Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices
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 e...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10741 |
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| author | Pier Nicola Sergi Jaume del Valle Thomas Stieglitz Xavier Navarro Silvestro Micera |
| author_facet | Pier Nicola Sergi Jaume del Valle Thomas Stieglitz Xavier Navarro Silvestro Micera |
| author_sort | Pier Nicola Sergi |
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| description | 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.97</mn></mrow></semantics></math></inline-formula>), definitely improving on previous approaches. |
| format | Article |
| id | doaj-art-cee2162b627b4f4fb0461582d80487d3 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-cee2162b627b4f4fb0461582d80487d32025-08-20T01:53:49ZengMDPI AGApplied Sciences2076-34172024-11-0114221074110.3390/app142210741Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C DevicesPier Nicola Sergi0Jaume del Valle1Thomas Stieglitz2Xavier Navarro3Silvestro Micera4Translational Neural Engineering Area, The BioRobotics Institute, Department of Excellence in Robotics and Artificial Intelligence, Sant’Anna School of Advanced Studies, Piazza Martiri della Libertà, 33, 56127 Pisa, ItalyInstitut de Neurociències, and Department of Cell Biology, Physiology and Immunology, Universitat Autònoma de Barcelona, 08193 Bellaterra, SpainLaboratory for Biomedical Microtechnology, Department of Microsystems Engineering (IMTEK) and BrainLinks-BrainTools Center, Albert-Ludwigs-Universität Freiburg, 79110 Freiburg im Breisgau, GermanyInstitut de Neurociències, and Department of Cell Biology, Physiology and Immunology, Universitat Autònoma de Barcelona, 08193 Bellaterra, SpainTranslational Neural Engineering Area, The BioRobotics Institute, Department of Excellence in Robotics and Artificial Intelligence, Sant’Anna School of Advanced Studies, Piazza Martiri della Libertà, 33, 56127 Pisa, ItalyThe 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.97</mn></mrow></semantics></math></inline-formula>), definitely improving on previous approaches.https://www.mdpi.com/2076-3417/14/22/10741neural implantsforeign body reactionscar tissueperipheral nerves |
| spellingShingle | Pier Nicola Sergi Jaume del Valle Thomas Stieglitz Xavier Navarro Silvestro Micera Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices Applied Sciences neural implants foreign body reaction scar tissue peripheral nerves |
| title | 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_short | 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 |
| topic | neural implants foreign body reaction scar tissue peripheral nerves |
| url | https://www.mdpi.com/2076-3417/14/22/10741 |
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