Electrode fabrication and interface optimization for imaging of evoked peripheral nervous system activity with electrical impedance tomography (EIT)
Author(s)
Chapman, Christopher AR
Aristovich, Kirill
Donega, Matteo
Fjordbakk, Cathrine T
Stathopoulou, Thaleia-Rengina
Type
Journal Article
Abstract
Objective. Non-invasive imaging techniques are undoubtedly the ideal methods for continuous monitoring of neural activity. One such method, fast neural electrical impedance tomography (EIT) has been developed over the past decade in order to image neural action potentials with non-penetrating electrode arrays. Approach. The goal of this study is two-fold. First, we present a detailed fabrication method for silicone-based multiple electrode arrays which can be used for epicortical or neural cuff applications. Secondly, we optimize electrode material coatings in order to achieve the best accuracy in EIT reconstructions. Main results. The testing of nanostructured electrode interface materials consisting of platinum, iridium oxide, and PEDOT:pTS in saline tank experiments demonstrated that the PEDOT:pTS coating used in this study leads to more accurate reconstruction dimensions along with reduced phase separation between recording channels. The PEDOT:pTS electrodes were then used in vivo to successfully image and localize the evoked activity of the recurrent laryngeal fascicle from within the cervical vagus nerve. Significance. These results alongside the simple fabrication method presented here position EIT as an effective method to image neural activity.
Date Issued
2019-02-01
Date Acceptance
2018-10-15
Citation
Journal of Neural Engineering, 2019, 16 (1)
ISSN
1741-2552
Publisher
IOP Publishing
Journal / Book Title
Journal of Neural Engineering
Volume
16
Issue
1
Copyright Statement
© 2018 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450311900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences
Engineering
Neurosciences & Neurology
electrical impedance tomography
neural recording
peripheral nerve cuff
electrode characterization
laser-based fabrication
NEURAL STIMULATION
FIBERS
BRAIN
Publication Status
Published
Article Number
ARTN 016001
Date Publish Online
2018-11-16