Literature DB >> 30144687

Tissue-susceptibility matched carbon nanotube electrodes for magnetic resonance imaging.

Guohai Chen1, Berg Dodson2, Francis Johnson3, Ileana Hancu3, Eric Fiveland3, Wanming Zhang3, Craig Galligan3, Christopher Puleo3, Robert C Davis2, Jeffrey Ashe3, Richard R Vanfleet4.   

Abstract

Test disk electrodes were fabricated from carbon nanotubes (CNT) using the Carbon Nanotube Templated Microfabrication (CNT-M) technique. The CNT-M process uses patterned growth of carbon nanotube forests from surfaces to form complex patterns, enabling electrode sizing and shaping. The additional carbon infiltration process stabilizes these structures for further processing and handling. At a macroscopic scale, the electrochemical, electrical and magnetic properties, and magnetic resonance imaging (MRI) characteristics of the disk electrodes were investigated; their microstructure was also assessed. CNT disk electrodes showed electrical resistivity around 1 Ω·cm, charge storage capacity between 3.4 and 38.4 mC/cm2, low electrochemical impedance and magnetic susceptibility of -5.9 to -8.1 ppm, closely matched to that of tissue (∼-9 ppm). Phantom MR imaging experiments showed almost no distortion caused by these electrodes compared with Cu and Pt-Ir reference electrodes, indicating the potential for significant improvement in accurate tip visualization.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Carbon infiltration; Carbon nanotube; Contact; Deep brain stimulation; Electrical resistivity; Electrode; Impedance; Magnetic resonance imaging; Susceptibility

Year:  2018        PMID: 30144687     DOI: 10.1016/j.jmr.2018.08.003

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  3 in total

Review 1.  Emerging approaches for sensing and modulating neural activity enabled by nanocarbons and carbides.

Authors:  Nicolette Driscoll; Royce Dong; Flavia Vitale
Journal:  Curr Opin Biotechnol       Date:  2021-10-29       Impact factor: 9.740

2.  Curvature-induced defects on carbon-infiltrated carbon nanotube forests.

Authors:  Stephanie R Morco; Brian D Jensen; Anton E Bowden
Journal:  RSC Adv       Date:  2022-01-12       Impact factor: 3.361

Review 3.  Gels, jets, mosquitoes, and magnets: a review of implantation strategies for soft neural probes.

Authors:  Nicholas V Apollo; Brendan Murphy; Kayla Prezelski; Nicolette Driscoll; Andrew G Richardson; Timothy H Lucas; Flavia Vitale
Journal:  J Neural Eng       Date:  2020-09-11       Impact factor: 5.379

  3 in total

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