NanoDay 2020 Poster 04 – Paritosh Rustogi

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Modeling the Impact of Dielectric Width on the Recording Performance of Microelectrodes

Paritosh Rustogi

Authors: Paritosh Rustogi, Abbas Furniturewalla, Erin Patrick, Jack Judy

Faculty Mentor: Jack Judy, PhD

College: College of Engineering

Department: Electrical and Computer Engineering

Abstract

Implantable neural interfaces made of microelectrodes are commonly used to record the electrophysiological activity of nerves, spinal cord, and brain. The recording performance is expected to be a function of the size and shape of the microelectrode as well as the diameter of the neural fibers and its distance away from the microelectrodes. In addition, the width of dielectric strip used to support the microelectrodes and the metal traces connected to them could can also play a role on recording performance. In this work, we use a combination of physics-based finite-element-method (FEM) simulations and biophysics-based stimulation of neural fibers to compute the dependence on recording range as a function of the aforementioned parameters. The results of this work show that the recording performance is not that sensitive to the diameter of the electrode for a statistical sample of neural fibers found in a typical peripheral nerve. Thus the size of the microelectrodes could be reduce to minimize the volume of the implanted device.  However, miniaturizing the width of the dielectric strip was found to have a significant impact on recording performance.  Specifically, the recording volume (and thus the number of nerve fibers that could be sensed) could drop by up to a factor of 4. These results need to be taken into account when designing highly miniaturized neural interface for various applications (e.g., amputee control of prosthetic limbs, brain-machine interfaces, etc.). 

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