The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Silk as a Multifunctional Biomaterial Substrate for Reduced Glial Scarring around Brain‐Penetrating Electrodes
Open accessAbstract
The reliability of chronic, brain‐penetrating electrodes must be improved for these ‐neural recording technologies to be viable in widespread clinical applications. One approach to improving electrode reliability is to reduce the foreign body response at the probe‐tissue interface. In this work, silk fibroin is investigated as a candidate material for fabricating mechanically dynamic neural probes with enhanced biocompatibility compared to traditional electrode materials. Silk coatings are applied to flexible cortical electrodes to produce devices that transition from stiff to flexible upon hydration. Theoretical modeling and in vitro testing show that the silk coatings impart mechanical properties sufficient for the electrodes to penetrate brain tissue. Further, it is demonstrated that silk coatings may reduce some markers of gliosis in an in vitro model and that silk can encapsulate and release the gliosis‐modifying enzyme chondroitinase ABC. This work establishes a basis for future in vivo studies of silk‐based brain‐penetrating electrodes, as well as the use of silk materials for other applications in the central nervous system where gliosis must be controlled.
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Cites
Altman, G. H., Diaz, F., Jakuba, C., Calabro, T., Horan, R. L., Chen, J., Lu, H., Richmond, J., & Kaplan, D. L. (2003) · Biomaterials · doi:10.1016/s0142-9612(02)00353-8 · Cited by 3,458
Self-citationFarndale, R. W., Buttle, D. J., & Barrett, A. J. (1986) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(86)90306-5 · Cited by 3,309
Materials fabrication from Bombyx mori silk fibroin
Rockwood, D. N., Preda, R. C., Yücel, T., Wang, X., Lovett, M. L., & Kaplan, D. L. (2011) · Nature Protocols · doi:10.1038/nprot.2011.379 · Cited by 3,149
Self-citationResponse 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
Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics
Kim, D.-H., Viventi, J., Amsden, J. J., Xiao, J., Vigeland, L., Kim, Y.-S., Blanco, J. A., Panilaitis, B., Frechette, E. S., Contreras, D., et al. (2010) · Nature Materials · doi:10.1038/nmat2745 · Cited by 1,721
Self-citationFitch, M. T., & Silver, J. (2008) · Experimental Neurology · doi:10.1016/j.expneurol.2007.05.014 · Cited by 1,007
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
In vivo degradation of three-dimensional silk fibroin scaffolds
Wang, Y., Rudym, D., Walsh, A., Abrahamsen, L., Kim, H.-J., Kim, H. S., Kirker‐Head, C. A., & Kaplan, D. L. (2008) · Biomaterials · doi:10.1016/j.biomaterials.2008.05.002 · Cited by 788
Self-citationThe inflammatory responses to silk films in vitro and in vivo
Meinel, L., Hofmann, S., Karageorgiou, V., Kirker‐Head, C. A., McCool, J., Gronowicz, G., Zichner, L., Langer, R., Vunjak‐Novakovic, G., & Kaplan, D. L. (2004) · Biomaterials · doi:10.1016/j.biomaterials.2004.02.047 · Cited by 785
Self-citationWater-insoluble silk films with silk I structure
Lu, Q., Hu, X., Wang, X., Kluge, J. A., Lu, S., Cebe, P., & Kaplan, D. L. (2010) · Acta Biomaterialia · doi:10.1016/j.actbio.2009.10.041 · Cited by 654
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- T.Suzuki K.Mabuchi S.Takeuchi inProc. First International IEEE EMBS Conference on Neural Engineering2003; pp.154–156.
- Y.Zhong G. C.McConnell J. D.Ross S. P.DeWeerth R. V.Bellamkonda in2nd International IEEE EMBS Conference on Neural Engineering 2005 pp.522–525.
- F.Wu M.Im E.Yoon in16th International Solid‐State Sensors Actuators and Microsystems Conference (TRANSDUCERS) 2011 pp.966–969.
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Guarino, V., Benfenati, V., Maya, I. C., Borrachero‐Conejo, A. I., Zamboni, R., & Ambrosio, L. (2017) · Elsevier eBooks · doi:10.1016/b978-0-08-100979-6.00003-3 · Cited by 6
Dextran as a fast resorbable and mechanically stiff coating for flexible neural probes
Kil, D., Brancato, L., & Puers, R. (2017) · Journal of Physics Conference Series · doi:10.1088/1742-6596/922/1/012016 · Cited by 6
Fluctuation of puncture force in medical needle puncture of soft solids
Liu, J., Jiang, Z., Hu, N., Zhang, Q., Li, Y., Zhong, D., & Wang, P. (2023) · Polymer Testing · doi:10.1016/j.polymertesting.2023.108218 · Cited by 5
Kilias, A., Lee, Y., Froriep, U. P., Sielaff, C., Moser, D., Holzhammer, T., Egert, U., Fang, W., Paul, O., & Ruther, P. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac39b7 · Cited by 5
Tissue Engineering of the Nervous System
Dalton, P. D., Harvey, A. R., Oudega, M., & Plant, G. W. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-420145-3.00017-1 · Cited by 5
Sensing and Stimulating Electrodes for Electroceuticals
Liu, X., Wang, K., González‐González, M. A., Romero‐Ortega, M. I., & Wallace, G. G. (2022) · Frontiers in Sensors · doi:10.3389/fsens.2022.873862 · Cited by 4
Generation of axolotl hematopoietic chimeras
Lopez, D., & Scott, E. W. (2015) · Journal of Biological Methods · doi:10.14440/jbm.2015.43 · Cited by 3
Shang, S., Xu, Y., Jin, M., Ni, C., Jiang, H., Wang, X., Wang, X., Cheng, Y., Wang, M., Zhang, S., et al. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.136891 · Cited by 3
Materials and Designs for Multimodal Flexible Neural Probes
Sunwoo, S. H., & Kim, T. (2016) · Microsystems and nanosystems · doi:10.1007/978-3-319-28694-5_15 · Cited by 3
Irreversible, self-aligned microfluidic packaging for chronic implant applications
Szabo, E., & Hess‐Dunning, A. (2021) · Journal of Micromechanics and Microengineering · doi:10.1088/1361-6439/ac1994 · Cited by 3
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Schlotterose, L., Dengiz, D., Ersahin, M. G., Quandt, E., Steffens, K., Schade, D., Cossais, F., Lucius, R., & Hattermann, K. (2025) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbmb.70007 · Cited by 2
Gao, X., Shi, J., Huang, P., 李学恩, Zhou, J., & Huang, Z. (2026) · Colloids and Surfaces A Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2026.140268 · Cited by 1
Yi, D., Lat, K. I. E., & Chen, L. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1800280 · Cited by 1
A flexible neural probe with electrodeposited silk composite as an insertion shuttle
Kim, M. K., Leong, J. C., & Lee, H. J. (2023) · IEEE Electron Devices Technology & Manufacturing Conference (EDTM) · doi:10.1109/edtm55494.2023.10103041 · Cited by 1
Yuan, Q., Wang, J., Qin, C., Shang, S., Xu, H., Wu, F., Qiu, Y., Zhang, H., Sun, R., Wang, P., et al. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.162987 · Cited by 1
Self-citationLawrence, B. D., & Infanger, D. W. (2023) · Research Square · doi:10.21203/rs.3.rs-3299255/v1 · Cited by 1
Fernández-Serra, R. (2023) · doi:10.20868/upm.thesis.76930 · Cited by 1
Micro/nanoscale needle technology for brain
Kawano, T. (2016) · IEEE International Conference on Nanotechnology (IEEE-NANO) · doi:10.1109/nano.2016.7751568
Wu, F. (2015) · Deep Blue (University of Michigan)
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Yamagiwa, S., Sawahata, H., & Kawano, T. (2018) · Wiley eBooks · doi:10.1002/9783527804856.ch15
Zhou, X., Zhang, W., & Xie, J. (2020) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-020-2243-7
Coatings for Microneural Implants: Biological and Mechanical Considerations
Olczak, K. P., & Otto, K. J. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_132-1 · Cited by 1
Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing
Patil, A. C., & Thakor, N. V. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_16-2
Coatings for Microneural Implants: Biological and Mechanical Considerations
Olczak, K. P., & Otto, K. J. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_132
Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing
Patil, A. C., & Thakor, N. V. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_16
Silk proteins toward optical and electrical devices
Perotto, G., & Kim, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-96017-5.00004-2
Flexible intracortical probes for stable neural recording: from the perspective of structure
Wang, S., Jiang, Q., & Song, J. (2024) · Flexible and Printed Electronics · doi:10.1088/2058-8585/ad71dc
Pearson, J. J., Chiou, G., Rahman, M. L., Gonzalez, G., Bizios, R., Ong, J. L., & Guda, T. (2025) · Biomedical Materials & Devices · doi:10.1007/s44174-025-00290-9
Designing interfacial hydration in natural polymers via intermediate water
Cho, I. S., & Tanaka, M. (2026) · MRS Communications · doi:10.1557/s43579-026-00925-y
Lecomte, A. (2016) · theses.fr (ABES) · doi:10.70675/35f1b701z4fa6z4788z8058z1632b88ad35f
Yi, D., Kwankam, N., & Chen, L. (2026) · Medical Engineering & Physics · doi:10.1088/1873-4030/ae691d
Lin, X., Ma, J., Ya, L., Li, X., Hu, Y., Wang, Y., Zhong, H., Yang, X., Li, J., Chen, K., et al. (2026) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2026.118113
Gu, W., Ju, J., & Wang, L. (2026) · Small · doi:10.1002/smll.74206
Chen, Z., Tang, Y., Zhang, S., Li, X., Li, H., Zhao, W., Zou, S., Lin, H., Gong, W., Si, K., et al. (2026) · Soft Science · doi:10.20517/ss.2026.68
Metadata
- Authors
- Tien, L. W., Wu, F., Tang‐Schomer, M. D., Yoon, E., Omenetto, F. G., & Kaplan, D. L.
- Affiliations
- Tufts University (US)
- University of Michigan (US)
- Corresponding author
- Kaplan, David L.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2013-01-24
- Volume
- 23
- Issue
- 25
- Pages
- 3185-3193
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2021310862
- Cited by
- 136
- References
- 75
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 7 · 2023: 9 · 2022: 12 · 2021: 15 · 2020: 14 · 2019: 4 · 2018: 9 · 2017: 13 · 2016: 9 · 2015: 10 · 2014: 14 · 2013: 4
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Advanced Functional Materials (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Institutes of Health (EB002520)
- Air Force Office of Scientific Research
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Materials Science › Biomaterials › Silk-based biomaterials and applications
- Physical Sciences › Materials Science › Biomaterials › Electrospun Nanofibers in Biomedical Applications
- Keywords
- silk fibroin, glial scar, gliosis, foreign body reaction, neural recording, hydrogel coating, chondroitinase ABC, enzyme encapsulation, biocompatibility, mechanical properties
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