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

Files in This Item:
File Description SizeFormat 
Sridhar et al _IEEE_preprint.pdf309.74 kBAdobe PDFDownload
Title: Estimation of dispersive properties of encapsulation tissue surrounding deep brain stimulation electrodes in the rat
Authors: Sridhar, KarthikEvers, JudithBotelho, Diego PereiraLowery, Madeleine M.
Permanent link: http://hdl.handle.net/10197/11281
Date: 27-Jul-2019
Online since: 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.
Funding Details: European Commission - European Regional Development Fund
European Research Council
Science Foundation Ireland
metadata.dc.description.othersponsorship: Insight Research Centre
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 IEEE
Keywords: NeurosciencesBioengineeringPersonal sensingElectrodesImpedanceEncapsulationBrain modelingConductivityMathematical modelRats
DOI: 10.1109/embc.2019.8857062
Other versions: https://embc.embs.org/2019/
Language: en
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
Appears in Collections:Electrical and Electronic Engineering Research Collection
Insight Research Collection

Show full item record

Page view(s)

104
checked on Feb 28, 2020

Download(s)

8
checked on Feb 28, 2020

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.