Replication Data for: "Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation"

DOI

One of the critical factors determining the performance of neural interfaces is the electrode material used to establish electrical communication with the neural tissue, which needs to meet strict electrical, electrochemical, mechanical, biological and microfabrication compatibility requirements. This work presents a nanoporous graphene-based thin-film technology and its engineering to form flexible neural interfaces. The developed technology allows the fabrication of small microelectrodes (25 µm diameter) while achieving low impedance (∼25 kΩ) and high charge injection (3–5 mC cm−2). In vivo brain recording performance assessed in rodents reveals high-fidelity recordings (signal-to-noise ratio >10 dB for local field potentials), while stimulation performance assessed with an intrafascicular implant demonstrates low current thresholds (0.8) for activating subsets of axons within the rat sciatic nerve innervating tibialis anterior and plantar interosseous muscles. Furthermore, the tissue biocompatibility of the devices was validated by chronic epicortical (12 week) and intraneural (8 week) implantation. This work describes a graphene-based thin-film microelectrode technology and demonstrates its potential for high-precision and high-resolution neural interfacing.

Identifier
DOI https://doi.org/10.34810/data1786
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1786
Provenance
Creator Masvidal Codina, Eduard ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Masvidal Codina, Eduard; Advanced Electronic Materials and Devices
Publication Year 2024
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Masvidal Codina, Eduard (ICN2)
Representation
Resource Type Experimental data; Dataset
Format application/octet-stream; text/tab-separated-values; text/plain; application/matlab-mat
Size 12443; 12350; 1144437; 35517; 35224; 68952; 74828; 22390; 77417648; 910; 909; 32778; 51078; 76590; 2438220015; 2505710337; 1849731740; 368433448; 2110875162; 84675579; 2478461047; 2429148; 1124988; 464700; 871289243; 1113; 603; 9278; 827; 18218
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences; Medicine