dc.contributor.author
Sergi, Pier Nicola
dc.contributor.author
Valle i Macià, Jaume del
dc.contributor.author
Stieglitz, Thomas
dc.contributor.author
Navarro, X. (Xavier)
dc.contributor.author
Micera, Silvestro
dc.date.issued
2024-12-17T12:44:14Z
dc.date.issued
2024-12-17T12:44:14Z
dc.date.issued
2024-11-20
dc.date.issued
2024-12-17T12:44:14Z
dc.identifier
https://hdl.handle.net/2445/217150
dc.description.abstract
<span style="color:rgb( 34 , 34 , 34 )">The implantation of materials into in vivo peripheral nerves triggers the production of scar tissue. A scar capsule progressively incorporates foreign bodies, which become insulated from the surrounding environment. This phenomenon is particularly detrimental in the case of electrical active sites enveloped within scar sheets, since the loss of contact with axons highly decreases the effectiveness of neural interfaces. As a consequence, the in silico modelling of scar capsule evolution may lead to improvements in the design of intraneural structures and enhancing their reliability over time. In this work, a novel theoretical framework is proposed to model the evolution of capsule thickness over time together with an improved optimisation procedure able to avoid apparently suitable choices resulting from standard procedures. This framework provides a fast, simple, and accurate modelling of experimental data ( 2=0.97), definitely improving on previous approaches</span>
dc.format
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/app142210741
dc.relation
Applied Sciences, 2024, vol. 14, num.22
dc.relation
https://doi.org/https://doi.org/10.3390/app142210741
dc.rights
cc-by (c) Sergi, PN. et al., 2024
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Bioquímica i Fisiologia)
dc.title
Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion