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Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator
Deep brain stimulation (DBS) for Parkinson's disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of the underlying efficacy of this treatment ar...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948366/ https://www.ncbi.nlm.nih.gov/pubmed/31901789 http://dx.doi.org/10.1016/j.nicl.2019.102135 |
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author | Muller, Jennifer Alizadeh, Mahdi Li, Lucy Thalheimer, Sara Matias, Caio Tantawi, Mohamed Miao, Jingya Silverman, Mackenzie Zhang, Veronica Yun, Grace Romo, Victor Mohamed, Feroze B. Wu, Chengyuan |
author_facet | Muller, Jennifer Alizadeh, Mahdi Li, Lucy Thalheimer, Sara Matias, Caio Tantawi, Mohamed Miao, Jingya Silverman, Mackenzie Zhang, Veronica Yun, Grace Romo, Victor Mohamed, Feroze B. Wu, Chengyuan |
author_sort | Muller, Jennifer |
collection | PubMed |
description | Deep brain stimulation (DBS) for Parkinson's disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of the underlying efficacy of this treatment are not well understood. Therefore, investigation of DBS and its postoperative effects on brain architecture is of great interest. Diffusion weighted imaging (DWI) is an advanced imaging technique, which has the ability to estimate the structure of white matter fibers; however, clinical application of DWI after DBS implantation is challenging due to the strong susceptibility artifacts caused by implanted devices. This study aims to evaluate the feasibility of generating meaningful white matter reconstructions after DBS implantation; and to subsequently quantify the degree to which these tracts are affected by post-operative device-related artifacts. DWI was safely performed before and after implanting electrodes for DBS in 9 PD patients. Differences within each subject between pre- and post-implantation FA, MD, and RD values for 123 regions of interest (ROIs) were calculated. While differences were noted globally, they were larger in regions directly affected by the artifact. White matter tracts were generated from each ROI with probabilistic tractography, revealing significant differences in the reconstruction of several white matter structures after DBS. Tracts pertinent to PD, such as regions of the substantia nigra and nigrostriatal tracts, were largely unaffected. The aim of this study was to demonstrate the feasibility and clinical applicability of acquiring and processing DWI post-operatively in PD patients after DBS implantation. The presence of global differences provides an impetus for acquiring DWI shortly after implantation to establish a new baseline against which longitudinal changes in brain connectivity in DBS patients can be compared. Understanding that post-operative fiber tracking in patients is feasible on a clinically-relevant scale has significant implications for increasing our current understanding of the pathophysiology of movement disorders, and may provide insights into better defining the pathophysiology and therapeutic effects of DBS. |
format | Online Article Text |
id | pubmed-6948366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69483662020-01-09 Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator Muller, Jennifer Alizadeh, Mahdi Li, Lucy Thalheimer, Sara Matias, Caio Tantawi, Mohamed Miao, Jingya Silverman, Mackenzie Zhang, Veronica Yun, Grace Romo, Victor Mohamed, Feroze B. Wu, Chengyuan Neuroimage Clin Regular Article Deep brain stimulation (DBS) for Parkinson's disease (PD) is an established advanced therapy that produces therapeutic effects through high frequency stimulation. Although this therapeutic option leads to improved clinical outcomes, the mechanisms of the underlying efficacy of this treatment are not well understood. Therefore, investigation of DBS and its postoperative effects on brain architecture is of great interest. Diffusion weighted imaging (DWI) is an advanced imaging technique, which has the ability to estimate the structure of white matter fibers; however, clinical application of DWI after DBS implantation is challenging due to the strong susceptibility artifacts caused by implanted devices. This study aims to evaluate the feasibility of generating meaningful white matter reconstructions after DBS implantation; and to subsequently quantify the degree to which these tracts are affected by post-operative device-related artifacts. DWI was safely performed before and after implanting electrodes for DBS in 9 PD patients. Differences within each subject between pre- and post-implantation FA, MD, and RD values for 123 regions of interest (ROIs) were calculated. While differences were noted globally, they were larger in regions directly affected by the artifact. White matter tracts were generated from each ROI with probabilistic tractography, revealing significant differences in the reconstruction of several white matter structures after DBS. Tracts pertinent to PD, such as regions of the substantia nigra and nigrostriatal tracts, were largely unaffected. The aim of this study was to demonstrate the feasibility and clinical applicability of acquiring and processing DWI post-operatively in PD patients after DBS implantation. The presence of global differences provides an impetus for acquiring DWI shortly after implantation to establish a new baseline against which longitudinal changes in brain connectivity in DBS patients can be compared. Understanding that post-operative fiber tracking in patients is feasible on a clinically-relevant scale has significant implications for increasing our current understanding of the pathophysiology of movement disorders, and may provide insights into better defining the pathophysiology and therapeutic effects of DBS. Elsevier 2019-12-14 /pmc/articles/PMC6948366/ /pubmed/31901789 http://dx.doi.org/10.1016/j.nicl.2019.102135 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Muller, Jennifer Alizadeh, Mahdi Li, Lucy Thalheimer, Sara Matias, Caio Tantawi, Mohamed Miao, Jingya Silverman, Mackenzie Zhang, Veronica Yun, Grace Romo, Victor Mohamed, Feroze B. Wu, Chengyuan Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title | Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title_full | Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title_fullStr | Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title_full_unstemmed | Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title_short | Feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
title_sort | feasibility of diffusion and probabilistic white matter analysis in patients implanted with a deep brain stimulator |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948366/ https://www.ncbi.nlm.nih.gov/pubmed/31901789 http://dx.doi.org/10.1016/j.nicl.2019.102135 |
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