Nanorobot-based Direct Implantation of Flexible Neural Electrode for BCI

Teng Li, Yujie Jiang, Xiang Fu, Zhenhuan Sun, Yiheng Yan, You Fu Li, Song Liu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)

Abstract

Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI holds vast potential across diverse domains, the implantation of neural electrodes poses multifaceted challenges to fully explore the power of BCI. Conventional rigid electrodes face the problem of foreign body reaction induced by mechanical mismatch to biological tissue, while flexible electrodes, though more preferential, lack controllability during implantation. Researchers have explored various strategies, from assistive shuttle to biodegradable coatings, to strike a balance between implantation rigidity and post-implantation flexibility. Yet, these approaches may introduce complications, including immune response, inflammations, and raising intracranial pressure. To this end, this paper proposes a novel nanorobot-based technique for direct implantation of flexible neural electrodes, leveraging the high controllability and repeatability of robotics to enhance the implantation quality. This approach features a dual-arm nanorobotic system equipped with stereo microscope, by which a flexible electrode is first visually aligned to the target neural tissue to establish contact and thereafter implanted into brain with well controlled insertion direction and depth. The key innovation is, through dual-arm coordination, the flexible electrode maintains straight along the implantation direction. With this approach, we implanted CNTf electrodes into cerebral cortex of mouse, and captured standard spiking neural signals.

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Original languageEnglish
Pages (from-to)3014-3023
JournalIEEE Transactions on Biomedical Engineering
Volume71
Issue number10
Online published24 Jun 2024
DOIs
Publication statusPublished - Oct 2024

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 62303321 and in part by the Research Grants Council of Hong Kong under Grant CityU11213420 and Grant CityU11206122.

Research Keywords

  • Biomedical engineering
  • Brain-Computer Interface (BCI)
  • Coatings
  • Direct Implantation
  • Electrodes
  • Flexible Electrode Implantation
  • Microscopy
  • Nanorobot
  • Recording
  • Rigidity
  • Surface treatment

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