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 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 T1, T2, T∗2, 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.

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Author:René-Maxime Gracien, Franca Petrov, Pavel Hok, Alexandra van Wijnen, Michelle Maiworm, Alexander Seiler, Ralf Deichmann, Simon Baudrexel
Pubmed Id:
Parent Title (English):Frontiers in neurology
Publisher:Frontiers Research Foundation
Place of publication:Lausanne
Contributor(s):Davide Martino
Document Type:Article
Year of Completion:2019
Date of first Publication:2019/08/27
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2019/12/18
Tag:idiopathic dystonia; movement disorders; proton density; quantitative MRI; relaxometry
Issue:Art. 914
Page Number:8
First Page:1
Last Page:8
Copyright © 2019 Gracien, Petrov, Hok, van Wijnen, Maiworm, Seiler, Deichmann and Baudrexel. 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.
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCreative Commons - Namensnennung 4.0