Transient neurovascular interface for minimally invasive neural recording and stimulation
Open accessPublished version of a preprint
Abstract
Abstract Neural interfaces are used to mitigate the burden of traumatic injuries, neurodegenerative diseases, and mental disorders. However, the transient or permanent placement of an interface in close contact with the neural tissue requires invasive surgery, potentially entailing both short‐ and long‐term complications. To tackle this problem, a transient neurovascular interface for neural recording and stimulation is developed. This endovascular array has been fabricated with facile molding techniques using solely polymeric materials. In vitro experiments have shown promising electrochemical performance for both recording and stimulation, together with a lack of cytotoxicity in cultured cells. The device is compatible with standard endovascular catheters and, once deployed, provide good apposition to a cylindrical structure mimicking a blood vessel. The advantage of this device is twofold. On the one hand, the exploitation of the cerebrovascular system as an access route to the neural tissue avoids invasive surgeries. On the other hand, a transient device may reduce the inflammatory reaction and avoid additional surgeries for removal or replacement. This neurovascular interface combines the benefits of both transient bioelectronics and stent technology in a single device to broaden the range of applications of neural interfaces from neurological diseases and mental disorders to bioelectronics medicine.
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
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?
Conductive polymers are considerably softer than metals, flexible and conformable, and have a high charge injection capacity.
“Conductive polymers have been widely used in implantable devices for research as they are considerably softer than metals, flexible and conformable, and have a high charge injection capacity [166][167][168][169][170].”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [168]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The return of a forgotten polymer—Polycaprolactone in the 21st century
Woodruff, M. A., & Hutmacher, D. W. (2010) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2010.04.002 · Cited by 4,033 · see citing works
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243 · 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
The rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884 · see citing works
A Physically Transient Form of Silicon Electronics
Hwang, S.-W., Tao, H., Kim, D.-H., Cheng, H., Song, J.-K., Rill, E., Brenckle, M. A., Panilaitis, B., Won, S. M., Kim, Y.-S., et al. (2012) · Science · doi:10.1126/science.1226325 · Cited by 1,286 · see citing works
Lu, B., Yuk, H., Lin, S., Jian, N., Qu, K., Xu, J., & Zhao, X. (2019) · Nature Communications · doi:10.1038/s41467-019-09003-5 · Cited by 1,055 · see citing works
Bioresorbable silicon electronic sensors for the brain
Kang, S.-K., Murphy, R. K. J., Hwang, S.-W., Lee, S. M., Harburg, D. V., Krueger, N. A., Shin, J., Gamble, P., Cheng, H., Yu, S., et al. (2016) · Nature · doi:10.1038/nature16492 · Cited by 998 · 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
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893 · see citing works
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
Brain 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 · see citing works
Zinc-based biomaterials for regeneration and therapy
Su, Y., Cockerill, I., Wang, Y., Qin, Y.-X., Chang, L., Zheng, Y., & Zhu, D. (2019) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.10.009 · Cited by 417 · see citing works
Highly Conformable Conducting Polymer Electrodes for In Vivo Recordings
Khodagholy, D., Doublet, T., Gurfinkel, M., Quilichini, P., Ismailova, E., Leleux, P., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G. (2011) · Advanced Materials · doi:10.1002/adma.201102378 · Cited by 373 · see citing works
A mathematical model for blood flow in magnetic field
Tzirtzilakis, E. E. (2005) · Physics of Fluids · doi:10.1063/1.1978807 · Cited by 371 · see citing works
Oxley, T. J., Opie, N. L., John, S. E., Rind, G. S., Ronayne, S. M., Wheeler, T. L., Judy, J. W., McDonald, A. J., Dornom, A., Lovell, T. J. H., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3428 · Cited by 346 · see citing works
Biran, R., Martin, D. C., & Tresco, P. A. (2007) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.31138 · Cited by 336 · see citing works
In Vitro and In Vivo Evaluation of PEDOT Microelectrodes for Neural Stimulation and Recording
Venkatraman, S., Hendricks, J., King, Z. A., Sereno, A. J., Richardson-Burns, S., Martin, D., & Carmena, J. M. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2109399 · Cited by 319 · see citing works
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 311 · see citing works
Håkansson, A., Han, S., Wang, S., Lu, J., Braun, S., Fahlman, M., Magnus Berggren, A., Xavier Crispin, A., & Fabiano, S. (2017) · Journal of Polymer Science Part B Polymer Physics · doi:10.1002/polb.24331 · Cited by 295 · see citing works
The impact of chronic blood–brain barrier breach on intracortical electrode function
Saxena, T. K., Karumbaiah, L., Gaupp, E. A., Patkar, R., Patil, K., Betancur, M. I., Stanley, G. B., & Bellamkonda, R. V. (2013) · Biomaterials · doi:10.1016/j.biomaterials.2013.03.007 · Cited by 265 · see citing works
Shin, J., Yan, Y., Bai, W., Xue, Y., Gamble, P., Tian, L., Kandela, I., Haney, C. R., Spees, W., Lee, Y., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0300-4 · Cited by 263 · see citing works
Polymer solar cells based on inkjet-printed PEDOT:PSS layer
Eom, S. H., Senthilarasu, S., Uthirakumar, P., Yoon, S. C., Lim, J., Lee, C., Lim, H. S., Lee, J., & Lee, S. (2009) · Organic Electronics · doi:10.1016/j.orgel.2009.01.015 · Cited by 258 · see citing works
Oxley, T. J., Yoo, P. E., Rind, G. S., Ronayne, S. M., Lee, C. M. S., Bird, C., Hampshire, V., Sharma, R. P., Morokoff, A., Williams, D. L., et al. (2021) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2020-016862 · Cited by 243 · see citing works
The role of blood rheology in sickle cell disease
Connes, P., Alexy, T., Detterich, J. A., Romana, M., Hardy‐Dessources, M., & Ballas, S. K. (2015) · Blood Reviews · doi:10.1016/j.blre.2015.08.005 · Cited by 228 · see citing works
Recent progress on biodegradable materials and transient electronics
Li, R., Wang, L., Kong, D., & Yin, L. (2017) · Bioactive Materials · doi:10.1016/j.bioactmat.2017.12.001 · Cited by 194 · see citing works
Bio-resorbable polymer stents: a review of material progress and prospects
McMahon, S., Bertollo, N., Cearbhaill, E. D. O., Salber, J., Pierucci, L., Duffy, P., Dürig, T., Bi, V., & Wang, W. (2018) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2018.05.002 · Cited by 194 · see citing works
Polymer solar cells based on inkjet-printed PEDOT:PSS layer
이수형, 이연식, 엄승훈, & 박한옥 (2009) · 한국에너지학회 학술발표회 · Cited by 189 · see citing works
Borton, D., Micera, S., Millán, J. D. R., & Courtine, G. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005968 · Cited by 171 · see citing works
The development of bioresorbable composite polymeric implants with high mechanical strength
Sharma, U., Concagh, D., Core, L., Kuang, Y., You, C., Pham, Q. P., Zugates, G., Busold, R., Webber, S., Merlo, J., et al. (2017) · Nature Materials · doi:10.1038/nmat5016 · Cited by 164 · see citing works
Gulino, M., Kim, D., Pané, S., Santos, S. D., & Pêgo, A. P. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00689 · Cited by 159 · see citing works
PEDOT:PSS “Wires” Printed on Textile for Wearable Electronics
Guo, Y., Otley, M. T., Li, M., Zhang, X., Sinha, S., Treich, G. M., & Sotzing, G. A. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b08036 · Cited by 149 · see citing works
Mechanical and Biological Interactions of Implants with the Brain and Their Impact on Implant Design
Prodanov, D., & Delbeke, J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00011 · Cited by 148 · see citing works
Monitoring the Swelling Behavior of PEDOT:PSS Electrodes under High Humidity Conditions
Bießmann, L., Kreuzer, L. P., Widmann, T., et al. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b00446 · Cited by 141 · see citing works
Stability of PEDOT:PSS‐Coated Gold Electrodes in Cell Culture Conditions
Dijk, G., Rutz, A. L., & Malliaras, G. G. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900662 · Cited by 132 · see citing works
Opie, N. L., John, S. E., Rind, G. S., Ronayne, S. M., Wong, Y. T., Gerboni, G., Yoo, P. E., Lovell, T. J. H., Scordas, T. C. M., Wilson, S., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0321-z · Cited by 126 · see citing works
Guidelines to Study and Develop Soft Electrode Systems for Neural Stimulation
Schiavone, G., Kang, X., Fallegger, F., Gandar, J., Courtine, G., & Lacour, S. P. (2020) · Neuron · doi:10.1016/j.neuron.2020.10.010 · Cited by 119 · see citing works
Electrical properties with relaxation through human blood
Abdalla, S., Al-Ameer, S. S., & Al-Magaishi, S. H. (2010) · Biomicrofluidics · doi:10.1063/1.3458908 · Cited by 114 · see citing works
Microscopic Understanding of the Granular Structure and the Swelling of PEDOT:PSS
Modarresi, M., Mehandzhiyski, A. Y., Fahlman, M., Tybrandt, K., & Zozoulenko, I. V. (2020) · Macromolecules · doi:10.1021/acs.macromol.0c00877 · Cited by 108 · see citing works
Bodart, C., Rossetti, N., Hagler, J., Chevreau, P., Chhin, D., Soavi, F., Schougaard, S. B., Amzica, F., & Cicoira, F. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b03088 · Cited by 106 · see citing works
Teo, M. Y., RaviChandran, N., Kim, N., et al. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b12069 · Cited by 100 · see citing works
Stability of poly(3,4‐ethylene dioxythiophene) materials intended for implants
Thaning, E., Asplund, M., Nyberg, T., Inganäs, O., & von Holst, H. (2010) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.31597 · Cited by 92 · see citing works
Conducting polymers for neuronal microelectrode array recording and stimulation
Aqrawe, Z., Montgomery, J. M., Travaš‐Sejdić, J., & Svirskis, D. M. (2017) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2017.11.023 · Cited by 92 · see citing works
Dong, X., Yuan, X., Wang, L., Liu, J., Midgley, A. C., Wang, Z., Wang, K., Liu, J., Zhu, M., & Kong, D. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.07.027 · Cited by 92 · see citing works
Inkjet-printed PEDOT:PSS multi-electrode arrays for low-cost in vitro electrophysiology
Garma, L. D., Ferrari, L. M., Scognamiglio, P., Greco, F., & Santoro, F. (2019) · Lab on a Chip · doi:10.1039/c9lc00636b · Cited by 91 · see citing works
Density Contrast Sedimentation Velocity for the Determination of Protein Partial-Specific Volumes
Brown, P. H., Balbo, A., Zhao, H., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026221 · Cited by 76 · see citing works
Chronic intracortical neural recordings using microelectrode arrays coated with PEDOT–TFB
Charkhkar, H., Knaack, G. L., McHail, D. G., Mandal, H. S., Peixoto, N., Rubinson, J. F., Dumas, T. C., & Pancrazio, J. J. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.12.022 · Cited by 68 · see citing works
Wang, H.-W., Bringans, C., Hickey, A. J., Windsor, J. A., Kilmartin, P. A., & Phillips, A. R. J. (2021) · Signals · doi:10.3390/signals2010012 · Cited by 67 · see citing works
Micropatterning PEDOT:PSS layers
Charlot, B., Sassine, G., Garraud, A., et al. (2012) · Microsystem Technologies · doi:10.1007/s00542-012-1696-5 · Cited by 66 · see citing works
Qiu, T., Jiang, W., Yan, P., et al. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00462 · Cited by 64 · see citing works
Signal quality of simultaneously recorded endovascular, subdural and epidural signals are comparable
John, S. E., Opie, N. L., Wong, Y. T., Rind, G. S., Ronayne, S. M., Gerboni, G., Bauquier, S. H., O'Brien, T. J., May, C. N., Grayden, D. B., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-26457-7 · Cited by 62 · see citing works
Chevion, S., & Chevion, M. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06196.x · Cited by 56 · see citing works
Gong, F., Chen, M., He, J., & Dong, X. (2018) · Progress in Organic Coatings · doi:10.1016/j.porgcoat.2018.04.006 · Cited by 56 · see citing works
In Vitro models for thrombogenicity testing of blood-recirculating medical devices
Sarode, D. N., & Roy, S. (2019) · Expert Review of Medical Devices · doi:10.1080/17434440.2019.1627199 · Cited by 42 · see citing works
Computational modeling of an endovascular approach to deep brain stimulation
Teplitzky, B. A., Connolly, A. T., Bajwa, J. A., & Johnson, M. D. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/2/026011 · Cited by 41 · see citing works
All-polymeric transient neural probe for prolonged in-vivo electrophysiological recordings
Ferlauto, L., Vagni, P., Fanelli, A., Zollinger, E. G., Monsorno, K., Paolicelli, R. C., & Ghezzi, D. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120889 · Cited by 41 · see citing works
Self-citationSchander, A., Stemmann, H., Tolstosheeva, E., Roese, R., Biefeld, V., Kempen, L., Kreiter, A. K., & Lang, W. (2016) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2016.05.034 · Cited by 39 · see citing works
Haemodynamic effects of incomplete stent apposition in curved coronary arteries
Chen, W. X., Poon, E., Thondapu, V., et al. (2017) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2017.09.016 · Cited by 33 · see citing works
Schander, A., Strokov, S., Stemmann, H., Tebmann, T., Kreiter, A. K., & Lang, W. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2880833 · Cited by 32 · see citing works
Gong, H., Xiang, J., Xu, L., Song, X., Dong, Z., Peng, R., & Liu, Z. (2015) · Nanoscale · doi:10.1039/c5nr06081h · Cited by 27 · see citing works
Over the Horizon: The Present and Future of Endovascular Neural Recording and Stimulation
Fan, J., Lopez‐Rivera, V., & Sheth, S. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00432 · Cited by 27 · see citing works
Hydrolysis of doped conducting polymers
Sethumadhavan, V., Zuber, K., Bassell, C., et al. (2020) · Communications Chemistry · doi:10.1038/s42004-020-00404-y · Cited by 26 · see citing works
MR imaging of the yucatan pig head and neck vasculature
Habib, C. A., Utriainen, D. T., Peduzzi-Nelson, J. D., Dawe, E., Mattei, J., Latif, Z., Casey, K., & Haacke, E. M. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24003 · Cited by 20 · see citing works
Vascular Stenosis: An Introduction
Thiriet, M., Delfour, M. C., & Garon, A. (2015) · Springer eBooks · doi:10.1007/978-3-642-37078-6_32 · Cited by 17 · see citing works
Szymonowicz, M. K., Rybak, Z., Witkiewicz, W., et al. (2014) · PubMed · Cited by 10 · see citing works
Can Crosstalk Compromise the Recording of High-Frequency Neural Signals?
Cruz, M. F. P., Vomero, M., Zucchini, E., Delfino, E., Asplund, M., Stieglit, T., & Fadiga, L. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8717009 · Cited by 9 · see citing works
Chen, T., Lin, Y., Bi, X., et al. (2019) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2019.122509 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 64
- J. Z. Fan, V. Lopez-Rivera, S. A. Sheth, Front. Neurosci. 2020, 14, 432.
- T. J. Oxley, N. L. Opie, S. E. John, G. S. Rind, S. M. Ronayne, T. L. Wheeler, J. W. Judy, A. J. McDonald, A. Dornom, T. J. Lovell, C. Steward, D. J. Garrett, B. A. Moffat, E. H. Lui, N. Yassi, B. C. Campbell, Y. T. Wong, K. E. Fox, E. S. Nurse, I. E. Bennett, S. H. Bauquier, K. A. Liyanage, N. R. van der Nagel, P. Perucca, A. Ahnood, K. P. Gill, B. Yan, L. Churilov, C. R. French, P. M. Desmond, M. K. Horne, L. Kiers, S. Prawer, S. M. Davis, A. N. Burkitt, P. J. Mitchell, D. B. Grayden, C. N. May, T. J. O'Brien, Nat. Biotechnol. 2016, 34, 320.
- S. E. John, N. L. Opie, Y. T. Wong, G. S. Rind, S. M. Ronayne, G. Gerboni, S. H. Bauquier, T. J. O'Brien, C. N. May, D. B. Grayden, T. J. Oxley, Sci. Rep. 2018, 8, 8427.
- T. J. Oxley, P. E. Yoo, G. S. Rind, S. M. Ronayne, C. M. S. Lee, C. Bird, V. Hampshire, R. P. Sharma, A. Morokoff, D. L. Williams, C. MacIsaac, M. E. Howard, L. Irving, I. Vrljic, C. Williams, S. E. John, F. Weissenborn, M. Dazenko, A. H. Balabanski, D. Friedenberg, A. N. Burkitt, Y. T. Wong, K. J. Drummond, P. Desmond, D. Weber, T. Denison, L. R. Hochberg, S. Mathers, T. J. O'Brien, C. N. May, J. Mocco, D. B. Grayden, B. C. V. Campbell, P. Mitchell, N. L. Opie, J. Neurointerv. Surg. 2021, 13, 102.
- N. L. Opie, S. E. John, G. S. Rind, S. M. Ronayne, Y. T. Wong, G. Gerboni, P. E. Yoo, T. J. H. Lovell, T. C. M. Scordas, S. L. Wilson, A. Dornom, T. Vale, T. J. O'Brien, D. B. Grayden, C. N. May, T. J. Oxley, Nat. Biomed. Eng. 2018, 2, 907.
- B. A. Teplitzky, A. T. Connolly, J. A. Bajwa, M. D. Johnson, J. Neural Eng. 2014, 11, 026011.
- C. Boehler, S. Carli, L. Fadiga, T. Stieglitz, M. Asplund, Nat. Protoc. 2020, 15, 3557.
- T. D. Y. Kozai, A. S. Jaquins-Gerstl, A. L. Vazquez, A. C. Michael, X. T. Cui, ACS Chem. Neurosci. 2015, 6, 48.
- V. S. Polikov, P. A. Tresco, W. M. Reichert, J. Neurosci. Methods 2005, 148, 1.
- D. Prodanov, J. Delbeke, Front. Neurosci. 2016, 10, 11.
- S. McMahon, N. Bertollo, E. D. O. Cearbhaill, J. Salber, L. Pierucci, P. Duffy, T. Dürig, V. Bi, W. Wang, Prog. Polym. Sci. 2018, 83, 79.
- M. Gulino, D. Kim, S. Pané, S. D. Santos, A. P. Pêgo, Front. Neurosci. 2019, 13, 689.
- R. Biran, D. C. Martin, P. A. Tresco, Exp. Neurol. 2005, 195, 115.
- T. Saxena, L. Karumbaiah, E. A. Gaupp, R. Patkar, K. Patil, M. Betancur, G. B. Stanley, R. V. Bellamkonda, Biomaterials 2013, 34, 4703.
- R. Biran, D. C. Martin, P. A. Tresco, J. Biomed. Mater. Res., Part A 2007, 82, 169.
- S.-W. W. Hwang, H. Tao, D.-H. H. Kim, H. Cheng, J.-K. K. Song, E. Rill, M. A. Brenckle, B. Panilaitis, S. M. Won, Y.-S. S. Kim, Y. M. Song, K. J. Yu, A. Ameen, R. Li, Y. Su, M. Yang, D. L. Kaplan, M. R. Zakin, M. J. Slepian, Y. Huang, F. G. Omenetto, J. A. Rogers, Science 2012, 337, 1640.
- S.-K. Kang, R. K. Murphy, S.-W. Hwang, S. Lee, D. V. Harburg, N. A. Krueger, J. Shin, P. Gamble, H. Cheng, S. Yu, Z. Liu, J. G. McCall, M. Stephen, H. Ying, J. Kim, G. Park, C. R. Webb, C. Lee, S. Chung, D. Wie, A. D. Gujar, B. Vemulapalli, A. H. Kim, K.-M. Lee, J. Cheng, Y. Huang, S. Lee, P. V. Braun, W. Z. Ray, J. A. Rogers, Nature 2016, 530, 71.
- R. Li, L. Wang, D. Kong, L. Yin, Bioact. Mater. 2018, 3, 322.
- M. A. Woodruff, D. W. Hutmacher, Prog. Polym. Sci. 2010, 35, 1217.
- C. Bodart, N. Rossetti, J. Hagler, P. Chevreau, D. Chhin, F. Soavi, S. B. Schougaard, F. Amzica, F. Cicoira, ACS Appl. Mater. Interfaces 2019, 11, 17226.
- A. Schander, T. Tesmann, S. Strokov, H. Stemmann, A. K. Kreiter, W. Lang, Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2016, 2016, 6174.
- D. Khodagholy, T. Doublet, M. Gurfinkel, P. Quilichini, E. Ismailova, P. Leleux, T. Herve, S. Sanaur, C. Bernard, G. G. Malliaras, Adv. Mater. 2011, 23, H268.
- A. Håkansson, S. Han, S. Wang, J. Lu, S. Braun, M. Fahlman, M. Berggren, X. Crispin, S. Fabiano, J. Polym. Sci., Part B: Polym. Phys. 2017, 55, 814.
- D. N. Sarode, S. Roy, Expert Rev. Med. Devices 2019, 16, 603.
- X. Dong, X. Yuan, L. Wang, J. Liu, A. C. Midgley, Z. Wang, K. Wang, J. Liu, M. Zhu, D. Kong, Biomaterials 2018, 181, 1.
- T. Qiu, W. Jiang, P. Yan, L. Jiao, X. Wang, Front. Bioeng. Biotechnol. 2020, 8, 462.
- M. Szymonowicz, Z. Rybak, W. Witkiewicz, C. Pezowicz, J. Filipiak, Acta Bioeng. Biomech. 2014, 16, 131.
- S. F. Cogan, Annu. Rev. Biomed. Eng. 2008, 10, 275.
- Z. Aqrawe, J. Montgomery, J. Travas-Sejdic, D. Svirskis, Sens. Actuators, B 2018, 257, 753.
- E. E. Tzirtzilakis, Phys. Fluids 2005, 17, 077103.
- P. H. Brown, A. Balbo, H. Zhao, C. Ebel, P. Schuck, PLoS One 2011, 6, e26221.
- S. Abdalla, S. S. Al-ameer, S. H. Al-Magaishi, Biomicrofluidics 2010, 4, 034101.
- P. Connes, T. Alexy, J. Detterich, M. Romana, M.-D. Hardy-Dessources, S. K. Ballas, Blood Rev. 2016, 30, 111.
- S. Chevion, M. Chevion, Ann. N. Y. Acad. Sci. 2006, 899, 308.
- H.-W. Wang, C. Bringans, A. J. R. Hickey, J. A. Windsor, P. A. Kilmartin, A. R. J. Phillips, Signals 2021, 2, 138.
- G. Schiavone, X. Kang, F. Fallegger, J. Gandar, G. Courtine, S. P. Lacour, Neuron 2020, 108, 238.
- S. Venkatraman, J. Hendricks, Z. A. King, A. J. Sereno, S. Richardson-Burns, D. Martin, J. M. Carmena, IEEE Trans. Neural Syst. Rehabil. Eng. 2011, 19, 307.
- M. F. Porto Cruz, M. Vomero, E. Zucchini, E. Delfino, M. Asplund, T. Stieglit, L. Fadiga, in 2019 9th Int. IEEE/EMBS Conf. on Neural Engineering (NER), IEEE, San Francisco, CA, USA, 2019, pp. 924-927.
- C. A. Habib, D. Utriainen, J. Peduzzi-Nelson, E. Dawe, J. Mattei, Z. Latif, K. Casey, E. M. Haacke, J. Magn. Reson. Imaging 2013, 38, 641.
- B. Lu, H. Yuk, S. Lin, N. Jian, K. Qu, J. Xu, X. Zhao, Nat. Commun. 2019, 10, 1043.
- L. Bießmann, L. P. Kreuzer, T. Widmann, N. Hohn, J.-F. Moulin, P. Müller-Buschbaum, ACS Appl. Mater. Interfaces 2018, 10, 9865.
- M. Modarresi, A. Mehandzhiyski, M. Fahlman, K. Tybrandt, I. Zozoulenko, Macromolecules 2020, 53, 6267.
- W. X. Chen, E. K. W. Poon, V. Thondapu, N. Hutchins, P. Barlis, A. Ooi, J. Biomech. 2017, 63, 164.
- M. Thiriet, M. Delfour, A. Garon, in PanVascular Medicine (Ed: P. Lanzer), Springer, Berlin, 2015, pp. 781-868.
- L. Ferlauto, P. Vagni, A. Fanelli, E. G. Zollinger, K. Monsorno, R. C. Paolicelli, D. Ghezzi, Biomaterials 2021, 274, 120889.
- U. Sharma, D. Concagh, L. Core, Y. Kuang, C. You, Q. Pham, G. Zugates, R. Busold, S. Webber, J. Merlo, R. Langer, G. M. Whitesides, M. Palasis, Nat. Mater. 2017, 17, 96.
- J. Shin, Y. Yan, W. Bai, Y. Xue, P. Gamble, L. Tian, I. Kandela, C. R. Haney, W. Spees, Y. Lee, M. Choi, J. Ko, H. Ryu, J.-K. Chang, M. Pezhouh, S.-K. Kang, S. M. Won, K. J. Yu, J. Zhao, Y. K. Lee, M. R. MacEwan, S.-K. Song, Y. Huang, W. Z. Ray, J. A. Rogers, Nat. Biomed. Eng. 2019, 3, 37.
- Y. Su, I. Cockerill, Y. Wang, Y.-X. Qin, L. Chang, Y. Zheng, D. Zhu, Trends Biotechnol. 2019, 37, 428.
- M. Y. Teo, N. RaviChandran, N. Kim, S. Kee, L. Stuart, K. C. Aw, J. Stringer, ACS Appl. Mater. Interfaces 2019, 11, 37069.
- B. Charlot, G. Sassine, A. Garraud, B. Sorli, A. Giani, P. Combette, Microsyst. Technol. 2013, 19, 895.
- S. H. Eom, S. Senthilarasu, P. Uthirakumar, S. C. Yoon, J. Lim, C. Lee, H. S. Lim, J. Lee, S.-H. Lee, Org. Electron. 2009, 10, 536.
- L. D. Garma, L. M. Ferrari, P. Scognamiglio, F. Greco, F. Santoro, Lab Chip 2019, 19, 3776.
- Y. Guo, M. T. Otley, M. Li, X. Zhang, S. K. Sinha, G. M. Treich, G. A. Sotzing, ACS Appl. Mater. Interfaces 2016, 8, 26998.
- T. Someya, Z. Bao, G. G. Malliaras, Nature 2016, 540, 379.
- D. Khodagholy, J. N. Gelinas, T. Thesen, W. Doyle, O. Devinsky, G. G. Malliaras, G. Buzsáki, Nat. Neurosci. 2015, 18, 310.
- A. Schander, H. Stemmann, E. Tolstosheeva, R. Roese, V. Biefeld, L. Kempen, A. K. Kreiter, W. Lang, Sens. Actuators, A 2016, 247, 125.
- H. Charkhkar, G. L. Knaack, D. G. McHail, H. S. Mandal, N. Peixoto, J. F. Rubinson, T. C. Dumas, J. J. Pancrazio, Acta Biomater. 2016, 32, 57.
- K. A. Ludwig, J. D. Uram, J. Yang, D. C. Martin, D. R. Kipke, J. Neural Eng. 2006, 3, 59.
- A. Schander, S. Strokov, H. Stemmann, T. Tebmann, A. K. Kreiter, W. Lang, IEEE Sens. J. 2019, 19, 820.
- G. Dijk, A. L. Rutz, G. G. Malliaras, Adv. Mater. Technol. 2020, 5, 1900662.
- F. Gong, C. Meng, J. He, X. Dong, Prog. Org. Coat. 2018, 121, 89.
- V. Sethumadhavan, K. Zuber, C. Bassell, P. R. Teasdale, D. Evans, Commun. Chem. 2020, 3, 153.
- T. Chen, Y. Lin, X. Bi, Y. Gu, Mater. Chem. Phys. 2020, 242, 122509.
- H. Gong, J. Xiang, L. Xu, X. Song, Z. Dong, R. Peng, Z. Liu, Nanoscale 2015, 7, 19282.
Cited by
Sorted by citations
Advances in visual prostheses: engineering and biological challenges
Borda, E., & Ghezzi, D. (2022) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ac812c · Cited by 44 · see citing works
Self-citationRecent advances in recording and modulation technologies for next-generation neural interfaces.
Hong, J.-W., Yoon, C., Jo, K., Won, J. H., & Park, S. (2021) · iScience · doi:10.1016/j.isci.2021.103550 · Cited by 25 · see citing works
- Authors
- Fanelli, A., Ferlauto, L., Zollinger, E. G., Brina, O., Reymond, P., Machi, P., & Ghezzi, D.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- University Hospital of Geneva (CH)
- Corresponding author
- Ghezzi, Diego
- Venue
- Advanced Materials Technologies
- Publisher
- Wiley
- Published
- 2021-06-13
- Volume
- 7
- Issue
- 2
- ISSN
- 2365-709X (ISSN-L)
- OpenAlex
- W3170192595
- Cited by
- 22
- References
- 66
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 2 · 2023: 1 · 2022: 5 · 2021: 4
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-05-11)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Advanced Materials Technologies (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- École Polytechnique Fédérale de Lausanne
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- neurovascular interface, neural recording, neurostimulation, stent technology, electrochemical performance, cytotoxicity
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
