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Construction and Implementation of Carbon Fiber Microelectrode Arrays for Chronic and Acute In Vivo Recordings
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Thin flexible arrays for long-term multi-electrode recordings in macaque primary visual cortex.

Lara Merken1,2, Maarten Schelles3,4, Frederik Ceyssens4

  • 1Laboratory for Neuro- and Psychophysiology, KU Leuven, Leuven 3000, Belgium.

Journal of Neural Engineering
|October 10, 2022
PubMed
Summary

New flexible multi-electrode arrays (MEAs) enable long-term, high-density neural recordings in large animals. These brain-compatible arrays offer improved scalability and coverage for future brain-machine interfaces.

Keywords:
arraysbrainelectrodesinsertionmulti-electrodeneuronalvisual cortex

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Implantable Devices

Background:

  • Large-scale invasive neural recordings are crucial for neuroscience research.
  • Existing technologies face challenges in large animals due to brain size and complexity.
  • There is a need for chronic, high-density neural recording solutions in primates and humans.

Purpose of the Study:

  • To evaluate thin, flexible multi-electrode arrays (MEAs) for long-term neural recording in macaque monkeys.
  • To assess the electrical, mechanical, and magnetic resonance imaging (MRI) properties of the MEAs.
  • To determine the capacity of MEAs for recording neuronal activity over one year.

Main Methods:

  • Flexible MEAs with resorbable poly(lactic-co-glycolic acid) coating were designed for insertion.
  • Arrays were implanted into the primary visual cortex of two macaque monkeys.
  • In vivo and ex vivo MRI compatibility and neural recording capabilities were assessed over 12 months.

Main Results:

  • The MEAs demonstrated excellent MRI compatibility.
  • Clear single-unit and multi-unit activity (MUA) were recorded from a high percentage of electrodes.
  • Stable MUA responses and receptive fields were maintained for up to one year post-implantation.

Conclusions:

  • Thin, flexible MEAs offer significant advantages in brain tissue compliance, scalability, and coverage compared to existing arrays.
  • These MEAs show promise for advanced brain-machine interface applications in humans.
  • The developed technology facilitates long-term, high-resolution neural monitoring in large animal models.