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Conversion of a medical implant into a versatile computer-brain interface.

Bálint Várkuti1, László Halász2, Saman Hagh Gooie1

  • 1CereGate GmbH, München, Germany.

Brain Stimulation
|December 25, 2023
PubMed
Summary

Researchers established a novel spinal computer-brain interface using existing spinal cord stimulation (SCS) devices. This breakthrough enables computer-to-brain communication, paving the way for new prosthetic applications and neural interfaces.

Keywords:
BCIBrain-computer interfaceCBIComputer-brain interfaceSCSSpinal cord stimulation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computer Science

Background:

  • Spinal cord stimulation (SCS) systems are established medical devices with a strong safety profile.
  • Current SCS technology is minimally invasive and stimulates neural pathways but isn't used for brain-computer interfaces.
  • Information transmission to the nervous system is key for prosthetic applications.

Purpose of the Study:

  • To establish computer-to-brain communication using medical spinal cord stimulation (SCS) implants.
  • To demonstrate the feasibility of using SCS for general-purpose brain-computer interfacing.
  • To assess the efficacy and training requirements of such an interface.

Main Methods:

  • Calibrated personalized SCS settings to elicit distinct sensations in 20 chronic pain patients.
  • Utilized calibrated settings to generate inputs for behavioral tasks.
  • Evaluated calibration time, task training duration, and performance.

Main Results:

  • A stable spinal computer-brain interface was achieved in 18 out of 20 participants.
  • Participants successfully performed rhythm discrimination, Morse decoding, and balance tasks.
  • Median calibration time was 79 minutes, and median task training was 1 hour 40 minutes.

Conclusions:

  • This study presents the first proof-of-concept for a general-purpose computer-brain interface.
  • The interface is deployable on current medical SCS platforms.
  • This opens new avenues for utilizing SCS in neural interfacing and prosthetic applications.