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  5. Estimation of dispersive properties of encapsulation tissue surrounding deep brain stimulation electrodes in the rat
 
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Estimation of dispersive properties of encapsulation tissue surrounding deep brain stimulation electrodes in the rat

Author(s)
Sridhar, Karthik  
Evers, Judith  
Botelho, Diego Pereira  
Lowery, Madeleine M.  
Uri
http://hdl.handle.net/10197/11281
Date Issued
2019-07-27
Date Available
2020-02-13T12:36:51Z
Abstract
The aim of this study was to estimate the electrical properties of the encapsulation tissue surrounding chronically implanted electrodes for deep brain stimulation in the rat. The impedance spectrum of a concentric bipolar microelectrode implanted in the rat brain was measured immediately following surgery and after 8 weeks of implantation. The experimental impedance data were used in combination with a finite element model of the rat brain using a parametric sweep method to estimate the electrical properties of the tissue surrounding the electrode in acute and chronic conditions. In the acute case, the conductivity and relative permittivity of the peri-electrode space were frequency independent with an estimated conductivity of 0.38 S/m and relative permittivity of 123. The electrical properties of the encapsulation tissue in the chronic condition were fitted to a dispersive Cole-Cole model. The estimated conductivity and relative permittivity in the chronic condition at 1 kHz were 0.028 S/m and 2×10 5 , respectively. The estimated tissue properties can be used in combination with computational modeling as a basis for optimization of chronically implanted electrodes to increase the efficacy of long-term neural recording and stimulation.
Sponsorship
European Commission - European Regional Development Fund
European Research Council
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 IEEE
Subjects

Neurosciences

Bioengineering

Personal sensing

Electrodes

Impedance

Encapsulation

Brain modeling

Conductivity

Mathematical model

Rats

DOI
10.1109/embc.2019.8857062
Web versions
https://embc.embs.org/2019/
Language
English
Status of Item
Peer reviewed
Conference Details
The 41st International Engineering in Medicine and Biology Conference (EMBC 2019), Berlin, Germany, 23-27 July 2019
ISBN
978-1-5386-1311-5
ISSN
1558-4615
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Sridhar et al _IEEE_preprint.pdf

Size

309.74 KB

Format

Adobe PDF

Checksum (MD5)

480cb198b30d06c66cffe1f934bdef47

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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