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Relationship between Neural Activation and Electric Field Distribution during Deep Brain Stimulation
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology. Sapiens Steering Brain Stimulation BV, NL-5656 Eindhoven, Netherlands. (MINT)
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
Sapiens Steering Brain Stimulation B.V., Eindhoven, The Netherlands.
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology. (MINT)ORCID iD: 0000-0002-0012-7867
2015 (English)In: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 62, no 2, 664-72 p.Article in journal (Refereed) Published
Abstract [en]

Models and simulations are commonly used to study deep brain stimulation (DBS). Simulated stimulation fields are often defined and visualized by electric field isolevels or volumes of tissue activated (VTA). The aim of the present study was to evaluate the relationship between stimulation field strength as defined by the electric potential V, the electric field E, and the divergence of the electric field ∇(2) V, and neural activation. Axon cable models were developed and coupled to finite-element DBS models in three-dimensional (3-D). Field thresholds ( VT , ET, and ∇(2) VT ) were derived at the location of activation for various stimulation amplitudes (1 to 5 V), pulse widths (30 to 120 μs), and axon diameters (2.0 to 7.5 μm). Results showed that thresholds for VT and ∇(2) VT were highly dependent on the stimulation amplitude while ET were approximately independent of the amplitude for large axons. The activation field strength thresholds presented in this study may be used in future studies to approximate the VTA during model-based investigations of DBS without the need of computational axon models.

Place, publisher, year, edition, pages
IEEE , 2015. Vol. 62, no 2, 664-72 p.
National Category
Medical Bioscience Medical Biotechnology
Identifiers
URN: urn:nbn:se:liu:diva-113588DOI: 10.1109/TBME.2014.2363494ISI: 000348297000029PubMedID: 25350910OAI: oai:DiVA.org:liu-113588DiVA: diva2:783064
Note

This work was supported by the European Union's Seventh Framework Programme IMPACT (Grant 305814) and by the Swedish Research Council (Grant 621-2013-6078). Asterisk indicates corresponding author.

Available from: 2015-01-23 Created: 2015-01-23 Last updated: 2017-12-05Bibliographically approved

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Åström, MattiasDiczfalusy, ElinWårdell, Karin

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