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A modular high-density μECoG system on macaque vlPFC for auditory cognitive decoding.

Chia-Han Chiang1,2, Jaejin Lee3,2, Charles Wang1

  • 1Department of Biomedical Engineering, Duke University, Durham, NC, United States of America.

Journal of Neural Engineering
|June 5, 2020
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Summary
This summary is machine-generated.

Researchers developed a high-resolution microelectrode array for chronic brain recordings. This system enables robust decoding of auditory perception and behavioral choices from the ventrolateral prefrontal cortex (vlPFC) over one year.

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Area of Science:

  • Neuroscience
  • Auditory System Research
  • Brain-Computer Interface Development

Background:

  • Auditory perception relies on the ventral auditory pathway, including the ventrolateral prefrontal cortex (vlPFC).
  • Understanding the neuronal code in vlPFC is limited due to scarce large-scale auditory signal recordings.
  • High-resolution, long-term neural recordings are needed to elucidate vlPFC's role in auditory processing.

Purpose of the Study:

  • To develop a modular, chronic, high-resolution micro-electrocorticography (µECoG) array system for long-term viability.
  • To identify information decodable from vlPFC µECoG signals.
  • To investigate the spatiotemporal resolution of the neuronal code in vlPFC.

Main Methods:

  • A custom 294-contact µECoG array was molded and implanted subdurally over the vlPFC in a non-human primate.
  • Neural activity was recorded during a 'hearing-in-noise' task with varying target-to-chorus ratios (TCr).
  • Decoding accuracy of TCr and behavioral choices was analyzed based on electrode number, spatial resolution, and time post-implantation.

Main Results:

  • Significant decoding of auditory information and behavioral choices was achieved over a one-year period.
  • Decoding accuracy increased with the simultaneous decoding of more electrodes.
  • Decoding of behavioral choices was more accurate than decoding of TCr.
  • Day-to-day variations in decoding accuracy highlight the importance of high channel counts for robust long-term decoding.

Conclusions:

  • The study demonstrates the utility of high-resolution, high-channel-count chronic µECoG recordings.
  • A scalable surface electrode array was developed for covering larger cortical areas without increasing the implant footprint.
  • This technology advances the study of neural codes underlying auditory perception and decision-making.