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A movable long-term implantable soft microfibre for dynamic bioelectronics.

Ruijie Xie1,2, Fei Han3, Qianhengyuan Yu1

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Summary
This summary is machine-generated.

Researchers developed NeuroWorm, a flexible, movable fiber sensor for long-term bioelectronic monitoring. This innovative device enables precise, in-situ neural signal recording and minimally invasive implantation for advanced human-machine interfaces.

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Area of Science:

  • Bioelectronics
  • Neuroscience
  • Biomaterials

Background:

  • Long-term implantable bioelectronics are crucial for nervous system evaluation and human-machine interfaces.
  • Current bioelectronic probes are often immobile and can cause significant tissue response.

Purpose of the Study:

  • To introduce NeuroWorm, a novel soft, stretchable, and movable fiber sensor for advanced bioelectronic interfaces.
  • To demonstrate the capability of NeuroWorm for high-quality, long-term, and minimally invasive bioelectrical and biomechanical monitoring.

Main Methods:

  • Developed a 1D NeuroWorm fiber sensor by rolling 2D bioelectronic devices.
  • Incorporated longitudinally distributed electrode arrays for multimodal sensing.
  • Evaluated in-situ signal recording and steerable advancement in biological tissues.
  • Assessed long-term stability and biocompatibility in rat muscle implantation models.

Main Results:

  • NeuroWorm successfully recorded high-quality spatio-temporal bioelectrical signals in situ.
  • The device demonstrated steerable advancement within the brain and on muscle tissue.
  • Stable bioelectrical monitoring was achieved in rats for over 43 weeks.
  • Negligible fibroblast encapsulation was observed even after 54 weeks of implantation.

Conclusions:

  • NeuroWorm represents a significant advancement in bioelectronics, transitioning from immobile probes to active, intelligent devices.
  • This technology enables long-term, minimally invasive, and mobile evaluation of the nervous system.
  • The platform holds promise for future applications in neural monitoring and human-machine interfaces.