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Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease

INTRODUCTION: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established therapy for Parkinson's disease (PD). However, a more detailed characterization of the targeted network and its grey matter (GM) terminals that drive the clinical outcome is needed. In this direction, th...

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Autores principales: Gonzalez-Escamilla, Gabriel, Koirala, Nabin, Bange, Manuel, Glaser, Martin, Pintea, Bogdan, Dresel, Christian, Deuschl, Günther, Muthuraman, Muthuraman, Groppa, Sergiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857357/
https://www.ncbi.nlm.nih.gov/pubmed/35000133
http://dx.doi.org/10.1007/s40120-021-00318-4
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author Gonzalez-Escamilla, Gabriel
Koirala, Nabin
Bange, Manuel
Glaser, Martin
Pintea, Bogdan
Dresel, Christian
Deuschl, Günther
Muthuraman, Muthuraman
Groppa, Sergiu
author_facet Gonzalez-Escamilla, Gabriel
Koirala, Nabin
Bange, Manuel
Glaser, Martin
Pintea, Bogdan
Dresel, Christian
Deuschl, Günther
Muthuraman, Muthuraman
Groppa, Sergiu
author_sort Gonzalez-Escamilla, Gabriel
collection PubMed
description INTRODUCTION: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established therapy for Parkinson's disease (PD). However, a more detailed characterization of the targeted network and its grey matter (GM) terminals that drive the clinical outcome is needed. In this direction, the use of MRI after DBS surgery is now possible due to recent advances in hardware, opening a window for the clarification of the association between the affected tissue, including white matter fiber pathways and modulated GM regions, and the DBS-related clinical outcome. Therefore, we present a computational framework for reconstruction of targeted networks on postoperative MRI. METHODS: We used a combination of preoperative whole-brain T1-weighted (T1w) and diffusion-weighted MRI data for morphometric integrity assessment and postoperative T1w MRI for electrode reconstruction and network reconstruction in 15 idiopathic PD patients. Within this framework, we made use of DBS lead artifact intensity profiles on postoperative MRI to determine DBS locations used as seeds for probabilistic tractography to cortical and subcortical targets within the motor circuitry. Lastly, we evaluated the relationship between brain microstructural characteristics of DBS-targeted brain network terminals and postoperative clinical outcomes. RESULTS: The proposed framework showed robust performance for identifying the DBS electrode positions. Connectivity profiles between the primary motor cortex (M1), supplementary motor area (SMA), and DBS locations were strongly associated with the stimulation intensity needed for the optimal clinical outcome. Local diffusion properties of the modulated pathways were related to DBS outcomes. STN-DBS motor symptom improvement was highly associated with cortical thickness in the middle frontal and superior frontal cortices, but not with subcortical volumetry. CONCLUSION: These data suggest that STN-DBS outcomes largely rely on the modulatory interference from cortical areas, particularly M1 and SMA, to DBS locations.
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spelling pubmed-88573572022-02-23 Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease Gonzalez-Escamilla, Gabriel Koirala, Nabin Bange, Manuel Glaser, Martin Pintea, Bogdan Dresel, Christian Deuschl, Günther Muthuraman, Muthuraman Groppa, Sergiu Neurol Ther Original Research INTRODUCTION: Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an established therapy for Parkinson's disease (PD). However, a more detailed characterization of the targeted network and its grey matter (GM) terminals that drive the clinical outcome is needed. In this direction, the use of MRI after DBS surgery is now possible due to recent advances in hardware, opening a window for the clarification of the association between the affected tissue, including white matter fiber pathways and modulated GM regions, and the DBS-related clinical outcome. Therefore, we present a computational framework for reconstruction of targeted networks on postoperative MRI. METHODS: We used a combination of preoperative whole-brain T1-weighted (T1w) and diffusion-weighted MRI data for morphometric integrity assessment and postoperative T1w MRI for electrode reconstruction and network reconstruction in 15 idiopathic PD patients. Within this framework, we made use of DBS lead artifact intensity profiles on postoperative MRI to determine DBS locations used as seeds for probabilistic tractography to cortical and subcortical targets within the motor circuitry. Lastly, we evaluated the relationship between brain microstructural characteristics of DBS-targeted brain network terminals and postoperative clinical outcomes. RESULTS: The proposed framework showed robust performance for identifying the DBS electrode positions. Connectivity profiles between the primary motor cortex (M1), supplementary motor area (SMA), and DBS locations were strongly associated with the stimulation intensity needed for the optimal clinical outcome. Local diffusion properties of the modulated pathways were related to DBS outcomes. STN-DBS motor symptom improvement was highly associated with cortical thickness in the middle frontal and superior frontal cortices, but not with subcortical volumetry. CONCLUSION: These data suggest that STN-DBS outcomes largely rely on the modulatory interference from cortical areas, particularly M1 and SMA, to DBS locations. Springer Healthcare 2022-01-09 /pmc/articles/PMC8857357/ /pubmed/35000133 http://dx.doi.org/10.1007/s40120-021-00318-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Gonzalez-Escamilla, Gabriel
Koirala, Nabin
Bange, Manuel
Glaser, Martin
Pintea, Bogdan
Dresel, Christian
Deuschl, Günther
Muthuraman, Muthuraman
Groppa, Sergiu
Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title_full Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title_fullStr Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title_full_unstemmed Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title_short Deciphering the Network Effects of Deep Brain Stimulation in Parkinson's Disease
title_sort deciphering the network effects of deep brain stimulation in parkinson's disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857357/
https://www.ncbi.nlm.nih.gov/pubmed/35000133
http://dx.doi.org/10.1007/s40120-021-00318-4
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