subdural microelectrode arrays
Vitale, F., Shen, W., Driscoll, N., Burrell, J. C., Richardson, A. G., Adewole, D. O., Murphy, B. B., Ananthakrishnan, A., Oh, H., Wang, T., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206137 · Cited by 39
Computational assessment of neural probe and brain tissue interface under transient motion.
Polanco, M., Bawab, S., & Yoon, H. (2016) · Biosensors · doi:10.3390/bios6020027 · Cited by 36
Research 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
Fabrication and evaluation of conductive elastomer electrodes for neural stimulation
Keohan, F. L., Wei, X. F., Wongsarnpigoon, A., Lazaro, E., Darga, J. E., & Grill, W. M. (2007) · Journal of Biomaterials Science Polymer Edition · doi:10.1163/156856207781494395 · Cited by 36
Magnetic PEDOT hollow capsules with single holes
Luo, S., Jiang, J., Liour, S. S., Gao, S., Ying, J. Y., & Yu, H. (2009) · Chemical Communications · doi:10.1039/b821989c · Cited by 36
Thiol‐ C lick Chemistries for Responsive Neural Interfaces
Ware, T. H., Simon, D., Hearon, K., Kang, T. H., Maitland, D. J., & Voit, W. E. (2013) · Macromolecular Bioscience · doi:10.1002/mabi.201300272 · Cited by 35
Biocompatibility of a polymer based on Off-Stoichiometry Thiol-Enes + Epoxy (OSTE+) for neural implants
Ejserholm, F., Stegmayr, J., Bauer, P., Johansson, F., Wallman, L., Bengtsson, M., & Oredsson, S. (2015) · Biomaterials Research · doi:10.1186/s40824-015-0041-3 · Cited by 35
Modeling the Insertion Mechanics of Flexible Neural Probes Coated with Sacrificial Polymers for Optimizing Probe Design
Singh, S., Lo, M.-C., Damodaran, V. B., Kaplan, H. M., Kohn, J., Zahn, J. D., & Shreiber, D. I. (2016) · Sensors · doi:10.3390/s16030330 · 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
Collagenase-Aided Intracortical Microelectrode Array Insertion: Effects on Insertion Force and Recording Performance
Paralikar, K. J., & Clement, R. S. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.923150 · Cited by 34
3D-printed flexible neural probes for recordings at single-neuron level
Momin, M., Feng, L., Ahmed, S., Ren, J., Hossain, A., Zhang, S., & Zhou, T. (2024) · Device · doi:10.1016/j.device.2024.100519 · Cited by 33
Mechanical Cycling Stability of Organic Thin Film Transistors on Shape Memory Polymers
Avendaño-Bolívar, A., Ware, T. H., Arreaga‐Salas, D., Simon, D., & Voit, W. (2013) · Advanced Materials · doi:10.1002/adma.201203976 · Cited by 33
CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings
Köllő, M., Rácz, R., Hanna, M.-E., Obaid, A., Angle, M. R., Wray, W., Kong, Y., Hierlemann, A. R., Müller, J., Melosh, N. A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00834 · Cited by 31
In vitro and in vivo characterization of SU-8 flexible neuroprobe: From mechanical properties to electrophysiological recording
Huang, S.-H., Lin, S., & Chen, J. J. (2014) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2014.06.005 · Cited by 33
Overcoming failure: improving acceptance and success of implanted neural interfaces
Dalrymple, A. N., Jones, S. T., Fallon, J. B., Shepherd, R. K., & Weber, D. J. (2025) · Bioelectronic Medicine · doi:10.1186/s42234-025-00168-7 · Cited by 38
Degradable, silyl ether thiol–ene networks
Ware, T. H., Jennings, A. R., Bassampour, Z. S., Simon, D., Son, D. Y., & Voit, W. (2014) · RSC Advances · doi:10.1039/c4ra06997h · Cited by 32
Advancements in Biological Neural Interfaces Using Conducting Polymers: A Review
Parashar, K., Prajapati, D. G., McIntyre, R., & Kandasubramanian, B. (2020) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.0c00174 · Cited by 32
A Mechanically-Adaptive Polymer Nanocomposite-Based Intracortical Probe and Package for Chronic Neural Recording
Hess‐Dunning, A., & Tyler, D. J. (2018) · Micromachines · doi:10.3390/mi9110583 · Cited by 32
Mechanically Robust, Softening Shape Memory Polymer Probes for Intracortical Recording
Stiller, A. M., Usoro, J. O., Lawson, J. M., Araya, B., González‐González, M. A., Danda, V. R., Voit, W. E., Black, B., & Pancrazio, J. J. (2020) · Micromachines · doi:10.3390/mi11060619 · Cited by 30
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
A Molecular Perspective on Understanding and Modulating the Performance of Chronic Central Nervous System (CNS) Recording Electrodes
He, W. J., & Bellamkonda, R. V. (2007) · Frontiers in neuroengineering series/Frontiers in neuroengineering · doi:10.1201/9781420009309.pt4 · Cited by 32
CMOS Neural Probe With 1600 Close-Packed Recording Sites and 32 Analog Output Channels
Herbawi, A. S., Christ, O., Kiessner, L., Mottaghi, S., Hofmann, U., Paul, O., & Ruther, P. (2018) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2018.2872619 · Cited by 30
Chronic neural recording with probes of subcellular cross-section using 0.06 mm² dissolving microneedles as insertion device
Ceyssens, F., Carmona, M. B., Kil, D., Deprez, M., Tooten, E., Nuttin, B., Takeoka, A., Balschun, D., Kraft, M. D., & Puers, R. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.12.030 · Cited by 29
Advancing the interfacing performances of chronically implantable neural probes in the era of CMOS neuroelectronics
Perna, A., Angotzi, G. N., Berdondini, L., & Ribeiro, J. F. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1275908 · Cited by 30
An intrinsically stretchable power-source system for bioelectronics
Cheng, P., Dai, S., Liu, Y., Li, Y., Hayashi, H., Papani, R., Su, Q., Li, N., Dai, Y., Liu, W., et al. (2023) · Device · doi:10.1016/j.device.2023.100216 · Cited by 29
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
Understanding the Effects of Both CD14-Mediated Innate Immunity and Device/Tissue Mechanical Mismatch in the Neuroinflammatory Response to Intracortical Microelectrodes
Bedell, H. W., Song, S., Li, X., Molinich, E., Lin, S., Stiller, A. M., Danda, V. R., Ecker, M., Shoffstall, A. J., Voit, W. E., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00772 · Cited by 29
Classifying Intracortical Brain-Machine Interface Signal Disruptions Based on System Performance and Applicable Compensatory Strategies: A Review
Dunlap, C. F., Colachis, S. C., Meyers, E., Bockbrader, M. A., & Friedenberg, D. A. (2020) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2020.558987 · Cited by 30
Soft optical fiber curvature sensor for finger joint angle proprioception
Li, H., Li, H., Lou, X., Meng, F., & Zhu, L. (2018) · Optik · doi:10.1016/j.ijleo.2018.10.187 · Cited by 28
Design and Fabrication of a Flexible Substrate Microelectrode Array for Brain Machine Interfaces
Patrick, E. E., Ordonez, M., Alba, N. A., Sanchez, J. C., & Nishida, T. (2006) · Conference proceedings · doi:10.1109/iembs.2006.260581 · Cited by 28
Minimally-invasive insertion strategy and in vivo evaluation of multi-shank flexible intracortical probes
Srikantharajah, K., Quintela, R. M., Doerenkamp, K., Kampa, B. M., Musall, S., Rothermel, M., & Offenhäusser, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-97940-x · Cited by 28
Biocompatibility of common implantable sensor materials in a tumor xenograft model
Gray, M., Meehan, J., Blair, E. O., Ward, C., Langdon, S. P., Morrison, L. R., Marland, J. R. K., Tsiamis, A., Kunkler, I. H., Murray, A., et al. (2018) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.34254 · Cited by 25
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
Micromotion Derived Fluid Shear Stress Mediates Peri‐Electrode Gliosis through Mechanosensitive Ion Channels
Trotier, A., Bagnoli, E., Walski, T., Evers, J., Pugliese, E., Lowery, M. M., Kilcoyne, M., FitzGerald, U., & Biggs, M. J. P. (2023) · Advanced Science · doi:10.1002/advs.202301352 · Cited by 28
Polymer SU-8-Based Microprobes for Neural Recording and Drug Delivery
Altuna, A., Berganzo, J., & Fernández, L. J. (2015) · Frontiers in Materials · doi:10.3389/fmats.2015.00047 · Cited by 25
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
Surface modification of neural electrodes with a pyrrole-hyaluronic acid conjugate to attenuate reactive astrogliosis in vivo
Lee, J. Y., Khaing, Z. Z., Siegel, J. J., & Schmidt, C. E. (2015) · RSC Advances · doi:10.1039/c5ra03294f · Cited by 25
Evaluating the in vivo glial response to miniaturized parylene cortical probes coated with an ultra-fast degrading polymer to aid insertion
Lo, M.-C., Wang, S., Singh, S., Damodaran, V. B., Ahmed, I., Coffey, K. R., Barker, D., Saste, K., Kals, K., Kaplan, H. M., et al. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9fad · Cited by 22
Development of a Polydimethylsiloxane‐Based Electrode Array for Electrocorticography
Lee, K. Y., Moon, H., Kim, B., Kang, Y. N., Jang, J. W., Choe, H. K., & Kim, S. (2020) · Advanced Materials Interfaces · doi:10.1002/admi.202001152 · 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
Biomechanical Strain Analysis at the Interface of Brain and Nanowire Electrodes on a Neural Probe
Zhu, R., Huang, G. L., Yoon, H., Smith, C. S., & Varadan, V. K. (2011) · Journal of Nanotechnology in Engineering and Medicine · doi:10.1115/1.4005484 · Cited by 23
Chronic intracortical implantation of saccharose-coated flexible shaft electrodes into the cortex of rats
Hassler, C., Guy, J., Nietzschmann, M., Staiger, J. F., & Stieglitz, T. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090143 · Cited by 23
3-D Flexible Nano-Textured High-Density Microelectrode Arrays for High-Performance Neuro-Monitoring and Neuro-Stimulation
Gabran, S. R. I., Salam, M. T., Dian, J. A., El-Hayek, Y. H., Velázquez, J. L. P., Genov, R., Carlen, P. L., Salama, M. M. A., & Mansour, R. R. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2322077 · Cited by 23
Placing Sites on the Edge of Planar Silicon Microelectrodes Enhances Chronic Recording Functionality
Lee, H. C., Gaire, J., Roysam, B., & Otto, K. J. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2715811 · Cited by 23
Brain–Machine Interface Engineering
Sanchez, J. C., & Príncipe, J. C. (2007) · Synthesis lectures on biomedical engineering · doi:10.2200/s00053ed1v01y200710bme017 · Cited by 25
PEDOT/CNT Flexible MEAs Reveal New Insights into the Clock Gene's Role in Dopamine Dynamics
Wu, B., Castagnola, E., McClung, C. A., & Cui, X. T. (2024) · Advanced Science · doi:10.1002/advs.202308212 · Cited by 22
Advances in Penetrating Multichannel Microelectrodes Based on the Utah Array Platform
Leber, M., Körner, J., Reiche, C. F., Yin, M., Bhandari, R., Franklin, R. K., Negi, S., & Solzbacher, F. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-2050-7_1 · Cited by 24
Flexible optoelectric neural interfaces
Ahmed, Z., Reddy, J. W., Malekoshoaraie, M. H., Hassanzade, V., Kimukin, Ï., Jain, V., & Chamanzar, M. (2021) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2021.11.001 · Cited by 25
Structural and functional changes of deep layer pyramidal neurons surrounding microelectrode arrays implanted in rat motor cortex
Gregory, B. A., Thompson, C. H., Salatino, J. W., Railing, M. J., Zimmerman, A. F., Gupta, B., Williams, K., Beatty, J. A., Cox, C. L., & Purcell, E. K. (2023) · Acta Biomaterialia · doi:10.1016/j.actbio.2023.07.027 · Cited by 24
A Highly Compliant Serpentine Shaped Polyimide Interconnect for Front-End Strain Relief in Chronic Neural Implants
Sankar, V., Sanchez, J. C., McCumiskey, E. J., Brown, N., Taylor, C. R., Ehlert, G. J., Sodano, H. A., & Nishida, T. (2013) · Frontiers in Neurology · doi:10.3389/fneur.2013.00124 · Cited by 21
The role of flexible polymer interconnects in chronic tissue response induced by intracortical microelectrodes - a modeling and an in vivo study
Subbaroyan, J., & Kipke, D. R. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260517 · Cited by 21
Self-citation
Elastic and viscoelastic mechanical properties of brain tissues on the implanting trajectory of sub-thalamic nucleus stimulation
Li, Y., Deng, J., Zhou, J., & Li, X. (2016) · Journal of Materials Science Materials in Medicine · doi:10.1007/s10856-016-5775-5 · Cited by 21
Hydrolytically Stable Thiol–ene Networks for Flexible Bioelectronics
Reit, R., Zamorano, D., Parker, S., Simon, D., Lund, B. R., Voit, W., & Ware, T. H. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b10593 · Cited by 20
Finite Element Modeling of Magnitude and Location of Brain Micromotion Induced Strain for Intracortical Implants
Abed, A. A., Amatoury, J., & Khraiche, M. L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.727715 · Cited by 20
Thin flexible arrays for long-term multi-electrode recordings in macaque primary visual cortex
Merken, L., Schelles, M., Ceyssens, F., Kraft, M. D., & Janssen, P. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac98e2 · Cited by 19
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
Parylene-Based Electrochemical-MEMS Force Sensor for Studies of Intracortical Probe Insertion Mechanics
Kim, B., Gutierrez, C. A., & Meng, E. F. (2015) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2015.2420043 · Cited by 20
Materials and Structural Designs for Neural Interfaces
Kim, S., Kwon, Y. W., Seo, H., Chung, W. G., Kim, E., Park, W., Song, H., Lee, D. H., Lee, J., Lee, S., et al. (2023) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.2c01608 · Cited by 20
A Benchtop System to Assess Cortical Neural Interface Micromechanics
Das, R., Gandhi, D., Krishnan, S., Saggere, L., & Rousche, P. J. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.897139 · Cited by 19

Authors: Subbaroyan, J., Martin, D. C., & Kipke, D. R.
Affiliations: University of Michigan (US)
ORCID: Subbaroyan, Jeyakumar
Martin, David C
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
DOI: 10.1088/1741-2560/2/4/006
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

A finite-element model of the mechanical effects of implantable microelectrodes in the cerebral cortex

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