Quantitative analysis of the tissue response to chronically implanted microwire electrodes in rat cortex.
Abstract
Several hypotheses have been proposed to explain how the brain tissue reaction to single unit recording electrodes influences biocompatibility including progressive changes in the spatial distribution of reactive astrocytes, and the loss of neurons over the indwelling period. To examine these hypotheses, the spatial distribution of biomarkers associated with the foreign body response to insulated microwires placed in rat cerebral cortex was analyzed 2, 4, and 12 weeks after implantation using quantitative methods. We observed a stereotypical tissue response that was similar in some aspects to that previously reported for penetrating planar silicon microelectrode arrays with some specific differences including an overall lower degree of cortical tissue reactivity. While we found no evidence that reactive gliosis increases over time or that neuronal loss is progressive, we did find evidence of persistent inflammation and enhanced BBB permeability at the electrode brain tissue interface that extended over the 3 month indwelling period and that exhibited more animal to animal variability at 3 months than at 2 and 4 weeks.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Systems have performed well during acute recordings, but failed to function reliably over clinically relevant timelines, the result of brain tissue reaction against implants.
“Systems have performed well during acute recordings, but failed to function reliably over clinically relevant timelines, the result of brain tissue reaction against implants, making biocompatibility of implanted BCI systems a primary concern in current device design (Polikov et al., 2005; Winslow and Tresco, 2010; Tresco and Winslow, 2011).”
From Human Brain/Cloud Interface (2019) · cites this paper as Winslow and Tresco, 2010
Cites
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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
Jorfi, M., Skousen, J. L., Weder, C., & Capadona, J. R. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/011001 · Cited by 384 · see citing works
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
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
Mechanically-compliant intracortical implants reduce the neuroinflammatory response
Nguyen, J. K., Park, D. J., Skousen, J. L., Hess-Dunning, A. E., Tyler, D. J., Rowan, S. J., Weder, C., & Capadona, J. R. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056014 · Cited by 274 · see citing works
Chronic <i>in vivo</i> 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
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
Winslow, B. D., Christensen, M. B., Yang, W.-K., Solzbacher, F., & Tresco, P. A. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.05.050 · Cited by 171 · see citing works
Self-citationSoft and MRI Compatible Neural Electrodes from Carbon Nanotube Fibers
Lu, L., Fu, X., Liew, Y., Zhang, Y., Zhao, S., Xu, Z., Zhao, J., Li, D., Li, Q., Stanley, G. B., et al. (2019) · Nano Letters · doi:10.1021/acs.nanolett.8b04456 · Cited by 146 · see citing works
The foreign body response to the Utah Slant Electrode Array in the cat sciatic nerve
Christensen, M. B., Pearce, S. M., Ledbetter, N. M., Warren, D. J., Clark, G. A., & Tresco, P. A. (2014) · Acta Biomaterialia · doi:10.1016/j.actbio.2014.07.010 · Cited by 135 · see citing works
Self-citationThe future of neuroscience: flexible and wireless implantable neural electronics
McGlynn, E., Nabaei, V., Ren, E., Galeote‐Checa, G., Das, R., Curia, G., & Heidari, H. (2021) · Advanced Science · doi:10.1002/advs.202002693 · Cited by 115 · see citing works
Skousen, J. L., Merriam, S. M. E., Srivannavit, O., Perlin, G., Wise, K. D., & Tresco, P. A. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53815-4.00009-1 · Cited by 111 · see citing works
Self-citationInterfacing the Somatosensory System to Restore Touch and Proprioception: Essential Considerations
Weber, D. J., Friesen, R., & Miller, L. E. (2012) · Journal of Motor Behavior · doi:10.1080/00222895.2012.735283 · Cited by 98 · see citing works
Tissue-engineered peripheral nerve interfaces
Spearman, B. S., Desai, V. H., Mobini, S., McDermott, M. D., Graham, J. B., Otto, K. J., Judy, J. W., & Schmidt, C. E. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701713 · Cited by 96 · see citing works
Amorphous silicon carbide ultramicroelectrode arrays for neural stimulation and recording
Deku, F., Cohen, Y., Joshi-Imre, A., Kanneganti, A., Gardner, T. J., & Cogan, S. F. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8f8b · Cited by 89 · see citing works
Martins, N. R. B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F. J., Opris, I., Lebedev, M. A., Swan, M., Garan, S. A., Rosenfeld, J. V., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00112 · Cited by 91 · see citing works
Phasic dopamine signals: from subjective reward value to formal economic utility
Schultz, W., Carelli, R. M., & Wightman, R. M. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.09.006 · Cited by 88 · see citing works
Skousen, J. L., Bridge, M. J., & Tresco, P. A. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2014.08.039 · Cited by 61 · see citing works
Self-citationWark, H. A. C., Mathews, K. S., Normann, R. A., & Fernandez, E. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/4/046027 · Cited by 54 · see citing works
Material considerations for peripheral nerve interfacing
Kim, Y.-T., & Romero-Ortega, M. I. (2012) · MRS Bulletin · doi:10.1557/mrs.2012.99 · Cited by 47 · see citing works
Yin, P., Liu, Y., Xiao, L., & Zhang, C. (2021) · Polymers · doi:10.3390/polym13162834 · Cited by 42 · see citing works
The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform
Hettick, M., Ho, E., Poole, A. J., Monge, M., Papageorgiou, D., Takahashi, K., LaMarca, M., Trietsch, D., Reed, K., Murphy, M., et al. (2022) · doi:10.1101/2022.01.02.474656 · Cited by 31 · see citing works
Approaches to a cortical vision prosthesis: implications of electrode size and placement
Christie, B. P., Ashmont, K. R., House, P. A., & Greger, B. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/025003 · Cited by 26 · see citing works
- Authors
- Winslow, B. D., & Tresco, P. A.
- Affiliations
- University of Utah (US)
- Corresponding author
- Tresco, Patrick A.
- ORCID
- Winslow, Brent D.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 31
- Issue
- 7
- Pages
- 1558-1567
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1975669290
- Cited by
- 178
- References
- 1
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 3 · 2023: 7 · 2022: 10 · 2021: 12 · 2020: 9 · 2019: 13 · 2018: 12 · 2017: 11 · 2016: 14 · 2015: 14 · 2014: 26 · 2013: 12 · 2012: 12
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biomaterials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01 NS046770)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- microwire electrodes, chronic implantation, cerebral cortex, foreign body reaction, biocompatibility, reactive astrocytes, gliosis, neuronal loss, chronic inflammation, blood-brain barrier permeability, electrode-tissue interface
- MeSH terms
- Animals, Cerebral Cortex, Electrodes, Implanted, Myelin Basic Protein, Foreign-Body Reaction, Glial Fibrillary Acidic Protein, Immunoglobulin G, Microelectrodes, Nerve Tissue Proteins, Neuroglia, Neurons, Time Factors, Neurofilament Proteins, Rats, Sprague-Dawley, Prosthesis Implantation, Antigens, Nuclear, Rats
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