How can neurophysiological studies help with movement disorders characterization in clinical practice? A review
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de neuro-psiquiatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2020000800512 |
Resumo: | ABSTRACT Background: Neurophysiological studies are ancillary tools to better understand the features and nature of movement disorders. Electromyography (EMG), together with electroencephalography (EEG) and accelerometer, can be used to evaluate a hypo and hyperkinetic spectrum of movements. Specific techniques can be applied to better characterize the phenomenology, help distinguish functional from organic origin and assess the most probable site of the movement generator in the nervous system. Objective: We intend to provide an update for clinicians on helpful neurophysiological tools to assess movement disorders in clinical practice. Methods: Non-systematic review of the literature published up to June 2019. Results: A diversity of protocols was found and described. These include EMG analyses to define dystonia, myoclonus, myokymia, myorhythmia, and painful legs moving toes pattern; EMG in combination with accelerometer to study tremor; and EEG-EMG to study myoclonus. Also, indirect measures of cortical and brainstem excitability help to describe and diagnose abnormal physiology in Parkinson's disease, atypical parkinsonism, dystonia, and myoclonus. Conclusion: These studies can be helpful for the diagnosis and are usually underutilized in neurological practice. |
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How can neurophysiological studies help with movement disorders characterization in clinical practice? A reviewMovement DisordersNeurophysiologyDystoniaTremorMyoclonusABSTRACT Background: Neurophysiological studies are ancillary tools to better understand the features and nature of movement disorders. Electromyography (EMG), together with electroencephalography (EEG) and accelerometer, can be used to evaluate a hypo and hyperkinetic spectrum of movements. Specific techniques can be applied to better characterize the phenomenology, help distinguish functional from organic origin and assess the most probable site of the movement generator in the nervous system. Objective: We intend to provide an update for clinicians on helpful neurophysiological tools to assess movement disorders in clinical practice. Methods: Non-systematic review of the literature published up to June 2019. Results: A diversity of protocols was found and described. These include EMG analyses to define dystonia, myoclonus, myokymia, myorhythmia, and painful legs moving toes pattern; EMG in combination with accelerometer to study tremor; and EEG-EMG to study myoclonus. Also, indirect measures of cortical and brainstem excitability help to describe and diagnose abnormal physiology in Parkinson's disease, atypical parkinsonism, dystonia, and myoclonus. Conclusion: These studies can be helpful for the diagnosis and are usually underutilized in neurological practice.Academia Brasileira de Neurologia - ABNEURO2020-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2020000800512Arquivos de Neuro-Psiquiatria v.78 n.8 2020reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/0004-282x20190195info:eu-repo/semantics/openAccessGRIPPE,TalytaCUNHA,Natalia Spinola Costa daBRANDÃO,Pedro Renato de PaulaFERNANDEZ,Rubens Nelson MoratoCARDOSO,Francisco Eduardo Costaeng2020-08-31T00:00:00Zoai:scielo:S0004-282X2020000800512Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2020-08-31T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse |
dc.title.none.fl_str_mv |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
title |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
spellingShingle |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review GRIPPE,Talyta Movement Disorders Neurophysiology Dystonia Tremor Myoclonus |
title_short |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
title_full |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
title_fullStr |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
title_full_unstemmed |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
title_sort |
How can neurophysiological studies help with movement disorders characterization in clinical practice? A review |
author |
GRIPPE,Talyta |
author_facet |
GRIPPE,Talyta CUNHA,Natalia Spinola Costa da BRANDÃO,Pedro Renato de Paula FERNANDEZ,Rubens Nelson Morato CARDOSO,Francisco Eduardo Costa |
author_role |
author |
author2 |
CUNHA,Natalia Spinola Costa da BRANDÃO,Pedro Renato de Paula FERNANDEZ,Rubens Nelson Morato CARDOSO,Francisco Eduardo Costa |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
GRIPPE,Talyta CUNHA,Natalia Spinola Costa da BRANDÃO,Pedro Renato de Paula FERNANDEZ,Rubens Nelson Morato CARDOSO,Francisco Eduardo Costa |
dc.subject.por.fl_str_mv |
Movement Disorders Neurophysiology Dystonia Tremor Myoclonus |
topic |
Movement Disorders Neurophysiology Dystonia Tremor Myoclonus |
description |
ABSTRACT Background: Neurophysiological studies are ancillary tools to better understand the features and nature of movement disorders. Electromyography (EMG), together with electroencephalography (EEG) and accelerometer, can be used to evaluate a hypo and hyperkinetic spectrum of movements. Specific techniques can be applied to better characterize the phenomenology, help distinguish functional from organic origin and assess the most probable site of the movement generator in the nervous system. Objective: We intend to provide an update for clinicians on helpful neurophysiological tools to assess movement disorders in clinical practice. Methods: Non-systematic review of the literature published up to June 2019. Results: A diversity of protocols was found and described. These include EMG analyses to define dystonia, myoclonus, myokymia, myorhythmia, and painful legs moving toes pattern; EMG in combination with accelerometer to study tremor; and EEG-EMG to study myoclonus. Also, indirect measures of cortical and brainstem excitability help to describe and diagnose abnormal physiology in Parkinson's disease, atypical parkinsonism, dystonia, and myoclonus. Conclusion: These studies can be helpful for the diagnosis and are usually underutilized in neurological practice. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2020000800512 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2020000800512 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0004-282x20190195 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
dc.source.none.fl_str_mv |
Arquivos de Neuro-Psiquiatria v.78 n.8 2020 reponame:Arquivos de neuro-psiquiatria (Online) instname:Academia Brasileira de Neurologia instacron:ABNEURO |
instname_str |
Academia Brasileira de Neurologia |
instacron_str |
ABNEURO |
institution |
ABNEURO |
reponame_str |
Arquivos de neuro-psiquiatria (Online) |
collection |
Arquivos de neuro-psiquiatria (Online) |
repository.name.fl_str_mv |
Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia |
repository.mail.fl_str_mv |
||revista.arquivos@abneuro.org |
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