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Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia
Background: While in symptomatic forms of dystonia cerebral pathology is by definition present, it is unclear so far whether disease is associated with microstructural cerebral changes in idiopathic dystonia. Previous quantitative MRI (qMRI) studies assessing cerebral tissue composition in idiopathi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719627/ https://www.ncbi.nlm.nih.gov/pubmed/31507518 http://dx.doi.org/10.3389/fneur.2019.00914 |
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author | Gracien, René-Maxime Petrov, Franca Hok, Pavel van Wijnen, Alexandra Maiworm, Michelle Seiler, Alexander Deichmann, Ralf Baudrexel, Simon |
author_facet | Gracien, René-Maxime Petrov, Franca Hok, Pavel van Wijnen, Alexandra Maiworm, Michelle Seiler, Alexander Deichmann, Ralf Baudrexel, Simon |
author_sort | Gracien, René-Maxime |
collection | PubMed |
description | Background: While in symptomatic forms of dystonia cerebral pathology is by definition present, it is unclear so far whether disease is associated with microstructural cerebral changes in idiopathic dystonia. Previous quantitative MRI (qMRI) studies assessing cerebral tissue composition in idiopathic dystonia revealed conflicting results. Objective: Using multimodal qMRI, the presented study aimed to investigate alterations in different cerebral microstructural compartments associated with idiopathic cervical dystonia in vivo. Methods: Mapping of T(1), T(2), [Formula: see text] , and proton density (PD) was performed in 17 patients with idiopathic cervical dystonia and 29 matched healthy control subjects. Statistical comparisons of the parametric maps between groups were conducted for various regions of interest (ROI), including major basal ganglia nuclei, the thalamus, white matter, and the cerebellum, and voxel-wise for the whole brain. Results: Neither whole brain voxel-wise statistics nor ROI-based analyses revealed significant group differences for any qMRI parameter under investigation. Conclusions: The negative findings of this qMRI study argue against the presence of overt microstructural tissue change in patients with idiopathic cervical dystonia. The results seem to support a common view that idiopathic cervical dystonia might primarily resemble a functional network disease. |
format | Online Article Text |
id | pubmed-6719627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67196272019-09-10 Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia Gracien, René-Maxime Petrov, Franca Hok, Pavel van Wijnen, Alexandra Maiworm, Michelle Seiler, Alexander Deichmann, Ralf Baudrexel, Simon Front Neurol Neurology Background: While in symptomatic forms of dystonia cerebral pathology is by definition present, it is unclear so far whether disease is associated with microstructural cerebral changes in idiopathic dystonia. Previous quantitative MRI (qMRI) studies assessing cerebral tissue composition in idiopathic dystonia revealed conflicting results. Objective: Using multimodal qMRI, the presented study aimed to investigate alterations in different cerebral microstructural compartments associated with idiopathic cervical dystonia in vivo. Methods: Mapping of T(1), T(2), [Formula: see text] , and proton density (PD) was performed in 17 patients with idiopathic cervical dystonia and 29 matched healthy control subjects. Statistical comparisons of the parametric maps between groups were conducted for various regions of interest (ROI), including major basal ganglia nuclei, the thalamus, white matter, and the cerebellum, and voxel-wise for the whole brain. Results: Neither whole brain voxel-wise statistics nor ROI-based analyses revealed significant group differences for any qMRI parameter under investigation. Conclusions: The negative findings of this qMRI study argue against the presence of overt microstructural tissue change in patients with idiopathic cervical dystonia. The results seem to support a common view that idiopathic cervical dystonia might primarily resemble a functional network disease. Frontiers Media S.A. 2019-08-27 /pmc/articles/PMC6719627/ /pubmed/31507518 http://dx.doi.org/10.3389/fneur.2019.00914 Text en Copyright © 2019 Gracien, Petrov, Hok, van Wijnen, Maiworm, Seiler, Deichmann and Baudrexel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Gracien, René-Maxime Petrov, Franca Hok, Pavel van Wijnen, Alexandra Maiworm, Michelle Seiler, Alexander Deichmann, Ralf Baudrexel, Simon Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title | Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title_full | Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title_fullStr | Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title_full_unstemmed | Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title_short | Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia |
title_sort | multimodal quantitative mri reveals no evidence for tissue pathology in idiopathic cervical dystonia |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719627/ https://www.ncbi.nlm.nih.gov/pubmed/31507518 http://dx.doi.org/10.3389/fneur.2019.00914 |
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