Long-term recording reliability of liquid crystal polymer µ ECoG arrays

Woods, Virginia; Trumpis, Michael; Bent, Brinnae; Palopoli-Trojani, Kay; Chiang, Chia-Han; Wang, Charles; Yu, Chunxiu; Insanally, Michele N; Froemke, Robert C; Viventi, Jonathan

doi:10.1088/1741-2552/aae39d

Cited by 63Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignEEG and Brain-Computer Interfaces

Long-term recording reliability of liquid crystal polymer µ ECoG arrays

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Woods, Virginia, Trumpis, Michael, Bent, Brinnae, Palopoli-Trojani, Kay, Chiang, Chia-Han, Wang, Charles, Yu, Chunxiu, Insanally, Michele N +2 more·2018·Journal of Neural Engineering

DOI 10.1088/1741-2552/aae39dPMC PMC6342453

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Abstract

Objective . The clinical use of microsignals recorded over broad cortical regions is largely limited by the chronic reliability of the implanted interfaces. Approach . We evaluated the chronic reliability of novel 61-channel micro-electrocorticographic ( µ ECoG) arrays in rats chronically implanted for over one year and using accelerated aging. Devices were encapsulated with polyimide (PI) or liquid crystal polymer (LCP), and fabricated using commercial manufacturing processes. In vitro failure modes and predicted lifetimes were determined from accelerated soak testing. Successful designs were implanted epidurally over the rodent auditory cortex. Trends in baseline signal level, evoked responses and decoding performance were reported for over one year of implantation. Main results . Devices fabricated with LCP consistently had longer in vitro lifetimes than PI encapsulation. Our accelerated aging results predicted device integrity beyond 3.4 years. Five implanted arrays showed stable performance over the entire implantation period (247–435 d). Our regression analysis showed that impedance predicted signal quality and information content only in the first 31 d of recordings and had little predictive value in the chronic phase (>31 d). In the chronic phase, site impedances slightly decreased yet decoding performance became statistically uncorrelated with impedance. We also employed an improved statistical model of spatial variation to measure sensitivity to locally varying fields, which is typically concealed in standard signal power calculations. Significance . These findings show that µ ECoG arrays can reliably perform in chronic applications in vivo for over one year, which facilitates the development of a high-density, clinically viable interface.

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Approaches to increase density and lower invasiveness of ECoG are currently being developed for humans and animal models.
“Different approaches to increase the density and lower the invasiveness of ECoG are currently being developed for use in humans and animal models176–182.”
From The speech neuroprosthesis (2024) · cites this paper as [179]

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Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705 · see citing works
Probabilistic programming in Python using PyMC3
Salvatier, J., Wiecki, T. V., & Fonnesbeck, C. (2016) · PeerJ Computer Science · doi:10.7717/peerj-cs.55 · Cited by 2,544 · see citing works
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896 · see citing works
ON STATIONARY PROCESSES IN THE PLANE
Whittle, P. J. L. (1954) · Biometrika · doi:10.1093/biomet/41.3-4.434 · Cited by 1,503 · see citing works
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938 · see citing works
Handbook of Spatial Statistics
Gelfand, A. E., Diggle, P. J., Guttorp, P. M., & Montserrat Fuentes, A. (2010) · CRC Press eBooks · doi:10.1201/9781420072884 · Cited by 901 · see citing works
Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study
Cook, M. J., O'Brien, T. J., Berkovic, S. F., Murphy, M. A., Morokoff, A. P., Fabinyi, G., D'Souza, W. J., Yerra, R., Archer, J. S., Litewka, L., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70075-9 · Cited by 881 · see citing works
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 · see citing works
Attentional stimulus selection through selective synchronization between monkey visual areas
Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720 · see citing works
Neural recording and modulation technologies
Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655 · see citing works
Two‐year seizure reduction in adults with medically intractable partial onset epilepsy treated with responsive neurostimulation: Final results of the RNS System Pivotal trial
Heck, C. N., King‐Stephens, D., Massey, A. D., Nair, D. R., Jobst, B. C., Barkley, G. L., Salanova, V., Cole, A. J., Smith, M. C. F., Gwinn, R. P., et al. (2014) · Epilepsia · doi:10.1111/epi.12534 · Cited by 654 · see citing works
Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film
Ludwig, 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 · see citing works
Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates
Barrese, J. C., Rao, N., Paroo, K., Triebwasser, C., Vargas-Irwin, C., Franquemont, L., & Donoghue, J. P. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066014 · Cited by 600 · see citing works
Electrochemical deposition and characterization of poly(3,4-ethylenedioxythiophene) on neural microelectrode arrays
Cui, X. T., & Martin, D. C. (2003) · Sensors and Actuators B Chemical · doi:10.1016/s0925-4005(02)00448-3 · Cited by 581 · see citing works
Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology
Siegle, J. H., Cuevas-López, A., Patel, Y., Abramov, K., Ohayon, S., & Voigts, J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5eea · Cited by 530 · see citing works
Polymers for neural implants
Hassler, C., Boretius, T., & Stieglitz, T. (2011) · Journal of Polymer Science Part B: Polymer Physics · doi:10.1002/polb.22169 · Cited by 501 · see citing works
Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array
Simeral, J. D., Kim, S.-P., Black, M. J., Donoghue, J. P., & Hochberg, L. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/2/025027 · Cited by 496 · see citing works
Implanted neural electrodes cause chronic, local inflammation that is correlated with local neurodegeneration
McConnell, G. C., Rees, H. D., Levey, A. I., Gutekunst, C.-A., Gross, R. E., & Bellamkonda, R. V. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/5/056003 · Cited by 480 · see citing works
High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordings
Worrell, G. A., Gardner, A. B., Stead, S. M., Hu, S., Goerss, S., Cascino, G. J., Meyer, F. B., Marsh, R. W., & Litt, B. (2008) · Brain · doi:10.1093/brain/awn006 · Cited by 455 · see citing works
Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex
Suner, S., Fellows, M. R., Vargas-Irwin, C., Nakata, G. K., & Donoghue, J. P. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.857687 · Cited by 415 · cited 2× · see citing works
“12 while others demonstrate no correlation between impedance and signal quality [5, 6, 105].”
Background
Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants
Williams, J. C., Hippensteel, J. A., Dilgen, J., Shain, W. G., & Kipke, D. R. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/4/007 · Cited by 399 · see citing works
A MEMS-based flexible multichannel ECoG-electrode array
Rubehn, B., Bosman, C., Oostenveld, R., Fries, P., & Stieglitz, T. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/3/036003 · Cited by 387 · see citing works
Electrical properties of implant encapsulation tissue
Grill, W. M., & Mortimer, J. T. (1994) · Annals of Biomedical Engineering · doi:10.1007/bf02368219 · Cited by 376 · see citing works
Five-year safety and performance results from the argus II retinal prosthesis system clinical trial.
da Cruz, L., Dorn, J. D., Humayun, M. S., Dagnelie, G., Handa, J., Barale, P.-O., Sahel, J.-A., Stanga, P. E., Hafezi, F., Safran, A. B., et al. (2016) · Ophthalmology · doi:10.1016/j.ophtha.2016.06.049 · Cited by 359 · see citing works
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
Chestek, C. A., Gilja, V., Nuyujukian, P., Foster, J. D., Fan, J. M., Kaufman, M. T., Churchland, M. M., Rivera-Alvidrez, Z., Cunningham, J. P., Ryu, S. I., et al. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/045005 · Cited by 350 · see citing works
Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models
Gelman, A., & Pardoe, I. (2006) · Technometrics · doi:10.1198/004017005000000517 · Cited by 342 · see citing works
Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkey
Chao (2010) · Frontiers in Neuroengineering · doi:10.3389/fneng.2010.00003 · Cited by 337 · see citing works
Microseizures and the spatiotemporal scales of human partial epilepsy
Stead, M., Bower, M. R., Brinkmann, B. H., Lee, K. H., Marsh, W. R., Meyer, F. B., Litt, B., Gompel, J. J. V., & Worrell, G. A. (2010) · Brain · doi:10.1093/brain/awq190 · Cited by 311 · see citing works
Comprehensive characterization and failure modes of tungsten microwire arrays in chronic neural implants
Prasad, A., Xue, Q.-S., Sankar, V., Nishida, T., Shaw, G., Streit, W. J., & Sanchez, J. C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/5/056015 · Cited by 298 · see citing works
Stability of the interface between neural tissue and chronically implanted intracortical microelectrodes
Liu, X., McCreery, D. B., Carter, R. R., Bullara, L. A., Yuen, T. G. H., & Agnew, W. F. (1999) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.788468 · Cited by 272 · see citing works
In vitro evaluation of the long-term stability of polyimide as a material for neural implants
Rubehn, B., & Stieglitz, T. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.01.053 · Cited by 242 · see citing works
Chronic in vivo stability assessment of carbon fiber microelectrode arrays
Patel, P. R., Zhang, H., Robbins, M. T., Nofar, J. B., Marshall, S. P., Kobylarek, M. J., Kozai, T. D. Y., Kotov, N. A., & Chestek, C. A. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/066002 · Cited by 204 · see citing works
Large-Scale Microelectrode Recordings of High-Frequency Gamma Oscillations in Human Cortex during Sleep
Le Van Quyen, M., Staba, R., Bragin, A., Dickson, C., Valderrama, M., Fried, I., & Engel, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5049-09.2010 · Cited by 189 · see citing works
Organic electronics for high-resolution electrocorticography of the human brain
Khodagholy, D., Gelinas, J. N., Zhao, Z., Yeh, M. H., Long, M. A., Greenlee, J. D. W., Doyle, W., Devinsky, O., & Buzsáki, G. (2016) · Science Advances · doi:10.1126/sciadv.1601027 · Cited by 186 · see citing works
Histologic and physiologic evaluation of electrically stimulated peripheral nerve: Considerations for the selection of parameters
Agnew, W. F., McCreery, D. B., Yuen, T. G. H., & Bullara, L. A. (1989) · Annals of Biomedical Engineering · doi:10.1007/bf02364272 · Cited by 185 · see citing works
Abiotic-biotic characterization of Pt/Ir microelectrode arrays in chronic implants
Prasad, A., Xue, Q.-S., Dieme, R., Sankar, V., Mayrand, R. C., Nishida, T., Streit, W. J., & Sanchez, J. C. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00002 · Cited by 178 · see citing works
Electrical Stimulation Using Kilohertz-Frequency Alternating Current
Ward, A. R. (2008) · Physical Therapy · doi:10.2522/ptj.20080060 · Cited by 169 · see citing works
Using the electrocorticographic speech network to control a brain–computer interface in humans
Leuthardt, E. C., Gaona, C. M., Sharma, M., Szrama, N. P., Roland, J. L., Freudenberg, Z., Solis, J., Breshears, J. D., & Schalk, G. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/036004 · Cited by 165 · see citing works
Towards Large-Scale, Human-Based, Mesoscopic Neurotechnologies
Chang, E. F. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.037 · Cited by 163 · see citing works
Fabrication of implantable microelectrode arrays by laser cutting of silicone rubber and platinum foil
Schüettler, M., Stieß, S., King, B. V., & Suaning, G. J. (2005) · Journal of Neural Engineering · doi:10.1088/1741-2560/2/1/013 · Cited by 163 · see citing works
Microphysiology of Epileptiform Activity in Human Neocortex
Schevon, C. A., Ng, S. K., Cappell, J., Goodman, R. R., McKhann, G. M., Waziri, A. E., Branner, A., Sosunov, A. A., Schroeder, C. E., & Emerson, R. G. (2008) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e31818e8010 · Cited by 162 · see citing works
Optimal spacing of surface electrode arrays for brain–machine interface applications
Slutzky, M. W., Jordan, L. R., Krieg, T. D., Chen, M., Mogul, D. J., & Miller, L. E. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/2/026004 · Cited by 161 · see citing works
Scanning electron microscopy of chronically implanted intracortical microelectrode arrays in non-human primates
Barrese, J. C., Aceros, J., & Donoghue, J. P. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/026003 · Cited by 161 · see citing works
Histological Evaluation of Neural Damage from Electrical Stimulation
Yuen, T. G. H., Agnew, W. F., Bullara, L. A., Jacques, S., & McCreery, D. B. (1981) · Neurosurgery · doi:10.1227/00006123-198109000-00013 · Cited by 160 · see citing works
Quantifying long-term microelectrode array functionality using chronic in vivo impedance testing
Prasad, A., & Sanchez, J. C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026028 · Cited by 157 · see citing works
Model-based analysis of cortical recording with silicon microelectrodes
Moffitt, M. A., & McIntyre, C. C. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.05.018 · Cited by 150 · see citing works
Spatial characterization of interictal high frequency oscillations in epileptic neocortex
Schevon, C. A., Trevelyan, A. J., Schroeder, C. E., Goodman, R. R., McKhann, G. M., & Emerson, R. G. (2009) · Brain · doi:10.1093/brain/awp222 · Cited by 150 · see citing works
Electrophysiological Biomarkers of Epilepsy
Staba, R. J., Stead, M., & Worrell, G. A. (2014) · Neurotherapeutics · doi:10.1007/s13311-014-0259-0 · Cited by 138 · see citing works
Long-term reliability of Al 2 O 3 and Parylene C bilayer encapsulated Utah electrode array based neural interfaces for chronic implantation
Xie, X., Rieth, L., Williams, L., Negi, S., Bhandari, R., Caldwell, R., Sharma, R., Tathireddy, P., & Solzbacher, F. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/2/026016 · Cited by 137 · see citing works
Neuronal loss due to prolonged controlled-current stimulation with chronically implanted microelectrodes in the cat cerebral cortex
McCreery, D. B., Pikov, V., & Troyk, P. R. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/3/036005 · Cited by 137 · see citing works
Evolution of brain-computer interfaces: going beyond classic motor physiology
Leuthardt, E. C., Schalk, G., Roland, J. L., Rouse, A. G., & Moran, D. W. (2009) · Neurosurgical FOCUS · doi:10.3171/2009.4.focus0979 · Cited by 135 · see citing works
Long-Term Measurement of Impedance in Chronically Implanted Depth and Subdural Electrodes During Responsive Neurostimulation in Humans
Sillay, K. A., Rutecki, P. A., Cicora, K., Worrell, G. A., Drazkowski, J. F., Shih, J. J., Sharan, A. D., Morrell, M. J., Williams, J. C., & Wingeier, B. (2013) · Brain stimulation · doi:10.1016/j.brs.2013.02.001 · Cited by 134 · see citing works
Voltage Pulses Change Neural Interface Properties and Improve Unit Recordings With Chronically Implanted Microelectrodes
Otto, K. J., Johnson, M. D., & Kipke, D. R. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.862530 · Cited by 132 · see citing works
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 · see citing works
Theoretical analysis of intracortical microelectrode recordings
Lempka, S. F., Johnson, M. D., Moffitt, M. A., Otto, K. J., Kipke, D. R., & McIntyre, C. C. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/045006 · Cited by 119 · see citing works
Thin films and microelectrode arrays for neuroprosthetics
Ordonez, J., Schuettler, M., Boehler, C., Boretius, T., & Stieglitz, T. (2012) · MRS Bulletin · doi:10.1557/mrs.2012.117 · Cited by 118 · see citing works
Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements
Wang, W., Degenhart, A. D., Collinger, J. L., Vinjamuri, R. K., Sudre, G. P., Adelson, P. D., Holder, D. L., Leuthardt, E. C., Moran, D. W., Boninger, M. L., et al. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333704 · Cited by 118 · see citing works
Lifetime assessment of atomic-layer-deposited Al2O3–Parylene C bilayer coating for neural interfaces using accelerated age testing and electrochemical characterization
Minnikanti, S., Diao, G., Pancrazio, J. J., Xie, X., Rieth, L. W., Solzbacher, F., & Peixoto, N. (2013) · Acta Biomaterialia · doi:10.1016/j.actbio.2013.10.031 · Cited by 107 · see citing works
Simultaneous recording of ECoG and intracortical neuronal activity using a flexible multichannel electrode-mesh in visual cortex
Toda, H., Suzuki, T., Sawahata, H., Majima, K., Kamitani, Y., & Hasegawa, I. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.003 · Cited by 106 · see citing works
First long term in vivo study on subdurally implanted Micro-ECoG electrodes, manufactured with a novel laser technology
Henle, C., Raab, M., Cordeiro, J. G., Doostkam, S., Schulze‐Bonhage, A., Stieglitz, T., & Rickert, J. (2010) · Biomedical Microdevices · doi:10.1007/s10544-010-9471-9 · Cited by 101 · see citing works
Decoding Three-Dimensional Reaching Movements Using Electrocorticographic Signals in Humans
Bundy, D. T., Pahwa, M., Szrama, N., & Leuthardt, E. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/026021 · Cited by 101 · see citing works
Microscale recording from human motor cortex: implications for minimally invasive electrocorticographic brain-computer interfaces
Leuthardt, E. C., Freudenberg, Z., Bundy, D. T., & Roland, J. L. (2009) · Neurosurgical FOCUS · doi:10.3171/2009.4.focus0980 · Cited by 92 · see citing works
Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate
Degenhart, A. D., Eles, J. R., Dum, R. P., Mischel, J., Smalianchuk, I., Endler, B., Ashmore, R. C., Tyler‐Kabara, E. C., Hatsopoulos, N. G., Wang, W., et al. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/4/046019 · Cited by 92 · see citing works
Day–Night Patterns of Epileptiform Activity in 65 Patients With Long-Term Ambulatory Electrocorticography
Anderson, C. T., Tcheng, T. K., Sun, F. T., et al. (2015) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000183 · Cited by 82 · see citing works
Long-Term Bilayer Encapsulation Performance of Atomic Layer Deposited Al$_{\bf 2}$O$_{\bf 3}$ and Parylene C for Biomedical Implantable Devices
Xie, X., Rieth, L. W., Caldwell, R., Diwekar, M., Tathireddy, P., Sharma, R., & Solzbacher, F. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2266542 · Cited by 81 · see citing works
The bionic eye: a review
Ong, J. M., & da Cruz, L. (2011) · Clinical and Experimental Ophthalmology · doi:10.1111/j.1442-9071.2011.02590.x · Cited by 79 · see citing works
Multi-scale analysis of neural activity in humans: Implications for micro-scale electrocorticography
Kellis, S., Sorensen, L. B., Darvas, F., Sayres, C., O’Neill, K., Brown, R. B., House, P. A., Ojemann, J. G., & Greger, B. E. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.06.002 · Cited by 77 · see citing works
Decoding Local Field Potentials for Neural Interfaces
Andrew, J. O., & Hall, T. M. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2612001 · Cited by 77 · see citing works
The effects of chronic intracortical microstimulation on neural tissue and fine motor behavior
Rajan, A. T., Boback, J. L., Dammann, J. F., Tenore, F. V., Wester, B. A., Otto, K. J., Gaunt, R. A., & Bensmaia, S. J. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/6/066018 · Cited by 76 · see citing works
Seven years of recording from monkey cortex with a chronically implanted multiple microelectrode
Krüger, J. (2010) · Frontiers in Neuroengineering · doi:10.3389/fneng.2010.00006 · Cited by 73 · see citing works
An online brain–machine interface using decoding of movement direction from the human electrocorticogram
Milekovic, T., Fischer, J. W., Tobias Pistohl, A., Ruescher, J., Schulze‐Bonhage, A., Aertsen, A., Rickert, J., Tonio Ball, A., & Mehring, C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/046003 · Cited by 72 · see citing works
Long-term evaluation of a liquid crystal polymer (LCP)-based retinal prosthesis
Jeong, J., Bae, S. H., Seo, J.-M., Chung, H., & Kim, S. J. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/025004 · Cited by 70 · see citing works
Continuous decoding of human grasp kinematics using epidural and subdural signals
Flint, R. D., Rosenow, J. M., Tate, M. C., & Slutzky, M. W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/14/1/016005 · Cited by 69 · see citing works
In Vitro Biocompatibility of Various Polymer-Based Microelectrode Arrays for Retinal Prosthesis
Bae, S. H., Che, J., Seo, J.-M., et al. (2012) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.11-9341 · Cited by 68 · see citing works
Areas V1 and V2 show microsaccade‐related 3–4‐Hz covariation in gamma power and frequency
Lowet, E., Roberts, M. J., Bosman, C. A., Fries, P., & Weerd, P. D. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13126 · Cited by 67 · see citing works
Correlations between histology and neuronal activity recorded by microelectrodes implanted chronically in the cerebral cortex
McCreery, D. B., Cogan, S. F., Kane, S. R., & Pikov, V. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/036012 · Cited by 66 · see citing works
Spatial resolution dependence on spectral frequency in human speech cortex electrocorticography
Muller, L., Hamilton, L. S., Edwards, E., Bouchard, K. E., & Chang, E. F. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056013 · Cited by 64 · see citing works
Cortical stimulation mapping using epidurally implanted thin-film microelectrode arrays
Molina-Luna, K., Buitrago, M. M., Hertler, B., Schubring-Giese, M., Haiss, F., Nisch, W., Schulz, J. B., & Luft, A. R. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.10.025 · Cited by 63 · see citing works
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Slutzky, M. W., Jordan, L. R., Lindberg, E. W., Lindsay, K. E., & Miller, L. E. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/036013 · Cited by 59 · see citing works
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Self-citation
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Callier, T., Schluter, E. W., Tabot, G. A., Miller, L. E., Tenore, F. V., & Bensmaı̈a, S. J. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056010 · Cited by 48 · see citing works
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Parker, R., Davis, T. S., House, P. A., Normann, R. A., & Greger, B. E. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53815-4.00010-8 · Cited by 47 · see citing works
Multimodal, longitudinal assessment of intracortical microstimulation
Koivuniemi, A. S., Wilks, S. J., Woolley, A. J., & Otto, K. J. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53815-4.00011-x · Cited by 45 · see citing works
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Rouse, A. G., Williams, J. J., Wheeler, J. J., & Moran, D. W. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056018 · Cited by 40 · see citing works
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Sharma, A., Rieth, L., Tathireddy, P., Harrison, R., Oppermann, H., Klein, M., Töpper, M., Jung, E., Normann, R., Clark, G., et al. (2012) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2011.11.015 · Cited by 35 · see citing works
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Streit, W. J., Xue, Q., Prasad, A., Sankar, V., Knott, E. P., Dyer, A. L., Reynolds, J. R., Nishida, T., Shaw, G. P., & Sanchez, J. C. (2012) · IEEE Pulse · doi:10.1109/mpul.2011.2175632 · Cited by 25 · see citing works
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Hess‐Dunning, A., Dunning, J. L., Tyler, D. J., et al. (2007) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/cne.2007.369604 · Cited by 13 · see citing works
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López, C. M., Welkenhuysen, M., Musa, S., et al. (2012) · doi:10.1109/embc.2012.6346042 · Cited by 13 · see citing works
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Research works printed but not linked: 1

[76]Hemmerich KJ, “ General aging theory and simplified protocol for accelerated aging of medical devices,” MedPlastics Biomater, vol. 4, pp. 16– 24, 1998.

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Authors: Woods, V., Trumpis, M., Bent, B., Palopoli-Trojani, K., Chiang, C.-H., Wang, C., Yu, C., Insanally, M. N., Froemke, R. C., & Viventi, J.
Affiliations: Duke University (US)
New York University (US)
Howard Hughes Medical Institute (US)
Corresponding author: Viventi, Jonathan
ORCID: Woods, Virginia
Trumpis, Michael
Bent, Brinnae
Palopoli-Trojani, Kay
Chiang, Chia-Han
Wang, Charles
Yu, Chunxiu
Insanally, Michele N
Froemke, Robert C
Viventi, Jonathan
Venue: Journal of Neural Engineering
Publisher: IOP Publishing
Published: 2018-10-22
Volume: 15
Issue: 6
Pages: 066024
ISSN: 1741-2552 (ISSN-L)
1741-2560
DOI: 10.1088/1741-2552/aae39d
PMC: PMC6342453
OpenAlex: W2892615159
Cited by: 63
References: 105
Citations by year: 2026: 9 · 2025: 8 · 2024: 7 · 2023: 6 · 2022: 7 · 2021: 9 · 2020: 12 · 2019: 5
FWCI: 2.96
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: publishingsupport.iopscience.iop.org/iop-standard/v1 (vor)
iopscience.iop.org/info/page/text-and-data-mining (tdm)
Locations: Journal of Neural Engineering (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: Steven W Smith Fellowship
Defense Advanced Research Projects Agency (DARPA-BAA-16-09)
Division of Computing and Communication Foundations (CCF1422914)
National Institute of Neurological Disorders and Stroke (U01 NS099697)
Howard Hughes Medical Institute
National Institute on Deafness and Other Communication Disorders (DC015543)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords: polyimide encapsulation, accelerated aging, device lifetime prediction, auditory cortex, signal-to-noise ratio, impedance, neural decoding
MeSH terms: Electrocorticography, Acoustic Stimulation, Algorithms, Animals, Auditory Cortex, Electrodes, Implanted, Epidural Space, Female, Polymers, Reproducibility of Results, Electric Impedance, Rats, Sprague-Dawley, Rats, Signal-To-Noise Ratio, Brain-Computer Interfaces

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Long-term recording reliability of liquid crystal polymer µ ECoG arrays

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