High-performance, Conformable, Stencil Fabricated Graphene μ-ECoG Array

Ridwan Fayaz Hossain, Jia Hu, Zahra S. Navabi, Alana Tillery, Suhasa B. Kodandaramaiah

Research output: Chapter in Book/Report/Conference proceedingConference contribution


To study the brain, there is a need for an easy-accessible neurosensing tool for performing brain recording in high spatiotemporal resolution. Most electrocorticography (ECoG) electrode arrays to date are based on microfabrication techniques, making them expensive and challenging to reconfigure for experiment-specific electrode designs. Here, we investigate a low-cost, liquid exfoliated two-dimensional graphene-based, flexible, 16 channel μ-ECoG electrode array implanted on the cortex in rodents for high-resolution neurophysiological recording and in vivo optical imaging. For the first time, a low-cost, mass-producible, stencil-based technique for fabricating an ECoG array is successfully developed where a flexible mask was crafted with a laser cutter that evades the use of expensive micromachining. The array was successfully implanted in mice maintaining an average surface impedance of 369 MΩ.μm2 at 1 kHz after 1 week of implantation, which is 4 times lower than the prior reports. We also present a direct comparison of the simultaneous recording in awake and anesthetized states, where the brain signals at the awake state demonstrated more complex signal characteristics. The device should pave the way towards fundamental studies on behaviors and disease models.

Original languageEnglish (US)
Title of host publicationBioCAS 2021 - IEEE Biomedical Circuits and Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172040
StatePublished - 2021
Event2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021 - Virtual, Online, Germany
Duration: Oct 6 2021Oct 9 2021

Publication series

NameBioCAS 2021 - IEEE Biomedical Circuits and Systems Conference, Proceedings


Conference2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021
CityVirtual, Online

Bibliographical note

Funding Information:
SBK acknowledges support from R01NS111028, RF1NS113287, R42NS110165. We are also grateful for the support from the ‘Anderson Student Innovation Labs’ at the University of Minnesota Twin Cities.

Publisher Copyright:
© 2021 IEEE.


  • 2D Graphene
  • Cyrene
  • Liquid Exfoliation
  • Neural Interface
  • μ-ECoG


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