Tuning the Physically Induced Crystallinity of Microfabricated Bioresorbable Guides for Insertion of Flexible Neural Implants

Author:

Mousavi Hajar1,Schoutens Emmie12,Merhie Amira El1,Dieuset Gabriel3,Dauly Gautier3,Galliani Marina1,Wendling Fabrice3,Ismailova Esma1ORCID

Affiliation:

1. Département BEL, Centre CMP Mines Saint‐Etienne Gardanne F‐13541 France

2. Department of Biomedical Engineering Eindhoven University of Technology 513 Eindhoven 5600 MB Netherlands

3. Inserm University of Rennes LTSI‐U1099 Rennes 3500 France

Abstract

AbstractDevices that safely interface with the brain are critical to advancing neuroengineering. Thin and flexible neural implants show great promise alongside established silicon technologies. They therefore require a physical stiffener to allow their insertion into brain tissue. Bioresorbable polymer shanks are novel transient guides  enabling accurate implantation using biocompatible materials that will be absorbed by the body over time. The development of materials with optimized stiffness and degradation is needed to provide minimally invasive probes with precise insertion capability under surgical conditions. A microfabrication protocol for the patterning of polyvinyl alcohol and its physical cross‐linking is presented, resulting in insertion guides with precise shapes and tunable degradation and stiffness. The results demonstrate a remarkable improvement in batch fabricating micro‐scale neural shanks with designed crystallinity. It results in their prolonged degradation time, evaluated in agarose gel, and remarkably improved penetrability due to the increase in mechanical stiffness. In vitro and in vivo studies support the high acceptability of this combination in interfacing with neural cells and tissue. This work represents a novel approach to the material and process engineering of bioresorbable polymers for developing fully organic and safe implants.

Funder

Agence Nationale de la Recherche

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Progress in Mechanical Modeling of Implantable Flexible Neural Probes;Computer Modeling in Engineering & Sciences;2024

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