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Characterization of Mechanically Matched Hydrogel Coatings to Improve the Biocompatibility of Neural Implants

Author(s)
Spencer, Kevin C; Sy, Jay C.; Ramadi, Khalil; Graybiel, Ann M; Langer, Robert S; Cima, Michael J.; ... Show more Show less
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Abstract
Glial scar is a significant barrier to neural implant function. Micromotion between the implant and tissue is suspected to be a key driver of glial scar formation around neural implants. This study explores the ability of soft hydrogel coatings to modulate glial scar formation by reducing local strain. PEG hydrogels with controllable thickness and elastic moduli were formed on the surface of neural probes. These coatings significantly reduced the local strain resulting from micromotion around the implants. Coated implants were found to significantly reduce scarring in vivo, compared to hard implants of identical diameter. Increasing implant diameter was found to significantly increase scarring for glass implants, as well as increase local BBB permeability, increase macrophage activation, and decrease the local neural density. These results highlight the tradeoff in mechanical benefit with the size effects from increasing the overall diameter following the addition of a hydrogel coating. This study emphasizes the importance of both mechanical and geometric factors of neural implants on chronic timescales.
Date issued
2017-05
URI
http://hdl.handle.net/1721.1/111790
Department
Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Department of Materials Science and Engineering; McGovern Institute for Brain Research at MIT; Koch Institute for Integrative Cancer Research at MIT
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Spencer, Kevin C. et al. “Characterization of Mechanically Matched Hydrogel Coatings to Improve the Biocompatibility of Neural Implants.” Scientific Reports 7, 1 (May 2017): 1952 © 2017 The Author(s)
Version: Final published version
ISSN
2045-2322

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