Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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
_version_ 1783485732412719104
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
work_keys_str_mv AT mullerjennifer feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT alizadehmahdi feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT lilucy feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT thalheimersara feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT matiascaio feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT tantawimohamed feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT miaojingya feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT silvermanmackenzie feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT zhangveronica feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT yungrace feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT romovictor feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT mohamedferozeb feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator
AT wuchengyuan feasibilityofdiffusionandprobabilisticwhitematteranalysisinpatientsimplantedwithadeepbrainstimulator