DocumentCode
9376
Title
Relationship between Neural Activation and Electric Field Distribution during Deep Brain Stimulation
Author
Astrom, Mattias ; Diczfalusy, Elin ; Martens, Hubert ; Wardell, Karin
Author_Institution
Dept. of Biomed. Eng., Linkoping Univ., Linkoping, Sweden
Volume
62
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
664
Lastpage
672
Abstract
Models and simulations are commonly used to study deep brain stimulation (DBS). Simulated stimulation fields are often defined and visualized by electric held isolevels or volumes of tissue activated (VTA). The aim of the present study was to evaluate the relationship between stimulation held strength as defined by the electric potential V, the electric held E, and the divergence of the electric held ∇2V, 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 held 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.
Keywords
bioelectric potentials; biological tissues; brain; finite element analysis; neurophysiology; surgery; activation field strength thresholds; computational axon models; deep brain stimulation; electric field distribution; electric field isolevels; electric potential; finite-element DBS models; model-based investigations; neural activation; simulated stimulation fields; stimulation amplitudes; stimulation field strength; tissue activated volumes; Computational modeling; Data models; Electric fields; Electric potential; Mathematical model; Nerve fibers; Satellite broadcasting; Axon cable model; axon cable model; deep brain stimulation (DBS); field visualization; finite element method (FEM); finite-element method (FEM); simulation;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2014.2363494
Filename
6935000
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