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A Hyperflexible Electrode Array for Long-Term Recording and Decoding of Intraspinal Neuronal Activity.

Jie Fan1, Xiaocheng Li1, Peiyu Wang1

  • 1Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, P. R. China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 23, 2023
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Summary

A new flexible spinal cord (SC) electrode array offers stable, long-term recording of neural activity. This biocompatible interface shows promise for understanding and treating motor dysfunctions.

Keywords:
hyperflexible electrodeintraspinal recordingneural decodingneural interfaceneural trajectory

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Implantable Devices

Background:

  • Neural interfaces are crucial for treating motor dysfunctions by accessing spinal cord (SC) electrical activity.
  • Current high-density electrodes face challenges in achieving high channel counts and long-term intraspinal recording due to mechanical mismatch and tissue response.

Purpose of the Study:

  • To develop and evaluate a biocompatible, hyperflexible SC electrode array (SHEA) for stable, long-term intraspinal recording.
  • To assess the SHEA's performance in terms of signal quality, biocompatibility, and its ability to decode motor activity.

Main Methods:

  • Implantation of an ultrathin, biocompatible SC hyperflexible electrode array (SHEA) into mouse SC.
  • Evaluation of electrode impedance, signal-to-noise ratio, single-unit yield, and spike amplitude over 2 months.
  • Gait analysis and histological examination to assess tissue response and behavioral effects.
  • Decoding of mouse movement trajectory using recorded multi-unit signals from the SC ventral horn.

Main Results:

  • SHEA demonstrated stable recording performance (impedance, SNR, yield, amplitude) for over 2 months.
  • Implantation resulted in negligible behavioral effects and inflammation, indicating good biocompatibility.
  • Recorded SC neural signals accurately predicted mouse movement trajectory (decoding coefficient up to 0.95).
  • Neural trajectories of spikes and LFPs exhibited periodic patterns during locomotion.

Conclusions:

  • The SHEA is a promising neural interface for stable, long-term intraspinal recording.
  • It minimizes mechanical mismatch, ensuring high signal quality and biocompatibility.
  • SHEA facilitates reliable decoding of motor activity, offering potential for therapeutic interventions in motor dysfunctions.