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Regeneration microelectrode array for peripheral nerve recording and stimulation.

G T Kovacs1, C W Storment, J M Rosen

  • 1Department of Electrical Engineering, Center for Integrated Systems, Stanford University, CA 94305.

IEEE Transactions on Bio-Medical Engineering
|September 1, 1992
PubMed
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A novel microelectrode array for peripheral nerve recording and stimulation has been developed. This implantable device, tested in rats, maintained function for over a year, offering long-term neural interfacing.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Materials Science

Background:

  • Peripheral nerve injury presents challenges for restoring function.
  • Stable, long-term neural interfaces are crucial for advanced prosthetics and neuroprosthetic applications.
  • Existing technologies often lack the longevity and biocompatibility required for chronic implantation.

Purpose of the Study:

  • To demonstrate a microelectrode array for prolonged peripheral nerve recording and stimulation.
  • To develop fabrication processes compatible with standard microelectronic manufacturing.
  • To assess the long-term performance of the implanted device in a preclinical model.

Main Methods:

  • Fabrication of a silicon-based microelectrode array with micromachined via holes.

Related Experiment Videos

  • Development of thin-film iridium microelectrodes and silicon nitride passivation layers.
  • Surgical implantation of the array into the peroneal nerves of rats for chronic recording and stimulation.
  • Main Results:

    • Successful implantation and stable fixation of the microelectrode array via nerve regeneration.
    • Demonstrated capability for both recording neural signals and stimulating the nerve.
    • Sustained device functionality for up to 13 months postoperatively in the animal model.

    Conclusions:

    • The developed microelectrode array offers a promising solution for long-term peripheral nerve interfacing.
    • The fabrication methods are compatible with established microelectronic processes, enabling future integration of signal processing.
    • This technology holds potential for advancing neuroprosthetics and neural repair strategies.