Influence of heterogeneous and anisotropic tissue conductivity on electric field distribution in deep brain stimulation
2012 (English)In: Medical and Biological Engineering and Computing, ISSN 0140-0118, E-ISSN 1741-0444, Vol. 50, no 1, 23-32 p.Article in journal (Refereed) Published
The aim was to quantify the influence of heterogeneous isotropic and heterogeneous anisotropic tissue on the spatial distribution of the electric field during deep brain stimulation (DBS). Three finite element tissue models were created of one patient treated with DBS. Tissue conductivity was modelled as I) homogeneous isotropic, II) heterogeneous isotropic based on MRI, and III) heterogeneous anisotropic based on diffusion tensor MRI. Modelled DBS electrodes were positioned in the subthalamic area, the pallidum, and the internal capsule in each tissue model. Electric fields generated during DBS were simulated for each model and target-combination and visualized in 3D with isolevels at 0.20 (inner), and 0.05 V m-1 (outer). F-test and vector analysis was used for statistical evaluation of the distribution of the electric field. Heterogeneous isotropic tissue altered the spatial distribution of the electric field by up to 4% at inner, and up to 10% at outer isolevel. Heterogeneous anisotropic tissue had a larger impact on the distribution of the electric field with an influence of up to 18% and 15% at each isolevel, respectively. The influence of heterogeneous and anisotropic tissue on the electric field may be clinically relevant in anatomic regions that are functionally subdivided and surrounded by multiple fibres of passage.
Place, publisher, year, edition, pages
Springer, 2012. Vol. 50, no 1, 23-32 p.
Deep brain stimulation, Diffusion tensor, Finite element, Model, Simulation, Patient-specific
National CategoryMedical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-70087DOI: 10.1007/s11517-011-0842-zISI: 000298648400003OAI: oai:DiVA.org:liu-70087DiVA: diva2:435386
funding agencies|Swedish Foundation for Strategic Research (SSF)||Swedish Research Council (VR)|
|Swedish Governmental Agency for Innovation Systems (VINNOVA)|