32
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Structural magnetic resonance imaging in dystonia: A systematic review of methodological approaches and findings

      review-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background and purpose

          Structural magnetic resonance techniques have been widely applied in neurological disorders to better understand tissue changes, probing characteristics such as volume, iron deposition and diffusion. Dystonia is a hyperkinetic movement disorder, resulting in abnormal postures and pain. Its pathophysiology is poorly understood, with normal routine clinical imaging in idiopathic forms. More advanced tools provide an opportunity to identify smaller scale structural changes which may underpin pathophysiology. This review aims to provide an overview of methodological approaches undertaken in structural brain imaging of dystonia cohorts, and to identify commonly identified pathways, networks or regions that are implicated in pathogenesis.

          Methods

          Structural magnetic resonance imaging studies of idiopathic and genetic forms of dystonia were systematically reviewed. Adhering to strict inclusion and exclusion criteria, PubMed and Embase databases were searched up to January 2022, with studies reviewed for methodological quality and key findings.

          Results

          Seventy‐seven studies were included, involving 1945 participants. The majority of studies employed diffusion tensor imaging (DTI) ( n = 45) or volumetric analyses ( n = 37), with frequently implicated areas of abnormality in the brainstem, cerebellum, basal ganglia and sensorimotor cortex and their interconnecting white matter pathways. Genotypic and motor phenotypic variation emerged, for example fewer cerebello‐thalamic tractography streamlines in genetic forms than idiopathic and higher grey matter volumes in task‐specific than non‐task‐specific dystonias.

          Discussion

          Work to date suggests microstructural brain changes in those diagnosed with dystonia, although the underlying nature of these changes remains undetermined. Employment of techniques such as multiple diffusion weightings or multi‐exponential relaxometry has the potential to enhance understanding of these differences.

          Abstract

          This article systematically reviews the literature applying structural magnetic resonance imaging in dystonia. An overview is provided of methodological approaches and common implicated regions. Key grey matter motor control regions and their interconnecting white matter most consistently demonstrate differences compared to control populations.

          Related collections

          Most cited references88

          • Record: found
          • Abstract: found
          • Article: not found

          Testing a tool for assessing the risk of bias for nonrandomized studies showed moderate reliability and promising validity.

          To develop and validate a new risk-of-bias tool for nonrandomized studies (NRSs). We developed the Risk of Bias Assessment Tool for Nonrandomized Studies (RoBANS). A validation process with 39 NRSs examined the reliability (interrater agreement), validity (the degree of correlation between the overall assessments of RoBANS and Methodological Index for Nonrandomized Studies [MINORS], obtained by plotting the overall risk of bias relative to effect size and funding source), face validity with eight experts, and completion time for the RoBANS approach. RoBANS contains six domains: the selection of participants, confounding variables, the measurement of exposure, the blinding of the outcome assessments, incomplete outcome data, and selective outcome reporting. The interrater agreement of the RoBANS tool except the measurement of exposure and selective outcome reporting domains ranged from fair to substantial. There was a moderate correlation between the overall risks of bias determined using RoBANS and MINORS. The observed differences in effect sizes and funding sources among the assessed studies were not correlated with the overall risk of bias in these studies. The mean time required to complete RoBANS was approximately 10 min. The external experts who were interviewed evaluated RoBANS as a "fair" assessment tool. RoBANS shows moderate reliability, promising feasibility, and validity. The further refinement of this tool and larger validation studies are required. Copyright © 2013 Elsevier Inc. All rights reserved.
            • Record: found
            • Abstract: found
            • Article: found

            Phenomenology and classification of dystonia: a consensus update.

            This report describes the consensus outcome of an international panel consisting of investigators with years of experience in this field that reviewed the definition and classification of dystonia. Agreement was obtained based on a consensus development methodology during 3 in-person meetings and manuscript review by mail. Dystonia is defined as a movement disorder characterized by sustained or intermittent muscle contractions causing abnormal, often repetitive, movements, postures, or both. Dystonic movements are typically patterned and twisting, and may be tremulous. Dystonia is often initiated or worsened by voluntary action and associated with overflow muscle activation. Dystonia is classified along 2 axes: clinical characteristics, including age at onset, body distribution, temporal pattern and associated features (additional movement disorders or neurological features); and etiology, which includes nervous system pathology and inheritance. The clinical characteristics fall into several specific dystonia syndromes that help to guide diagnosis and treatment. We provide here a new general definition of dystonia and propose a new classification. We encourage clinicians and researchers to use these innovative definition and classification and test them in the clinical setting on a variety of patients with dystonia. © 2013 Movement Disorder Society. © 2013 Movement Disorder Society.
              • Record: found
              • Abstract: found
              • Article: not found

              Cerebellothalamocortical connectivity regulates penetrance in dystonia.

              Dystonia is a brain disorder characterized by sustained involuntary muscle contractions. It is typically inherited as an autosomal dominant trait with incomplete penetrance. While lacking clear degenerative neuropathology, primary dystonia is thought to involve microstructural and functional changes in neuronal circuitry. In the current study, we used magnetic resonance diffusion tensor imaging and probabilistic tractography to identify the specific circuit abnormalities that underlie clinical penetrance in carriers of genetic mutations for this disorder. This approach revealed reduced integrity of cerebellothalamocortical fiber tracts, likely developmental in origin, in both manifesting and clinically nonmanifesting dystonia mutation carriers. In these subjects, reductions in cerebellothalamic connectivity correlated with increased motor activation responses, consistent with loss of inhibition at the cortical level. Nonmanifesting mutation carriers were distinguished by an additional area of fiber tract disruption situated distally along the thalamocortical segment of the pathway, in tandem with the proximal cerebellar outflow abnormality. In individual gene carriers, clinical penetrance was determined by the difference in connectivity measured at these two sites. Overall, these findings point to a novel mechanism to explain differences in clinical expression in carriers of genes for brain disease.

                Author and article information

                Contributors
                maciverc@cardiff.ac.uk
                peallkj@cardiff.ac.uk
                Journal
                Eur J Neurol
                Eur J Neurol
                10.1111/(ISSN)1468-1331
                ENE
                European Journal of Neurology
                John Wiley and Sons Inc. (Hoboken )
                1351-5101
                1468-1331
                22 July 2022
                November 2022
                : 29
                : 11 ( doiID: 10.1111/ene.v29.11 )
                : 3418-3448
                Affiliations
                [ 1 ] Neuroscience and Mental Health Research Institute Division of Psychological Medicine and Clinical Neurosciences Cardiff University School of Medicine Cardiff UK
                [ 2 ] Cardiff University Brain Imaging Centre (CUBRIC) Cardiff University Cardiff UK
                [ 3 ] Image Sciences Institute University Medical Center Utrecht Utrecht The Netherlands
                Author notes
                [*] [* ] Correspondence

                Claire MacIver, Cardiff University Brain Imaging Centre, Maindy Road, Cardiff CF24 4HQ, UK.

                Email: maciverc@ 123456cardiff.ac.uk

                Kathryn Peall, Neuroscience Innovation Institute, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK.

                Email: peallkj@ 123456cardiff.ac.uk

                Author information
                https://orcid.org/0000-0002-5040-3487
                https://orcid.org/0000-0003-4749-4944
                Article
                ENE15483 EJoN-22-1286.R1
                10.1111/ene.15483
                9796340
                35785410
                086661ea-f3aa-4bea-9c98-8d2f618c078c
                © 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 June 2022
                : 26 May 2022
                : 30 June 2022
                Page count
                Figures: 5, Tables: 4, Pages: 31, Words: 9452
                Funding
                Funded by: ABN/ Guarantors of Brain Clinical Research Training Fellowship
                Award ID: 520286
                Funded by: Wellcome Trust translation of concept scheme
                Award ID: 520958
                Categories
                Review Article
                Movement Disorders
                Custom metadata
                2.0
                November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:28.12.2022

                Neurology
                diffusion mri,dystonia,movement disorders,mri,systematic review
                Neurology
                diffusion mri, dystonia, movement disorders, mri, systematic review

                Comments

                Comment on this article

                Related Documents Log