Long-term recording reliability of liquid crystal polymer μ ECoG arrays

Virginia Woods, Michael Trumpis, Brinnae Bent, Kay Palopoli-Trojani, Chia Han Chiang, Charles Wang, Chunxiu Yu, Michele N. Insanally, Robert C. Froemke, Jonathan Viventi

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Objective. The clinical use of microsignals recorded over broad cortical regions is largely limited by the chronic reliability of the implanted interfaces. Approach. We evaluated the chronic reliability of novel 61-channel micro-electrocorticographic (μECoG) arrays in rats chronically implanted for over one year and using accelerated aging. Devices were encapsulated with polyimide (PI) or liquid crystal polymer (LCP), and fabricated using commercial manufacturing processes. In vitro failure modes and predicted lifetimes were determined from accelerated soak testing. Successful designs were implanted epidurally over the rodent auditory cortex. Trends in baseline signal level, evoked responses and decoding performance were reported for over one year of implantation. Main results. Devices fabricated with LCP consistently had longer in vitro lifetimes than PI encapsulation. Our accelerated aging results predicted device integrity beyond 3.4 years. Five implanted arrays showed stable performance over the entire implantation period (247-435 d). Our regression analysis showed that impedance predicted signal quality and information content only in the first 31 d of recordings and had little predictive value in the chronic phase (>31 d). In the chronic phase, site impedances slightly decreased yet decoding performance became statistically uncorrelated with impedance. We also employed an improved statistical model of spatial variation to measure sensitivity to locally varying fields, which is typically concealed in standard signal power calculations. Significance. These findings show that μECoG arrays can reliably perform in chronic applications in vivo for over one year, which facilitates the development of a high-density, clinically viable interface.

Original languageEnglish (US)
Article number066024
JournalJournal of neural engineering
Volume15
Issue number6
DOIs
StatePublished - Oct 22 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 IOP Publishing Ltd.

Keywords

  • chronic reliability
  • liquid crystal polymer
  • micro-ECoG
  • micro-electrocorticography
  • neural interfaces
  • polyimide
  • thin-film arrays

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