Conformable polyimide-based μECoGs: Bringing the electrodes closer to the signal source.

Bioelectronics Brain recording Chronic stability Conformability Polyimide-based electrocorticography device Tissue-electrode interface

Journal

Biomaterials
ISSN: 1878-5905
Titre abrégé: Biomaterials
Pays: Netherlands
ID NLM: 8100316

Informations de publication

Date de publication:
10 2020
Historique:
received: 19 02 2020
revised: 01 06 2020
accepted: 05 06 2020
pubmed: 23 6 2020
medline: 15 5 2021
entrez: 23 6 2020
Statut: ppublish

Résumé

Structural biocompatibility is a fundamental requirement for chronically stable bioelectronic devices. Newest neurotechnologies are increasingly focused on minimizing the foreign body response through the development of devices that match the mechanical properties of the implanted tissue and mimic its surface composition, often compromising on their robustness. In this study, an analytical approach is proposed to determine the threshold of conformability for polyimide-based electrocorticography devices. A finite element model was used to quantify the depression of the cortex following the application of devices mechanically above or below conformability threshold. Findings were validated in vivo on rat animal models. Impedance measurements were performed for 40 days after implantation to monitor the status of the biotic/abiotic interface with both conformable and non-conformable implants. Multi-unit activity was then recorded for 12 weeks after implantation using the most compliant device type. It can therefore be concluded that conformability is an essential prerequisite for steady and reliable implants which does not only depend on the Young's modulus of the device material: it strongly relies on the relation between tissue curvature at the implantation site and corresponding device's thickness and geometry, which eventually define the moment of inertia and the interactions at the material-tissue interface.

Identifiants

pubmed: 32569863
pii: S0142-9612(20)30424-5
doi: 10.1016/j.biomaterials.2020.120178
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

120178

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Maria Vomero (M)

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Germany; Currently at Department of Electrical Engineering (SEAS), Columbia University, New York City, USA. Electronic address: mv2803@columbia.edu.

Maria Francisca Porto Cruz (MF)

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy.

Elena Zucchini (E)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy; Section of Human Physiology University of Ferrara, Italy.

Francesca Ciarpella (F)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy; Section of Human Physiology University of Ferrara, Italy; Currently at Section of Pharmacology, Department of Diagnostics and Public Health, University of Verona, Italy.

Emanuela Delfino (E)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy; Section of Human Physiology University of Ferrara, Italy.

Stefano Carli (S)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy.

Christian Boehler (C)

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Germany.

Maria Asplund (M)

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Germany; Division of Nursing and Medical Technology, Luleå University of Technology (LTU), Sweden.

Davide Ricci (D)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy; Currently at University of Genova (DITEN), Italy.

Luciano Fadiga (L)

Center for Translational Neurophysiology of Speech and Communication (IIT), Ferrara, Italy; Section of Human Physiology University of Ferrara, Italy.

Thomas Stieglitz (T)

Department of Microsystems Engineering (IMTEK), University of Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Germany; Bernstein Center Freiburg, University of Freiburg, Germany.

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Classifications MeSH