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White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation

OBJECTIVE: Deep brain stimulation (DBS) in zona incerta (Zi) is used for symptom alleviation in essential tremor (ET). Zi is positioned along the dentato-rubro-thalamic tract (DRT). Electric field simulations with the finite element method (FEM) can be used for estimation of a volume where the stimu...

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Autores principales: Nordin, Teresa, Zsigmond, Peter, Pujol, Sonia, Westin, Carl-Fredrik, Wårdell, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880013/
https://www.ncbi.nlm.nih.gov/pubmed/31795055
http://dx.doi.org/10.1016/j.nicl.2019.102026
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author Nordin, Teresa
Zsigmond, Peter
Pujol, Sonia
Westin, Carl-Fredrik
Wårdell, Karin
author_facet Nordin, Teresa
Zsigmond, Peter
Pujol, Sonia
Westin, Carl-Fredrik
Wårdell, Karin
author_sort Nordin, Teresa
collection PubMed
description OBJECTIVE: Deep brain stimulation (DBS) in zona incerta (Zi) is used for symptom alleviation in essential tremor (ET). Zi is positioned along the dentato-rubro-thalamic tract (DRT). Electric field simulations with the finite element method (FEM) can be used for estimation of a volume where the stimulation affects the tissue by applying a fixed isolevel (V(DBS)). This work aims to develop a workflow for combined patient-specific electric field simulation and white matter tracing of the DRT, and to investigate the influence on the V(DBS) from different brain tissue models, lead design and stimulation modes. The novelty of this work lies in the combination of all these components. METHOD: Patients with ET were implanted in Zi (lead 3389, n = 3, voltage mode; directional lead 6172, n = 1, current mode). Probabilistic reconstruction from diffusion MRI (dMRI) of the DRT (n = 8) was computed with FSL Toolbox. Brain tissue models were created for each patient (two homogenous, one heterogenous isotropic, one heterogenous anisotropic) and the respective V(DBS) (n = 48) calculated from the Comsol Multiphysics FEM simulations. The DRT and V(DBS) were visualized with 3DSlicer and superimposed on the preoperative T2 MRI, and the common volumes calculated. Dice Coefficient (DC) and level of anisotropy were used to evaluate and compare the brain models. RESULT: Combined patient-specific tractography and electric field simulation was designed and evaluated, and all patients showed benefit from DBS. All V(DBS) overlapped the reconstructed DRT. Current stimulation showed prominent difference between the tissue models, where the homogenous grey matter deviated most (67 < DC < 69). Result from heterogenous isotropic and anisotropic models were similar (DC > 0.95), however the anisotropic model consistently generated larger volumes related to a greater extension of the electric field along the DBS lead. Independent of tissue model, the steering effect of the directional lead was evident and consistent. CONCLUSION: A workflow for patient-specific electric field simulations in combination with reconstruction of DRT was successfully implemented. Accurate tissue classification is essential for electric field simulations, especially when using the current control stimulation. With an accurate targeting and tractography reconstruction, directional leads have the potential to tailor the electric field into the desired region.
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spelling pubmed-68800132019-11-29 White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation Nordin, Teresa Zsigmond, Peter Pujol, Sonia Westin, Carl-Fredrik Wårdell, Karin Neuroimage Clin Regular Article OBJECTIVE: Deep brain stimulation (DBS) in zona incerta (Zi) is used for symptom alleviation in essential tremor (ET). Zi is positioned along the dentato-rubro-thalamic tract (DRT). Electric field simulations with the finite element method (FEM) can be used for estimation of a volume where the stimulation affects the tissue by applying a fixed isolevel (V(DBS)). This work aims to develop a workflow for combined patient-specific electric field simulation and white matter tracing of the DRT, and to investigate the influence on the V(DBS) from different brain tissue models, lead design and stimulation modes. The novelty of this work lies in the combination of all these components. METHOD: Patients with ET were implanted in Zi (lead 3389, n = 3, voltage mode; directional lead 6172, n = 1, current mode). Probabilistic reconstruction from diffusion MRI (dMRI) of the DRT (n = 8) was computed with FSL Toolbox. Brain tissue models were created for each patient (two homogenous, one heterogenous isotropic, one heterogenous anisotropic) and the respective V(DBS) (n = 48) calculated from the Comsol Multiphysics FEM simulations. The DRT and V(DBS) were visualized with 3DSlicer and superimposed on the preoperative T2 MRI, and the common volumes calculated. Dice Coefficient (DC) and level of anisotropy were used to evaluate and compare the brain models. RESULT: Combined patient-specific tractography and electric field simulation was designed and evaluated, and all patients showed benefit from DBS. All V(DBS) overlapped the reconstructed DRT. Current stimulation showed prominent difference between the tissue models, where the homogenous grey matter deviated most (67 < DC < 69). Result from heterogenous isotropic and anisotropic models were similar (DC > 0.95), however the anisotropic model consistently generated larger volumes related to a greater extension of the electric field along the DBS lead. Independent of tissue model, the steering effect of the directional lead was evident and consistent. CONCLUSION: A workflow for patient-specific electric field simulations in combination with reconstruction of DRT was successfully implemented. Accurate tissue classification is essential for electric field simulations, especially when using the current control stimulation. With an accurate targeting and tractography reconstruction, directional leads have the potential to tailor the electric field into the desired region. Elsevier 2019-10-25 /pmc/articles/PMC6880013/ /pubmed/31795055 http://dx.doi.org/10.1016/j.nicl.2019.102026 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Nordin, Teresa
Zsigmond, Peter
Pujol, Sonia
Westin, Carl-Fredrik
Wårdell, Karin
White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title_full White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title_fullStr White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title_full_unstemmed White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title_short White matter tracing combined with electric field simulation – A patient-specific approach for deep brain stimulation
title_sort white matter tracing combined with electric field simulation – a patient-specific approach for deep brain stimulation
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880013/
https://www.ncbi.nlm.nih.gov/pubmed/31795055
http://dx.doi.org/10.1016/j.nicl.2019.102026
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