{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T16:26:54Z","timestamp":1787502414997,"version":"build-2736575974"},"reference-count":88,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T00:00:00Z","timestamp":1658448000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and purpose<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seventy\u2010seven studies were included, involving 1945 participants. The majority of studies employed diffusion tensor imaging (DTI) (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u200945) or volumetric analyses (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u200937), 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\u2010thalamic tractography streamlines in genetic forms than idiopathic and higher grey matter volumes in task\u2010specific than non\u2010task\u2010specific dystonias.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>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\u2010exponential relaxometry has the potential to enhance understanding of these differences.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ene.15483","type":"journal-article","created":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T09:48:27Z","timestamp":1656928107000},"page":"3418-3448","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Structural magnetic resonance imaging in dystonia: A systematic review of methodological approaches and findings"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5040-3487","authenticated-orcid":false,"given":"Claire L.","family":"MacIver","sequence":"first","affiliation":[{"name":"Neuroscience and Mental Health Research Institute Division of Psychological Medicine and Clinical Neurosciences Cardiff University School of Medicine  Cardiff UK"},{"name":"Cardiff University Brain Imaging Centre (CUBRIC) Cardiff University  Cardiff UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chantal M. 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