Inkjet-Printed Silver Electrode Array for in-vivo Electrocorticography

Preston D. Donaldson, Leila Ghanbari, Mathew L. Rynes, Suhasa Bangalore Kodandaramaiah, Sarah L Swisher

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

5 Scopus citations


Electrocorticography (ECoG) is an important neuroscientific tool for acquiring information about brain states and mesoscopic neural activity. Additionally, the use of ECoG and the higher resolution technique micro-ECoG (μECoG) show promise in Brain-Machine Interface (BMI) applications for motor and speech prosthetics. Commercially available μECoG arrays made through photolithographic and vapor-deposition processes allow neuroscientists to incorporate μECoG into their studies, however, these electrode arrays can be expensive and do not lend themselves to easy reconfigurability for experiment-specific electrode layouts. Here we show a process for patterning μECoG electrode arrays using inkjet printing on a 50 μm thick PET substrate. With inkjet printing, we achieve electrode active areas with 300 μm diameters and interconnects with a 500 μm pitch. These electrode arrays demonstrate an average impedance of 2.5 kΩ at 100 Hz and were used to record local field potentials from the mouse somatosensory cortex with signal-to-noise ratios between 30-45 dB. Our results demonstrate the feasibility of using inkjet-patterned μECoG electrode arrays in future neuroscientific studies. Furthermore, we expect printed μECoG arrays to be compatible with roll-to-roll processing for high-throughput and low-cost manufacturing, decreasing the cost-barrier for neuroscientists seeking to incorporate customizable μECoG electrode arrays into their experimental design.

Original languageEnglish (US)
Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781538679210
StatePublished - May 16 2019
Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
Duration: Mar 20 2019Mar 23 2019

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554


Conference9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Funding Information:
* This work was supported by the Office of the Vice President for Research and the MnDRIVE RSAM Initiative, University of Minnesota. A portion of this work was carried out in the Minnesota Nano Center which receives partial support from the National Science Foundation through the NNCI program. Part of this work was carried out in the College of Science and Engineering Characterization Facility, University of Minnesota, which has received capital equipment funding from the NSF through the UMN MRSEC program under Award number DMR-1420013. This research was supported in part by NSF IGERT grant DGE-1069104.

Publisher Copyright:
© 2019 IEEE.

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