Fully desktop fabricated flexible graphene electrocorticography (ECoG) arrays

Jia Hu, Ridwan Fayaz Hossain, Zahra Sadat Navabi Ghamsari, Alana Tillery, Michael C LaRoque, Preston D Donaldson, Sarah L. Swisher, Suhasa B. Kodandaramaiah

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Flexible Electrocorticography (ECoG) electrode arrays that conform to the cortical surface and record surface field potentials from multiple brain regions provide unique insights into how computations occurring in distributed brain regions mediate behavior. Specialized microfabrication methods are required to produce flexible ECoG devices with high-density electrode arrays. However, these fabrication methods are challenging for scientists without access to cleanroom fabrication equipment. Results: Here we present a fully desktop fabricated flexible graphene ECoG array. First, we synthesized a stable, conductive ink via liquid exfoliation of Graphene in Cyrene. Next, we established a stencil-printing process for patterning the graphene ink via laser-cut stencils on flexible polyimide substrates. Benchtop tests indicate that the graphene electrodes have good conductivity of ∼1.1 × 103 S cm−1, flexibility to maintain their electrical connection under static bending, and electrochemical stability in a 15 d accelerated corrosion test. Chronically implanted graphene ECoG devices remain fully functional for up to 180 d, with average in vivo impedances of 24.72 ± 95.23 kΩ at 1 kHz. The ECoG device can measure spontaneous surface field potentials from mice under awake and anesthetized states and sensory stimulus-evoked responses. Significance: The stencil-printing fabrication process can be used to create Graphene ECoG devices with customized electrode layouts within 24 h using commonly available laboratory equipment.

Original languageEnglish (US)
Article number016019
JournalJournal of neural engineering
Volume20
Issue number1
DOIs
StatePublished - Feb 1 2023

Bibliographical note

Funding Information:
SBK and SLS acknowledge NINDS Award #R01NS111028. SBK acknowledges Brain Initiative Award R42NS110165. Parts of this work were carried out in the Characterization Facility, at the University of Minnesota, which receives partial support from the NSF through the MRSEC (Award Number DMR-2011401) and the NNCI (Award Number ECCS-2025124) programs. Portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nanotechnology Coordinated Infrastructure (NNCI) under Award Number ECCS-2025124. We acknowledge Javier Garcia Barriocanal for assistance with the XRD measurements. PDD was supported by NSF IGERT Award DGE-1069104. Skylar Fausner for assistance with animal preparation. We thank Skylar Fausner, Beatrice Gulner, and James Hope for useful comments and critiques of the paper.

Funding Information:
SBK and SLS acknowledge NINDS Award #R01NS111028. SBK acknowledges Brain Initiative Award R42NS110165. Parts of this work were carried out in the Characterization Facility, at the University of Minnesota, which receives partial support from the NSF through the MRSEC (Award Number DMR-2011401) and the NNCI (Award Number ECCS-2025124) programs. Portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nanotechnology Coordinated Infrastructure (NNCI) under Award Number ECCS-2025124. We acknowledge Javier Garcia Barriocanal for assistance with the XRD measurements. PDD was supported by NSF IGERT Award DGE-1069104. Skylar Fausner for assistance with animal preparation. We thank Skylar Fausner, Beatrice Gulner, and James Hope for useful comments and critiques of the paper.

Publisher Copyright:
© 2023 IOP Publishing Ltd.

Keywords

  • Electrocorticography
  • Flexible
  • Graphene

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

Fingerprint

Dive into the research topics of 'Fully desktop fabricated flexible graphene electrocorticography (ECoG) arrays'. Together they form a unique fingerprint.

Cite this