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Related Experiment Video

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Long-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis.

Samuel C Colachis1,2, Collin F Dunlap1,3,4,2, Nicholas V Annetta1

  • 1Medical Devices and Neuromodulation, Battelle Memorial Institute, Columbus, OH 43201, United States of America.

Journal of Neural Engineering
|August 5, 2021
PubMed
Summary

Long-term brain-computer interface (BCI) use in humans shows declining signal quality but sustained high performance over five years. This study highlights critical signal disruptions for future assistive device development.

Keywords:
brain–computer interfacechronic signal performancemicroelectrode arrayneural decodingneuromodulationsignal disruptionspinal cord injury

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Brain-computer interfaces (BCIs) using intracortical microelectrode arrays (MEAs) offer potential for neurological disability mitigation.
  • Limited data exists on the long-term performance and failure modes of MEAs in human subjects.

Purpose of the Study:

  • To evaluate the long-term signal quality and brain-computer interface (BCI) performance of a Utah MEA in a human subject over five years.
  • To identify and analyze acute signal disruption events during chronic MEA use.

Main Methods:

  • Analysis of neural signal metrics and decoding accuracy across 448 clinical recording sessions spanning five years.
  • Identification and root cause analysis of acute signal disruption events.
  • Evaluation of BCI performance trends over the study duration.

Main Results:

  • Neural signal quality metrics showed rapid initial deterioration followed by a slower decline.
  • BCI performance remained high even after five years of implantation.
  • Several unanticipated acute signal disruption events were observed and analyzed.

Conclusions:

  • Long-term MEA performance in humans demonstrates sustained BCI efficacy despite signal quality decline, supporting its translational potential.
  • Understanding and mitigating acute signal disruptions is crucial for the progression of BCI technology for home use.
  • This study provides valuable longevity and efficacy data for implantable neural sensors in humans.