Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices

<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 particula...

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Detalles Bibliográficos
Autores: Sergi, Pier Nicola, Valle i Macià, Jaume del, Stieglitz, Thomas, Navarro, X. (Xavier), Micera, Silvestro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/217150
Acceso en línea:https://hdl.handle.net/2445/217150
Access Level:acceso abierto
Palabra clave:Cicatrius
Nanomedicina
Scars
Nanomedicine
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spelling Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C DevicesSergi, Pier NicolaValle i Macià, Jaume delStieglitz, ThomasNavarro, X. (Xavier)Micera, SilvestroCicatriusNanomedicinaScarsNanomedicine<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>MDPI2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/217150Articles publicats en revistes (Bioquímica i Fisiologia)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/https://doi.org/10.3390/app142210741Applied Sciences, 2024, vol. 14, num.22https://doi.org/https://doi.org/10.3390/app142210741cc-by (c) Sergi, PN. et al., 2024http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2171502026-05-27T06:46:51Z
dc.title.none.fl_str_mv Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
title Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
spellingShingle Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
Sergi, Pier Nicola
Cicatrius
Nanomedicina
Scars
Nanomedicine
title_short Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
title_full Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
title_fullStr Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
title_full_unstemmed Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
title_sort Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
dc.creator.none.fl_str_mv Sergi, Pier Nicola
Valle i Macià, Jaume del
Stieglitz, Thomas
Navarro, X. (Xavier)
Micera, Silvestro
author Sergi, Pier Nicola
author_facet Sergi, Pier Nicola
Valle i Macià, Jaume del
Stieglitz, Thomas
Navarro, X. (Xavier)
Micera, Silvestro
author_role author
author2 Valle i Macià, Jaume del
Stieglitz, Thomas
Navarro, X. (Xavier)
Micera, Silvestro
author2_role author
author
author
author
dc.subject.none.fl_str_mv Cicatrius
Nanomedicina
Scars
Nanomedicine
topic Cicatrius
Nanomedicina
Scars
Nanomedicine
description <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>
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/217150
url https://hdl.handle.net/2445/217150
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/https://doi.org/10.3390/app142210741
Applied Sciences, 2024, vol. 14, num.22
https://doi.org/https://doi.org/10.3390/app142210741
dc.rights.none.fl_str_mv cc-by (c) Sergi, PN. et al., 2024
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Sergi, PN. et al., 2024
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Bioquímica i Fisiologia)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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