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Abstract #4384

Computational EM Simulation of Microscopic Graphene-Based Electrophysiology Probe at 7T MRI: Acceleration Using a Huygens' Box-Based Approach

Suchit Kumar1, Samuel M. Flaherty2, Alejandro Labastida-Ramírez2, Anton Guimerà Brunet3, Ben Dickie4, Rob C. Wykes1,2, Kostas Kostarelos2, and Louis Lemieux1
1Department of Clinical and Experimental Epilepsy, University College London, London, United Kingdom, 2Centre for Nanotechnology in Medicine & Division Neuroscience, University of Manchester, Manchester, United Kingdom, 3Institut de Microelectrònica de Barcelona (IMB-CNM, CSIC), Barcelona, Spain, 4Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom

Synopsis

Keywords: In Silico, In Silico, Computational Electromagnetic Simulation, Huygen's Box, EEG-fMRI, Graphene-based Electrophysiology Probes, MR Compatibility and Safety

Motivation: Concurrent electrophysiological-fMRI acquisitions have provided important new neuroscientific data, although conventional EEG probes can pose significant data quality and RF heating-related challenges, especially at high fields.

Goal(s): To investigate the compatibility and safety in the MRI environment of novel graphene-based microscopic electrophysiological probes with unsurpassed recording capability.

Approach: Computational electromagnetic (EM) simulations were conducted using a Huygens' Box (HB) method to increase the efficiency and enhance the spatial resolution of multi-port methods.

Results: The HB method achieved a spatial resolution of 0.0001mm (through-plane) and 0.01mm (in-plane) within practical simulation times, demonstrating acceptable SAR increase in the vicinity of the probe.

Impact: This study provides evidence on the superior MR suitability of graphene-based probes compared to the current technology for concurrent EEG-fMRI acquisitions, offering the prospect of unprecedented characterization of brain activity which could lead to better diagnostic and therapeutic strategies.

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Keywords