Cargando…

Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis

Objective. Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. Methods. Ten male stroke patients and ten matched...

Descripción completa

Detalles Bibliográficos
Autores principales: Agius Anastasi, Andrei, Falzon, Owen, Camilleri, Kenneth, Vella, Malcolm, Muscat, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304313/
https://www.ncbi.nlm.nih.gov/pubmed/28251015
http://dx.doi.org/10.1155/2017/8276136
_version_ 1782506864426090496
author Agius Anastasi, Andrei
Falzon, Owen
Camilleri, Kenneth
Vella, Malcolm
Muscat, Richard
author_facet Agius Anastasi, Andrei
Falzon, Owen
Camilleri, Kenneth
Vella, Malcolm
Muscat, Richard
author_sort Agius Anastasi, Andrei
collection PubMed
description Objective. Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. Methods. Ten male stroke patients and ten matched healthy controls were recruited. Motor function was first assessed clinically using the MRC score, its derivative Motricity Index, and the Fugl–Meyer assessment score. EEG was subsequently recorded first with subjects at rest and then during hand grasping motions, triggered by visual cues. Brain symmetry index (BSI) was used to identify the differences in EEG-quantified interhemispheric cortical power asymmetry observable in healthy versus cortical and subcortical stroke patients. Subsequently, any correlation between BSI and motor function was explored. Results. BSI was found to be significantly higher in stroke subjects compared to healthy controls (p = 0.023). The difference in BSI was more pronounced in the cortical stroke subgroup (p = 0.016). BSI showed only a mild general decrease on repeated monthly recording. Notably, a statistically significant correlation was observed between early BSI and Fugl–Meyer score later in recovery (p < 0.050). Conclusions. Brain symmetry index is increased in the subacute poststroke phase and correlates with motor function 1-2 months after stroke.
format Online
Article
Text
id pubmed-5304313
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-53043132017-03-01 Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis Agius Anastasi, Andrei Falzon, Owen Camilleri, Kenneth Vella, Malcolm Muscat, Richard Stroke Res Treat Research Article Objective. Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. Methods. Ten male stroke patients and ten matched healthy controls were recruited. Motor function was first assessed clinically using the MRC score, its derivative Motricity Index, and the Fugl–Meyer assessment score. EEG was subsequently recorded first with subjects at rest and then during hand grasping motions, triggered by visual cues. Brain symmetry index (BSI) was used to identify the differences in EEG-quantified interhemispheric cortical power asymmetry observable in healthy versus cortical and subcortical stroke patients. Subsequently, any correlation between BSI and motor function was explored. Results. BSI was found to be significantly higher in stroke subjects compared to healthy controls (p = 0.023). The difference in BSI was more pronounced in the cortical stroke subgroup (p = 0.016). BSI showed only a mild general decrease on repeated monthly recording. Notably, a statistically significant correlation was observed between early BSI and Fugl–Meyer score later in recovery (p < 0.050). Conclusions. Brain symmetry index is increased in the subacute poststroke phase and correlates with motor function 1-2 months after stroke. Hindawi Publishing Corporation 2017 2017-01-30 /pmc/articles/PMC5304313/ /pubmed/28251015 http://dx.doi.org/10.1155/2017/8276136 Text en Copyright © 2017 Andrei Agius Anastasi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Agius Anastasi, Andrei
Falzon, Owen
Camilleri, Kenneth
Vella, Malcolm
Muscat, Richard
Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title_full Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title_fullStr Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title_full_unstemmed Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title_short Brain Symmetry Index in Healthy and Stroke Patients for Assessment and Prognosis
title_sort brain symmetry index in healthy and stroke patients for assessment and prognosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304313/
https://www.ncbi.nlm.nih.gov/pubmed/28251015
http://dx.doi.org/10.1155/2017/8276136
work_keys_str_mv AT agiusanastasiandrei brainsymmetryindexinhealthyandstrokepatientsforassessmentandprognosis
AT falzonowen brainsymmetryindexinhealthyandstrokepatientsforassessmentandprognosis
AT camillerikenneth brainsymmetryindexinhealthyandstrokepatientsforassessmentandprognosis
AT vellamalcolm brainsymmetryindexinhealthyandstrokepatientsforassessmentandprognosis
AT muscatrichard brainsymmetryindexinhealthyandstrokepatientsforassessmentandprognosis