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Dystonia Diagnosis: Clinical Neurophysiology and Genetics
Dystonia diagnosis is based on clinical examination performed by a neurologist with expertise in movement disorders. Clues that indicate the diagnosis of a movement disorder such as dystonia are dystonic movements, dystonic postures, and three additional physical signs (mirror dystonia, overflow dys...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320296/ https://www.ncbi.nlm.nih.gov/pubmed/35887948 http://dx.doi.org/10.3390/jcm11144184 |
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author | di Biase, Lazzaro Di Santo, Alessandro Caminiti, Maria Letizia Pecoraro, Pasquale Maria Carbone, Simona Paola Di Lazzaro, Vincenzo |
author_facet | di Biase, Lazzaro Di Santo, Alessandro Caminiti, Maria Letizia Pecoraro, Pasquale Maria Carbone, Simona Paola Di Lazzaro, Vincenzo |
author_sort | di Biase, Lazzaro |
collection | PubMed |
description | Dystonia diagnosis is based on clinical examination performed by a neurologist with expertise in movement disorders. Clues that indicate the diagnosis of a movement disorder such as dystonia are dystonic movements, dystonic postures, and three additional physical signs (mirror dystonia, overflow dystonia, and geste antagonists/sensory tricks). Despite advances in research, there is no diagnostic test with a high level of accuracy for the dystonia diagnosis. Clinical neurophysiology and genetics might support the clinician in the diagnostic process. Neurophysiology played a role in untangling dystonia pathophysiology, demonstrating characteristic reduction in inhibition of central motor circuits and alterations in the somatosensory system. The neurophysiologic measure with the greatest evidence in identifying patients affected by dystonia is the somatosensory temporal discrimination threshold (STDT). Other parameters need further confirmations and more solid evidence to be considered as support for the dystonia diagnosis. Genetic testing should be guided by characteristics such as age at onset, body distribution, associated features, and coexistence of other movement disorders (parkinsonism, myoclonus, and other hyperkinesia). The aim of the present review is to summarize the state of the art regarding dystonia diagnosis focusing on the role of neurophysiology and genetic testing. |
format | Online Article Text |
id | pubmed-9320296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93202962022-07-27 Dystonia Diagnosis: Clinical Neurophysiology and Genetics di Biase, Lazzaro Di Santo, Alessandro Caminiti, Maria Letizia Pecoraro, Pasquale Maria Carbone, Simona Paola Di Lazzaro, Vincenzo J Clin Med Review Dystonia diagnosis is based on clinical examination performed by a neurologist with expertise in movement disorders. Clues that indicate the diagnosis of a movement disorder such as dystonia are dystonic movements, dystonic postures, and three additional physical signs (mirror dystonia, overflow dystonia, and geste antagonists/sensory tricks). Despite advances in research, there is no diagnostic test with a high level of accuracy for the dystonia diagnosis. Clinical neurophysiology and genetics might support the clinician in the diagnostic process. Neurophysiology played a role in untangling dystonia pathophysiology, demonstrating characteristic reduction in inhibition of central motor circuits and alterations in the somatosensory system. The neurophysiologic measure with the greatest evidence in identifying patients affected by dystonia is the somatosensory temporal discrimination threshold (STDT). Other parameters need further confirmations and more solid evidence to be considered as support for the dystonia diagnosis. Genetic testing should be guided by characteristics such as age at onset, body distribution, associated features, and coexistence of other movement disorders (parkinsonism, myoclonus, and other hyperkinesia). The aim of the present review is to summarize the state of the art regarding dystonia diagnosis focusing on the role of neurophysiology and genetic testing. MDPI 2022-07-19 /pmc/articles/PMC9320296/ /pubmed/35887948 http://dx.doi.org/10.3390/jcm11144184 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review di Biase, Lazzaro Di Santo, Alessandro Caminiti, Maria Letizia Pecoraro, Pasquale Maria Carbone, Simona Paola Di Lazzaro, Vincenzo Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title | Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title_full | Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title_fullStr | Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title_full_unstemmed | Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title_short | Dystonia Diagnosis: Clinical Neurophysiology and Genetics |
title_sort | dystonia diagnosis: clinical neurophysiology and genetics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320296/ https://www.ncbi.nlm.nih.gov/pubmed/35887948 http://dx.doi.org/10.3390/jcm11144184 |
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