title: A diffusion tensor-based finite element model of microdialysis in the deep brain.
abstract: Microdialysis of the basal ganglia was recently used to study neurotransmitter levels in relation to deep brain stimulation. In order to estimate the anatomical origin of the obtained data, the maximum tissue volume of influence (TVImax) for a microdialysis catheter was simulated using the finite element method. This study investigates the impact of brain heterogeneity and anisotropy on the TVImax using diffusion tensor imaging (DTI) to create a second-order tensor model of the basal ganglia. Descriptive statistics showed that the maximum migration distance for neurotransmitters varied by up to 55% (n = 98,444) for DTI-based simulations compared with an isotropic reference model, and the anisotropy differed between different targets in accordance with theory. The size of the TVImax was relevant in relation to the size of the anatomical structures of interest, and local tissue properties should be accounted for when relating microdialysis data to their anatomical targets.
authors.affiliation: a Department of Biomedical Engineering , Linköping University , Linköping SE-581 85 , Sweden.
authors.forename: Elin
authors.initials: E
authors.lastname: Diczfalusy
authors.forename: Mats
authors.initials: M
authors.lastname: Andersson
authors.forename: Karin
authors.initials: K
authors.lastname: Wårdell
mesh_terms: D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D046690:Deep Brain Stimulation; D056324:Diffusion Tensor Imaging; D020342:Finite Element Analysis; D006801:Humans; D017551:Microdialysis; D008959:Models, Neurological
keywords: basal ganglia; diffusion tensor imaging; finite element method; microdialysis; simulations