NeuroBus - Architecture for an Ultra-Flexible Neural Interface

Area of Science:

• Biomedical Engineering
• Neuroscience
• Materials Science

Background:

• Developing advanced neural implants is crucial for understanding brain function and treating neurological disorders.
• Existing neural interfaces often face challenges with biocompatibility, wiring complexity, and adaptability to brain curvature.

Purpose of the Study:

• To present the system architecture of NeuroBus, a novel implant concept for neural recording.
• To detail the integrated components, fabrication processes, and performance of the NeuroBus system.

Main Methods:

• Designed a bus-like architecture connecting tiny, direct-digitizing neural recorder Application-Specific Integrated Circuits (ASICs) on an ultra-flexible polyimide substrate.
• Developed and characterized the ASICs and the polyimide-based electrocorticography (ECoG) brain interface.
• Validated the system's performance using a rodent animal model.

Main Results:

• Demonstrated a low bending stiffness implant that conforms to brain curvature, enhancing structural biocompatibility.
• Achieved short connections between electrodes and recording front-ends with reduced wiring complexity and high customizability.
• Validated the joint capability of the direct-digitizing neural recorder front-end and thin-film electrode array in vivo.

Conclusions:

• The NeuroBus architecture offers a promising solution for high-density, biocompatible neural recording.
• The system's design facilitates adaptability and customizability for advanced brain-computer interfaces.
• This technology has the potential to significantly advance neural recording capabilities for research and clinical applications.