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A MEMS-based flexible multichannel ECoG-electrode array.

Birthe Rubehn1, Conrado Bosman, Robert Oostenveld

  • 1Department of Microsystems Engineering-IMTEK, University of Freiburg, Freiburg, Germany. Birthe.Rubehn@imtek.uni-freiburg.de

Journal of Neural Engineering
|May 14, 2009
PubMed
Summary
This summary is machine-generated.

We developed a 252-channel electrocorticogram (ECoG) array for chronic implantation in macaque monkeys. This high-yield device enables long-term neural recordings, even during free movement, with stable signal quality.

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Materials Science

Background:

  • Electrocorticography (ECoG) is crucial for understanding brain activity.
  • Existing ECoG arrays face limitations in chronic implantation and animal mobility.
  • Developing high-density, implantable electrode arrays is essential for advanced neural research.

Purpose of the Study:

  • To present a novel micromachined 252-channel ECoG electrode array.
  • To evaluate its suitability for chronic implantation and long-term neural recordings in non-human primates.
  • To assess the device's performance and signal stability over time.

Main Methods:

  • Fabrication of a thin polyimide foil-based ECoG array with sputtered platinum electrodes.
  • Characterization of electrode impedance using electrochemical impedance spectroscopy.
  • Chronic implantation in macaque monkeys for long-term recording and assessment of signal quality.

Main Results:

  • The 35 mm x 60 mm array covers large cortical areas.
  • Electrode impedance at 1 kHz ranges from 1.5 kOmega to 5 kOmega.
  • Achieved a 99.5% electrode yield and demonstrated stable ECoG signal acquisition for 4.5 months post-implantation.
  • Successfully recorded responses to visual stimuli.

Conclusions:

  • The micromachined ECoG array is suitable for chronic implantation and long-term neural recordings in non-human primates.
  • The device allows for animal mobility and maintains high signal quality over extended periods.
  • This technology advances the potential for detailed brain activity studies.