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Glial responses to implanted electrodes in the brain
Open accessAbstract
The use of implants that can electrically stimulate or record electrophysiological or neurochemical activity in nervous tissue is rapidly expanding. Despite remarkable results in clinical studies and increasing market approvals, the mechanisms underlying the therapeutic effects of neuroprosthetic and neuromodulation devices, as well as their side effects and reasons for their failure, remain poorly understood. A major assumption has been that the signal-generating neurons are the only important target cells of neural-interface technologies. However, recent evidence indicates that the supporting glial cells remodel the structure and function of neuronal networks and are an effector of stimulation-based therapy. Here, we reframe the traditional view of glia as a passive barrier, and discuss their role as an active determinant of the outcomes of device implantation. We also discuss the implications that this has on the development of bioelectronic medical devices.
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“The fibrotic capsule forming around the implant not only damages and displaces the target neuronal tissue, but also forms a high-impedance layer that dampens the weak electrical signals produced by neurons and dissipates stimulating electrode currents.”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Despite these differences, the general principles underlying FBR and the consequences (formation of a fibrotic capsule, inflammatory damage to the surrounding tissue) still apply (Polikov et al., 2005; Salatino et al., 2017).”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The fibrotic capsule forming around the implant not only damages and displaces the target neuronal tissue, but also forms a high-impedance layer that dampens the weak electrical signals produced by neurons and dissipates stimulating electrode currents.”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“FBR is currently the key culprit behind chronically-implanted neuroprosthetic implant failure (Polikov et al., 2005; Salatino et al., 2017), and poses a major hurdle to the clinical translation of new neuroprosthetic technologies.”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Flexible implants in general show improved tissue compatibility compared to stiffer equivalents, minimizing trauma and FBR arising from shear damage (Lacour et al., 2016; Salatino et al., 2017).”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
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“FBR occurs in response to any material that is implanted into the body (Anderson et al., 2008; Salatino et al., 2017).”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
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“Material stiffness also greatly contributes to FBR, with softer materials (closer in stiffness to that of biological tissues) generating less mechanical trauma and therefore less FBR (Lacour et al., 2016; Salatino et al., 2017).”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Salatino et al., 2017
In the citing paper
“It has been shown that all biocompatible materials used so far provoke an inflammatory response and some degree of foreign body reaction [174,175].”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [175]
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Citations
Cites
Strogatz, S. H. (2001) · Nature · doi:10.1038/35065725 · Cited by 8,236
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · cited 1×
“The diversity of their roles is reflected in the recent identification of distinct subclasses of astrocytes that are characterized by differences in gene expression, function and reactive states during CNS injury 4,22–24 .”
Ionic channels of excitable membranes
(1985) · General Pharmacology The Vascular System · doi:10.1016/0306-3623(85)90172-7 · Cited by 7,134
Geometric Control of Cell Life and Death
Chen, C. S., Mrksich, M., Huang, S., Whitesides, G. M., & Ingber, D. E. (1997) · Science · doi:10.1126/science.276.5317.1425 · Cited by 4,710
A perivascular origin for mesenchymal stem cells in multiple human organs
Crisan, M., Yap, S., Casteilla, L., Chen, C.-W., Corselli, M., Park, T. S., Andriolo, G., Sun, B., Zheng, B., Zhang, L., et al. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.07.003 · Cited by 3,991 · cited 1×
“It has been proposed that these cells have reparative potential through association with neurogenic niches 225,226 .”
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Leski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H., & Einevoll, G. T. (2013) · PubMed · doi:10.18154/rwth-conv-084442 · Cited by 3,667
Mechanisms underlying inflammation in neurodegeneration
Glass, C. K., Saijo, K., Winner, B., Marchetto, M. C., & Gage, F. H. (2010) · Cell · doi:10.1016/j.cell.2010.02.016 · Cited by 3,580
Cahoy, J. D., Emery, B., Kaushal, A., Foo, L. C., Zamanian, J. L., Christopherson, K. S., Xing, Y., Lubischer, J. L., Krieg, P. A., Krupenko, S. A., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4178-07.2008 · Cited by 3,129
Neurodegenerative Disorders: Parkinson's Disease and Huntington's Disease
Hague, S., Klaffke, S., & Bandmann, O. (2006) · IMPERIAL COLLEGE PRESS eBooks · doi:10.1142/9781860948961_0007 · Cited by 2,767
Molecular dissection of reactive astrogliosis and glial scar formation
Sofroniew, M. V. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.08.002 · Cited by 2,594
Research works printed but not linked: 1
- Humphrey, D. R. & Schmidt, E. M. in Neurophysiological Techniques Vol. II (eds Boulton, A. A., Baker, G. B. & Vanderwolf, C. H.) 1–64 (Humana Press, New York, 1990).
Cited by
Sorted by citations
Yuk, H., Lu, B., & Zhao, X. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00595h · Cited by 2,148
Soft and elastic hydrogel-based microelectronics for localized low-voltage neuromodulation
Liu, Y., Liu, J., Chen, S., Lei, T., Kim, Y., Niu, S., Wang, H., Wang, X., Foudeh, A. M., Tok, J. B.-H., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0335-6 · Cited by 811
Nam, S., & Mooney, D. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00798 · Cited by 764
Novel electrode technologies for neural recordings
Hong, G., & Lieber, C. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0140-6 · Cited by 695
Hydrogel interfaces for merging humans and machines
Yuk, H., Wu, J., & Zhao, X. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00483-4 · Cited by 720
Topological supramolecular network enabled high-conductivity, stretchable organic bioelectronics
Jiang, Y., Zhang, Z., Wang, Y.-X., Li, D., Coen, C., Hwaun, E., Chen, G., Wu, H., Zhong, D., Niu, S., et al. (2022) · Science · doi:10.1126/science.abj7564 · Cited by 639
Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics
Carnicer-Lombarte, A., Chen, S.-T., Malliaras, G. G., & Barone, D. G. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.622524 · Cited by 454
“As implantable technologies continue to progress toward more refined devices capable of interacting with ever smaller subsets of tissue, the disruption of the tissue-implant interface by FBR becomes a leading cause of failure (Salatino et al., 2017; Spearman et al., 2018).”
BackgroundInfluentialFlexible brain–computer interfaces
Tang, X., Shen, H., Zhao, S., Li, N., & Jia Liu, B. (2023) · Nature Electronics · doi:10.1038/s41928-022-00913-9 · Cited by 389
Bioinspired neuron-like electronics
Yang, X., Zhou, T., Zwang, T. J., Hong, G., Zhao, Y., Viveros, R. D., Fu, T.-M., Gao, T., & Lieber, C. M. (2019) · Nature Materials · doi:10.1038/s41563-019-0292-9 · Cited by 384
Functional Conductive Hydrogels for Bioelectronics
Fu, F., Wang, J., Zeng, H., & Yu, J. (2020) · ACS Materials Letters · doi:10.1021/acsmaterialslett.0c00309 · Cited by 366
Wireless and battery-free technologies for neuroengineering
Won, S. M., Cai, L., Gutruf, P., & Rogers, J. A. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00683-3 · Cited by 360
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 324
Zhang, D., Chen, Q., Shi, C., Chen, M., Ma, K., Wan, J., & Liu, R. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202007226 · Cited by 306
Ultrathin Hydrogel Films toward Breathable Skin‐Integrated Electronics
Cheng, S., Lou, Z., Zhang, L. H., Guo, H., Wang, Z., Guo, C. F., Fukuda, K., Ma, S., Wang, G., Someya, T., et al. (2022) · Advanced Materials · doi:10.1002/adma.202206793 · Cited by 299
Wang, S., Nie, Y., Zhu, H., Xu, Y., Cao, S., Zhang, J., Li, Y., Wang, J., Ning, X., & Kong, D. (2022) · Science Advances · doi:10.1126/sciadv.abl5511 · Cited by 249
Goshi, N., Morgan, R. K., Lein, P. J., & Şeker, E. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01819-z · Cited by 248
Inorganic semiconductor biointerfaces
Jiang, Y., & Tian, B. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0062-3 · Cited by 244
Li, Q., Nan, K., Le Floch, P., Lin, Z., Sheng, H., Blum, T. S., & Liu, J. (2019) · Nano Letters · doi:10.1021/acs.nanolett.9b02512 · Cited by 224
Wu, X., Zhu, X., Chong, P., Liu, J., Andre, L. N., Ong, K. S., Brinson, K., Mahdi, A. I., Li, J., Fenno, L. E., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914387116 · Cited by 227
Wu, X., Jiang, Y., Rommelfanger, N. J., Yang, F., Zhou, Q., Yin, R., Liu, J., Cai, S., Ren, W., Shin, A., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00862-w · Cited by 222
Wearable Bioelectronics for Chronic Wound Management
Wang, C., Sani, E. S., & Gao, W. F. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202111022 · Cited by 214
Recent advances in neurotechnologies with broad potential for neuroscience research
Vázquez-Guardado, A., Yang, Y., Bandodkar, A. J., & Rogers, J. A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00739-8 · Cited by 202
Liu, G., Lv, Z., Batool, S. A., Li, M.-Z., Zhao, P., Guo, L., Wang, Y., Zhou, Y., & Han, S. (2023) · Small · doi:10.1002/smll.202207879 · Cited by 196
A Tissue‐Like Soft All‐Hydrogel Battery
Ye, T., Wang, J., Jiao, Y., Li, L., He, E., Wang, L., Li, Y., Yun, Y., Li, D., Jiang, L., et al. (2021) · Advanced Materials · doi:10.1002/adma.202105120 · Cited by 184
An atlas of nano-enabled neural interfaces
Ledesma, H. A., Li, X., Carvalho-de-Souza, J. L., Wei, W., Bezanilla, F., & Tian, B. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0487-x · Cited by 188
Zhuang, Q., Yao, K., Wu, M., Lei, Z., Chen, F., Li, J., Mei, Q., Zhou, Y., Huang, Q., Zhao, X., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg8602 · Cited by 178
Metabolite-induced in vivo fabrication of substrate-free organic bioelectronics
Strakosas, X., Biesmans, H., Abrahamsson, T., Hellman, K., Ejneby, M. S., Donahue, M. J., Ekström, P., Ek, F., Savvakis, M., Hjort, M., et al. (2023) · Science · doi:10.1126/science.adc9998 · Cited by 172
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
Bio-inspired electronics: Soft, biohybrid, and “living” neural interfaces
Boufidis, D., Garg, R., Angelopoulos, E., Cullen, D. K., & Vitale, F. (2025) · Nature Communications · doi:10.1038/s41467-025-57016-0 · Cited by 183
Functional Tough Hydrogels: Design, Processing, and Biomedical Applications
Kuang, X., Arıcan, M. O., Zhou, T., Zhao, X., & Zhang, Y. S. (2022) · Accounts of Materials Research · doi:10.1021/accountsmr.2c00026 · Cited by 152
Xue, Y., Chen, X., Wang, F., Lin, J., & Liu, J. (2023) · Advanced Materials · doi:10.1002/adma.202304095 · Cited by 151
In Vivo Electrochemical Sensors for Neurochemicals: Recent Update
Xu, C., Wu, F., Yu, P., & Mao, L. (2019) · ACS Sensors · doi:10.1021/acssensors.9b01713 · Cited by 149
Translational opportunities and challenges of invasive electrodes for neural interfaces
Shen, K., Chen, O., Edmunds, J. L., Piech, D. K., & Maharbiz, M. M. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01021-5 · Cited by 143
Cho, Y., Park, S., Lee, J., & Yu, K. J. (2021) · Advanced Materials · doi:10.1002/adma.202005786 · Cited by 142
Recent Progress in Materials Chemistry to Advance Flexible Bioelectronics in Medicine
Balakrishnan, G., Song, J., Mou, C., & Bettinger, C. J. (2021) · Advanced Materials · doi:10.1002/adma.202106787 · Cited by 135
Tracking neural activity from the same cells during the entire adult life of mice
Zhao, S., Tang, X., Tian, W., Partarrieu, S., Liu, R., Shen, H., Lee, J. Y., Guo, S., Lin, Z., & Jia Liu, B. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01267-x · Cited by 134
Michelson, N. J., Vazquez, A. L., Eles, J. R., Salatino, J. W., Purcell, E. K., Williams, J. J., Cui, X. T., & Kozai, T. D. Y. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9dae · Cited by 126
Self-citationMohan, U. R., Watrous, A. J., Miller, J. F., Lega, B. C., Sperling, M. R., Worrell, G. A., Gross, R. E., Zaghloul, K. A., Jobst, B. C., Davis, K. A., et al. (2020) · Brain Stimulation · doi:10.1016/j.brs.2020.05.009 · Cited by 120
Implantable brain machine interfaces: first-in-human studies, technology challenges and trends
Rapeaux, A. B., & Constandinou, T. G. (2021) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2021.10.001 · Cited by 119
Recent advances in bioelectronics chemistry
Fang, Y., Meng, L., Promiński, A., Schaumann, E. N., Seebald, M., & Tian, B. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00333f · Cited by 121
3D spatiotemporally scalable in vivo neural probes based on fluorinated elastomers
Floch, P. L., Zhao, S., Liu, R., Molinari, N., Medina, E., Shen, H., Wang, Z., Kim, J., Sheng, H., Partarrieu, S., et al. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01545-6 · Cited by 115
Chen, H., Wang, L., Liu, S., Sheng, X., & Yin, L. (2024) · ACS Nano · doi:10.1021/acsnano.3c11832 · Cited by 112
Dissecting Biological and Synthetic Soft–Hard Interfaces for Tissue-Like Systems
Fang, Y., Yang, X., Lin, Y., Shi, J., Promiński, A., Clayton, C., Ostroff, E., & Tian, B. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00365 · Cited by 109
Yang, M., Chen, P., Qu, X., Zhang, F., Ning, S., Ma, L., YANG, K. Y., Su, Y., Zang, J., Jiang, W., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c04606 · Cited by 104
Revolutionizing medical implant fabrication: advances in additive manufacturing of biomedical metals
Li, Y., Jiang, D., Zhu, R., Yang, C., Wang, L., & Zhang, L. (2024) · International Journal of Extreme Manufacturing · doi:10.1088/2631-7990/ad92cc · Cited by 105
When Bio Meets Technology: Biohybrid Neural Interfaces
Rochford, A. E., Carnicer‐Lombarte, A., Curto, V. F., Malliaras, G. G., & Barone, D. G. (2019) · Advanced Materials · doi:10.1002/adma.201903182 · Cited by 107
Huang, Y., Cui, Y., Deng, H., Wang, J., Hong, R., Hu, S., Hou, H., Dong, Y., Wang, H., Chen, J., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00931-0 · Cited by 105
Zeng, Q., & Huang, Z. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202301223 · Cited by 104
Li, X., Klausen, L. H., Zhang, W., Jahed, Z., Tsai, C., Li, T. L., & Cui, B. (2021) · Nano Letters · doi:10.1021/acs.nanolett.1c01934 · Cited by 103
Ultraflexible Neural Electrodes for Long-Lasting Intracortical Recording
He, F., Lycke, R., Ganji, M., Xie, C., & Luan, L. (2020) · iScience · doi:10.1016/j.isci.2020.101387 · Cited by 100
Gao, X., Wei, H., Ma, W., Wu, W., Ji, W., Mao, J., Yu, P., & Mao, L. (2024) · Nature Communications · doi:10.1038/s41467-024-52279-5 · Cited by 96
Garcia‐Cortadella, R., Schwesig, G., Jeschke, C., Illa, X., Gray, A. L., Savage, S., Stamatidou, E., Schießl, I., Masvidal‐Codina, E., Kostarelos, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20546-w · Cited by 95
Neural modulation with photothermally active nanomaterials
Wang, Y., Garg, R., Cohen-Karni, D., & Cohen‐Karni, T. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00022-y · Cited by 102
Conductive hydrogels for bioenergy harvesting and self-powered application
Zhang, C., Nayeem, M. O. G., Wang, Z., Pu, X., Dağdeviren, C., Wang, Z. L., Zhang, X., & Liu, R. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101156 · Cited by 92
Yuwen, T., Shu, D., Zou, H., Yang, X., Wang, S., Zhang, S., Liu, Q., Wang, X., Wang, G., Zhang, Y., et al. (2023) · Journal of Nanobiotechnology · doi:10.1186/s12951-023-02088-7 · Cited by 92
Multifunctional Conductive Hydrogel Interface for Bioelectronic Recording and Stimulation
Tang, H., Li, Y., Liao, S., Liu, H., Qiao, Y., & Zhou, J. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202400562 · Cited by 91
Electroconductive hydrogels for bioelectronics: Challenges and opportunities
Liu, N., Ma, H., Li, M., Qin, R., & Li, P. (2024) · FlexMat. · doi:10.1002/flm2.31 · Cited by 92
Explant Analysis of Utah Electrode Arrays Implanted in Human Cortex for Brain-Computer-Interfaces
Woeppel, K., Hughes, C., Herrera, A. J., Eles, J. R., Tyler-Kabara, E. C., Gaunt, R. A., Collinger, J. L., & Cui, X. T. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.759711 · Cited by 90
Brain–Computer Interfaces in Neurorecovery and Neurorehabilitation
Young, M. J., Lin, D. J., & Hochberg, L. R. (2021) · Seminars in Neurology · doi:10.1055/s-0041-1725137 · Cited by 93
Bianchi, M., Salvo, A. D., Asplund, M., Carli, S., Lauro, M. D., Schulze‐Bonhage, A., Stieglitz, T., Fadiga, L., & Biscarini, F. (2022) · Advanced Science · doi:10.1002/advs.202104701 · Cited by 93
Injectable Biomedical Devices for Sensing and Stimulating Internal Body Organs
Jung, Y. H., Kim, J. U., Lee, J. S., Shin, J. H., Jung, W., Ok, J., & Kim, T. (2020) · Advanced Materials · doi:10.1002/adma.201907478 · Cited by 88
Bioinspired Materials for In Vivo Bioelectronic Neural Interfaces
Woods, G. A., Rommelfanger, N. J., & Hong, G. (2020) · Matter · doi:10.1016/j.matt.2020.08.002 · Cited by 89
Conjugated Polymer for Implantable Electronics toward Clinical Application
Liu, Y., Feig, V. R., & Bao, Z. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202001916 · Cited by 88
Nongenetic optical neuromodulation with silicon-based materials
Jiang, Y., Parameswaran, R., Li, X., Carvalho-de-Souza, J. L., Gao, X., Meng, L., Bezanilla, F., Shepherd, G. M., & Tian, B. (2019) · Nature Protocols · doi:10.1038/s41596-019-0135-9 · Cited by 87
Electrode Materials for Chronic Electrical Microstimulation
Zheng, X. S., Tan, C., Castagnola, E., & Cui, X. T. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202100119 · Cited by 90
Ultrasound-Triggered In Situ Photon Emission for Noninvasive Optogenetics
Wang, W., Wu, X., Tang, K. W. K., Pyatnitskiy, I., Taniguchi, R., Lin, P., Zhou, R., Capocyan, S. L. C., Hong, G., & Wang, H. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.2c10666 · Cited by 88
Bennett, C., Mohammed, F. S., Álvarez-Ciara, A., Nguyen, M. A., Dietrich, W. D., Rajguru, S. M., Streit, W. J., & Prasad, A. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.09.040 · Cited by 87
Sung, C., Jeon, W., Nam, K. S., Kim, Y., Butt, H., & Park, S. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00872a · Cited by 87
Sharafkhani, N., Kouzani, A. Z., Adams, S. D., Long, J. M., Lissorgues, G., Rousseau, L., & Orwa, J. O. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109388 · Cited by 86
Eles, J. R., Vazquez, A. L., Kozai, T. D. Y., & Cui, X. T. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.04.043 · Cited by 86
Self-citationAn implantable piezoelectric ultrasound stimulator (ImPULS) for deep brain activation
Hou, J. F., Nayeem, M. O. G., Caplan, K. A., Ruesch, E. A., Caban, A. J., Criado-Hidalgo, E., Ornellas, S. B., Williams, B., Pearce, A. A., Dağdeviren, H. E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48748-6 · Cited by 84
Michelson, N. J., Eles, J. R., Vazquez, A. L., Ludwig, K. A., & Kozai, T. D. Y. (2018) · Journal of Neuroscience Research · doi:10.1002/jnr.24370 · Cited by 85
Self-citationYang, F., Wu, X., Cui, H., Jiang, S., Ou, Z., Cai, S., & Hong, G. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c06724 · Cited by 83
Implantable Fiber Biosensors Based on Carbon Nanotubes
Feng, J., Chen, C., Sun, X., & Peng, H. (2021) · Accounts of Materials Research · doi:10.1021/accountsmr.0c00109 · Cited by 83
The development of neural stimulators: a review of preclinical safety and efficacy studies
Shepherd, R. K., Villalobos, J., Burns, O., & Nayagam, D. A. X. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac43c · Cited by 83
Micro- and nanotechnology for neural electrode-tissue interfaces
Liu, S., Zhao, Y., Hao, W., Zhang, X., & Ming, D. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112645 · Cited by 80
Roh, H., Yoon, Y. J., Park, J. S., Kang, D.-H., Kwak, S. M., Lee, B. C., & Im, M. (2021) · Nano-Micro Letters · doi:10.1007/s40820-021-00778-1 · Cited by 79
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Lycke, R., Kim, R., Zolotavin, P., Montes, J., Sun, Y., Kőszeghy, Á., Altun, E., Noble, B., Yin, R., He, F., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112554 · Cited by 79
Wellman, S. M., Li, L., Yaxiaer, Y., McNamara, I., & Kozai, T. D. Y. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00493 · Cited by 79
Self-citationBioinspired Prosthetic Interfaces
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Ferlauto, L., D’Angelo, A. N., Vagni, P., Airaghi Leccardi, M. J. I., Mor, F. M., Cuttaz, E. A., Heuschkel, M. O., Stoppini, L., & Ghezzi, D. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00648 · Cited by 74
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Hong, G. (2020) · Science · doi:10.1126/science.abd3636 · Cited by 70
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OʼShea, T. M., Wollenberg, A. L., Kim, J. H., Ao, Y., Deming, T. J., & Sofroniew, M. V. (2020) · Nature Communications · doi:10.1038/s41467-020-19906-3 · Cited by 70
Park, Y., Kwon, Y. W., Koh, C. S., Kim, E., Lee, D. H., Kim, S., Mun, J., Hong, Y., Lee, S., Kim, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45768-0 · Cited by 70
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Barone, D. G., Carnicer-Lombarte, A., Tourlomousis, P., Hamilton, R. S., Prater, M., Rutz, A. L., Dimov, I. B., Malliaras, G. G., Lacour, S. P., Robertson, A. A. B., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115857119 · Cited by 67
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Self-citationSponheim, C., Papadourakis, V., Collinger, J. L., Downey, J., Weiss, J., Pentousi, L., Elliott, K., & Hatsopoulos, N. G. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac3eaf · Cited by 66
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Cassar, I. R., Yu, C., Sambangi, J., Lee, C. D., Whalen, J. J., Petrossians, A., & Grill, W. M. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.03.017 · Cited by 63
Metadata
- Authors
- Salatino, J. W., Ludwig, K. A., Kozai, T. D. Y., & Purcell, E. K.
- Affiliations
- Michigan State University (US)
- Mayo Clinic (US)
- University of Pittsburgh (US)
- Corresponding author
- Purcell, Erin K.
- Venue
- Nature Biomedical Engineering
- Published
- 2017-11-10
- Volume
- 1
- Issue
- 11
- Pages
- 862-877
- ISSN
- 2157-846X (ISSN-L)
- PMC
- PMC6261524
- OpenAlex
- W2765960015
- Cited by
- 642
- References
- 231
- Citations by year
- 2026: 77 · 2025: 110 · 2024: 92 · 2023: 95 · 2022: 68 · 2021: 76 · 2020: 61 · 2019: 38 · 2018: 24 · 2017: 1
- FWCI
- 16.46
- Type
- journal article
- Language
- en
- Update notices
- correction (2017-12-07)
- Open access
- green
- europepmc.org
- Licence
- Locations
- Nature Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Grainger Foundation
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R03NS095202, R21NS094900, R01NS094396)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
- Keywords
- glial cells, implanted electrodes, neuroprosthetics, neuromodulation, neural interfaces, device implantation outcomes
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