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Slippery Epidural ECoG Electrode for High-Performance Neural Recording and Interface.

Md Eshrat E Alahi1, Yonghong Liu1, Sara Khademi1,2

  • 1The Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

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|November 24, 2022
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Summary
This summary is machine-generated.

A novel slippery liquid-infused porous surface (SLIPS) coating for epidural electrocorticography (ECoG) electrodes reduces noise and improves biocompatibility for chronic neural monitoring in neurodegenerative diseases.

Keywords:
ECoG electrodePt-graynanoconeneural interfaceslippery coatingsurface modification

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Neuroscience

Background:

  • Chronic implantation of epidural electrocorticography (ECoG) electrodes causes dural thickening and fibrosis, compromising long-term neural recording.
  • This tissue response is a major challenge for monitoring neurodegenerative diseases using ECoG.

Purpose of the Study:

  • To develop a Slippery Liquid-Infused Porous Surface (SLIPS) coating for flexible ECoG electrodes.
  • To enhance chronic neural interface performance by reducing tissue реакции and improving signal quality.

Main Methods:

  • Fabrication of ECoG electrodes on a polyimide substrate with a platinum-gray porous nanocone structure.
  • Infusion of silicone oil into the porous structure to create the SLIPS coating.
  • Electrochemical impedance spectroscopy, equivalent circuit modeling, cytotoxicity testing, and acute in vivo neural recording in a rat model.

Main Results:

  • The SLIPS coating exhibited a low impedance of 4.68 kΩ, suitable for neural recording.
  • Cytotoxicity studies confirmed the biocompatibility of the coating for human implantation.
  • In vivo recordings demonstrated a significant reduction in noise (nearly 50%), enhancing signal clarity.

Conclusions:

  • The developed SLIPS coating is biocompatible and effectively reduces noise in neural recordings.
  • This technology offers a promising solution for improving the longevity and efficacy of chronic ECoG interfaces for neurodegenerative disease monitoring.