1. Graphene-based thin film microelectrode technology forin vivohigh resolution neural recording and stimulation
- Author
-
Damià Viana, Steven T. Walston, Xavier Illa, Jaume del Valle, Andrew Hayward, Abbie Dodd, Thomas Loret, Elisabet Prats-Alfonso, Natàlia de la Oliva, Marie Palma, Elena del Corro, Bruno Rodríguez-Meana, María del Pilar Bernicola, Elisa Rodríguez-Lucas, Thomas A. Gener, Jose Manuel de la Cruz, Miguel Torres-Miranda, Fikret Taygun Duvan, Nicola Ria, Justin Sperling, Sara Martí-Sánchez, Maria Chiara Spadaro, Clément Hébert, Eduard Masvidal-Codina, Sinead Savage, Jordi Arbiol, Anton Guimerà-Brunet, M. Victoria Puig, Xavier Navarro, Blaise Yvert, Kostas Kostarelos, and Jose A. Garrido
- Abstract
Neuroprosthetic technology aims to restore nervous system functionality in cases of severe damage or degeneration by recording and stimulating the electrical activity of the neural tissue. One of the key factors determining the quality of the neuroprostheses is the electrode material used to establish electrical communication with the neural tissue, which is subject to strict electrical, electrochemical, and mechanical specifications as well as biological and microfabrication compatibility requirements. This work presents a nanoporous graphene-based thin film technology and its engineering to form flexible neural implants. Bench measurements show that the developed microelectrodes offer low impedance and high charge injection capacity throughout millions of pulses. In vivo electrode performance was assessed in rodents both from brain surface and intracortically showing high-fidelity recording performance, while stimulation performance was assessed with an intrafascicular implant that demonstrated low current thresholds and high selectivity for activating subsets of axons within the sciatic nerve. Furthermore, the tissue biocompatibility of the devices was validated by chronic epicortical and intraneural implantation. Overall, this works describes a novel graphene-based thin film microelectrode technology and demonstrates its potential for high-precision neural interfacing in both recording and stimulation applications.
- Published
- 2022
- Full Text
- View/download PDF