A soft and stretchable bilayer electrode array with independent functional layers for the next generation of brain machine interfaces

Oliver Graudejus, Cody Barton, Ruben D. Ponce Wong, Cami C. Rowan, Denise Oswalt, Bradley Greger

Research output: Contribution to journalArticlepeer-review

Abstract

Objective. Brain-Machine Interfaces (BMIs) hold great promises for advancing neuroprosthetics, robotics, and for providing treatment options for severe neurological diseases. The objective of this work is the development and in vivo evaluation of electrodes for BMIs that meet the needs to record brain activity at sub-millimeter resolution over a large area of the cortex while being soft and electromechanically robust (i.e. stretchable). Approach. Current electrodes require a trade-off between high spatiotemporal resolution and cortical coverage area. To address the needs for simultaneous high resolution and large cortical coverage, the prototype electrode array developed in this study employs a novel bilayer routing of soft and stretchable lead wires from the recording sites on the surface of the brain (electrocorticography, ECoG) to the data acquisition system. Main results. To validate the recording characteristics, the array was implanted in healthy felines for up to 5 months. Neural signals recorded from both layers of the device showed elevated mid-frequency structures typical of local field potential (LFP) signals that were stable in amplitude over implant duration, and also exhibited consistent frequency-dependent modulation after anesthesia induction by Telazol. Significance. The successful development of a soft and stretchable large-area, high resolution micro ECoG electrode array (lahrµECoG) is an important step to meet the neurotechnological needs of advanced BMI applications.

Original languageEnglish (US)
Article number056023
JournalJournal of neural engineering
Volume17
Issue number5
DOIs
StatePublished - Oct 2020

Keywords

  • Brain-machine interfaces
  • Electrocorticography
  • Electrode
  • Gold
  • Thin films

ASJC Scopus subject areas

  • Biomedical Engineering
  • Cellular and Molecular Neuroscience

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