Biomechanics Characterization of Autonomic and Somatic Nerves by High Dynamic Closed-Loop MEMS force sensing

Area of Science:

• Biomedical Engineering
• Neuroscience
• Materials Science

Background:

• Peripheral nerve biomechanics are vital for neuroprosthetic function but often overlooked in device design.
• Implantation of penetrating devices causes mechanical distress, compromising nerve function and neuroprosthesis efficacy.
• Accurate measurement and standardization of insertion forces are critical for safe and effective nerve interface implantation.

Approach:

• Developed and utilized a high-precision bi-directional micro-electromechanical force sensor (MEMS-CLFS) for in-vivo biomechanical measurements.
• Investigated the mechanical implications of the blood-nerve barrier (BNB), including collagen VI and vasculature, in somatic and autonomic nerves.
• Created a mathematical model to predict insertion forces based on nerve biomechanical properties.

Key Points:

• The MEMS-CLFS offers high-precision bidirectional force measurement (-211.7μN to 211.5μN) with a wide dynamic range (92.9 dB) for in-vivo applications.
• Significant differences in collagen VI density and vasculature (CD31+) exist between the vasa nervorum (VN) and sciatic nerve (ScN).
• Insertion forces must be customized to individual nerves to prevent injury during the implantation of neural interfaces.

Conclusions:

• This study presents a novel MEMS technology and mathematical model for precise measurement of nerve biomechanics and insertion forces.
• The findings underscore the necessity of nerve-specific force calibration for safe and successful implantation of neural interfaces.
• This technology and model pave the way for improved neuroprosthetic design and surgical procedures, enhancing sensory-motor restoration in amputees.