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A silicon-based, three-dimensional neural interface: manufacturing processes for an intracortical electrode array.

P K Campbell1, K E Jones, R J Huber

  • 1Department of Bioengineering, University of Utah, Salt Lake City 84112.

IEEE Transactions on Bio-Medical Engineering
|August 1, 1991
PubMed
Summary
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Researchers developed a novel 3D silicon electrode array for chronic intracortical stimulation. This advanced neural interface features 100 sharpened, platinum-coated needles for precise brain tissue interaction.

Area of Science:

  • Neuroscience
  • Materials Science
  • Electrical Engineering

Background:

  • Chronic intracortical stimulation requires advanced neural interfaces.
  • Existing electrode arrays face limitations in chronic implantation and tissue interaction.

Purpose of the Study:

  • To develop a novel three-dimensional (3D) electrode array geometry for chronic intracortical stimulation.
  • To create a silicon-based neural interface with enhanced properties for cortical tissue interaction.

Main Methods:

  • Manufacturing of a silicon-based array with 100 conductive, sharpened needles (0.09 mm thick, 1.5 mm long).
  • Utilizing thermomigration of aluminum pads to create isolated p+ silicon trails.
  • Employing mechanical and chemical micromachining for needle fabrication.

Related Experiment Videos

  • Platinum coating on needle tips for improved charge transfer and array encapsulation with polyimide.

    • Main Results:

    • Fabrication of a 4.2 x 4.2 x 0.12 mm monocrystalline silicon substrate.
    • Each needle is electrically isolated, facilitating targeted neural interfacing.
    • Platinum coating enhances charge transfer capabilities for neural stimulation.
    • The array's properties are optimized for chronic cortical implantation and function.

    Conclusions:

    • The developed 3D electrode array offers a promising solution for chronic intracortical stimulation.
    • Its unique geometry and material properties make it suitable for long-term neural interfacing.
    • This technology has the potential to advance brain-computer interfaces and therapeutic neurostimulation.