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Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation

Careful design and material selection are the most beneficial strategies to ensure successful implantation and mitigate the failure of a neural probe in the long term. In order to realize a fully flexible implantable system, the probe should be easily manipulated by neuroscientists, with the potenti...

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Detalles Bibliográficos
Autores principales: McGlynn, Eve, Walton, Finlay, Das, Rupam, Heidari, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168446/
https://www.ncbi.nlm.nih.gov/pubmed/35658676
http://dx.doi.org/10.1098/rsta.2021.0007
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author McGlynn, Eve
Walton, Finlay
Das, Rupam
Heidari, Hadi
author_facet McGlynn, Eve
Walton, Finlay
Das, Rupam
Heidari, Hadi
author_sort McGlynn, Eve
collection PubMed
description Careful design and material selection are the most beneficial strategies to ensure successful implantation and mitigate the failure of a neural probe in the long term. In order to realize a fully flexible implantable system, the probe should be easily manipulated by neuroscientists, with the potential to bend up to 90°. This paper investigates the impact of material choice, probe geometry, and crucially, implantation angle on implantation success through finite-element method simulations in COMSOL Multiphysics followed by cleanroom microfabrication. The designs introduced in this paper were fabricated using two polyimides: (i) PI-2545 as a release layer and (ii) photodefinable HD-4110 as the probe substrate. Four different designs were microfabricated, and the implantation tests were compared between an agarose brain phantom and lamb brain samples. The probes were scanned in a 7 T PharmaScan MRI coil to investigate potential artefacts. From the simulation, a triangular base and 50 µm polymer thickness were identified as the optimum design, which produced a probe 57.7 µm thick when fabricated. The probes exhibit excellent flexibility, exemplified in three-point bending tests performed with a DAGE 4000Plus. Successful implantation is possible for a range of angles between 30° and 90°. This article is part of the theme issue ‘Advanced neurotechnologies: translating innovation for health and well-being’.
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spelling pubmed-91684462022-06-12 Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation McGlynn, Eve Walton, Finlay Das, Rupam Heidari, Hadi Philos Trans A Math Phys Eng Sci Articles Careful design and material selection are the most beneficial strategies to ensure successful implantation and mitigate the failure of a neural probe in the long term. In order to realize a fully flexible implantable system, the probe should be easily manipulated by neuroscientists, with the potential to bend up to 90°. This paper investigates the impact of material choice, probe geometry, and crucially, implantation angle on implantation success through finite-element method simulations in COMSOL Multiphysics followed by cleanroom microfabrication. The designs introduced in this paper were fabricated using two polyimides: (i) PI-2545 as a release layer and (ii) photodefinable HD-4110 as the probe substrate. Four different designs were microfabricated, and the implantation tests were compared between an agarose brain phantom and lamb brain samples. The probes were scanned in a 7 T PharmaScan MRI coil to investigate potential artefacts. From the simulation, a triangular base and 50 µm polymer thickness were identified as the optimum design, which produced a probe 57.7 µm thick when fabricated. The probes exhibit excellent flexibility, exemplified in three-point bending tests performed with a DAGE 4000Plus. Successful implantation is possible for a range of angles between 30° and 90°. This article is part of the theme issue ‘Advanced neurotechnologies: translating innovation for health and well-being’. The Royal Society 2022-07-25 2022-06-06 /pmc/articles/PMC9168446/ /pubmed/35658676 http://dx.doi.org/10.1098/rsta.2021.0007 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
McGlynn, Eve
Walton, Finlay
Das, Rupam
Heidari, Hadi
Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title_full Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title_fullStr Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title_full_unstemmed Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title_short Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
title_sort neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168446/
https://www.ncbi.nlm.nih.gov/pubmed/35658676
http://dx.doi.org/10.1098/rsta.2021.0007
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