Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Electric Field Comparison between Microelectrode Recording and Deep Brain Stimulation Systems: A Simulation Study
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6896-1452
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. University of Applied Sciences and Arts Northwestern Switzerland FHNW, 4132 Muttenz, Switzerland.
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0012-7867
Show others and affiliations
2018 (English)In: Brain Sciences, ISSN 2076-3425, E-ISSN 2076-3425, Vol. 8, no 2Article in journal (Refereed) Published
Abstract [en]

The success of deep brain stimulation (DBS) relies primarily on the localization of the implanted electrode. Its final position can be chosen based on the results of intraoperative microelectrode recording (MER) and stimulation tests. The optimal position often differs from the final one selected for chronic stimulation with the DBS electrode. The aim of the study was to investigate, using finite element method (FEM) modeling and simulations, whether lead design, electrical setup, and operating modes induce differences in electric field (EF) distribution and in consequence, the clinical outcome. Finite element models of a MER system and a chronic DBS lead were developed. Simulations of the EF were performed for homogenous and patient-specific brain models to evaluate the influence of grounding (guide tube vs. stimulator case), parallel MER leads, and non-active DBS contacts. Results showed that the EF is deformed depending on the distance between the guide tube and stimulating contact. Several parallel MER leads and the presence of the non-active DBS contacts influence the EF distribution. The DBS EF volume can cover the intraoperatively produced EF, but can also extend to other anatomical areas. In conclusion, EF deformations between stimulation tests and DBS should be taken into consideration as they can alter the clinical outcome

Place, publisher, year, edition, pages
MDPI , 2018. Vol. 8, no 2
Keywords [en]
microelectrode recording (MER); finite element method (FEM); deep brain stimulation (DBS); brain model; Dice coefficient; patient-specific
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-145112DOI: 10.3390/brainsci8020028OAI: oai:DiVA.org:liu-145112DiVA, id: diva2:1182170
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-09-10
In thesis
1. Models and Simulations of the Electric Field in Deep Brain Stimulation: Comparison of Lead Designs, Operating Modes and Tissue Conductivity
Open this publication in new window or tab >>Models and Simulations of the Electric Field in Deep Brain Stimulation: Comparison of Lead Designs, Operating Modes and Tissue Conductivity
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Deep brain stimulation (DBS) is an established surgical therapy for movement disorders such as Parkinson’s disease (PD) and essential tremor (ET). A thin electrode is implanted in a predefined area of the brain with the use of stereotactic neurosurgery. In the last few years new DBS electrodes and systems have been developed with possibilities for using more parameters for control of the stimulation volume.

In this thesis, simulations using the finite element method (FEM) have been developed and used for investigation of the electric field (EF) extension around different types of DBS lead designs (symmetric, steering) and stimulation modes (voltage, current). The electrode surrounding was represented either with a homogeneous model or a patient-specific model based on individual preoperative magnetic resonance imaging (MRI). The EF was visualized and compared for different lead designs and operating modes.

In Paper I, the EF was quantitatively investigated around two lead designs (3389 and 6148) simulated to operate in voltage and current mode under acute and chronic time points following implantation.Simulations showed a major impact on the EF extension between postoperative time points which may explain the clinical decisions to change the stimulation amplitude weeks after implantation. In Paper II, the simulations were expanded to include two leads having steering function (6180, Surestim1) and patient-specific FEM simulations in the zona incerta. It was found that both the heterogeneity of the tissue and the operating mode, influence the EF distribution and that equivalent contact configurations of the leads result in similar EF. The steering mode presented larger volumes in current mode when using equivalent amplitudes. Simulations comparing DBS and intraoperative stimulation test using a microelectrode recording (MER) system (Paper III), showed that several parallel MER leads and the presence of the non-active DBS contacts influence the EF distribution and that the DBS EF volume can cover, but also extend to, other anatomical areas.

Paper IV introduces a method for an objective exploitation of intraoperative stimulation test data in order to identify the optimal implant position in the thalamus of the chronic DBS lead. Patient-specific EF simulations were related to the anatomy with the help of brain atlases and the clinical effects which were quantified by accelerometers. The first results indicate that the good clinical effect in ET is due to several structures around the ventral intermediate nucleus of the thalamus.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 99
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1945
National Category
Other Medical Engineering
Identifiers
urn:nbn:se:liu:diva-150996 (URN)10.3384/diss.diva-150996 (DOI)9789176852613 (ISBN)
Public defence
2018-09-14, Grannitsalen, Campus US, Linköping, 09:00 (English)
Opponent
Supervisors
Available from: 2018-09-10 Created: 2018-09-10 Last updated: 2018-09-10Bibliographically approved

Open Access in DiVA

fulltext(3156 kB)124 downloads
File information
File name FULLTEXT01.pdfFile size 3156 kBChecksum SHA-512
92a617f74421e5b65e79cc995fdc0079ad1e5ff6b511a481d085623275dd24508226550cd4111844dbec3e0f902310a8c5bc6cc6bd1a752e68486a09c9e9df91
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Alonso, FabiolaVogel, DorianJohansson, JohannesWårdell, KarinHemm, Simone
By organisation
Department of Biomedical EngineeringFaculty of Science & Engineering
In the same journal
Brain Sciences
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 124 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 218 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf