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Quantitative measurement of post-concussion syndrome Using Electrovestibulography

In this study, a noninvasive quantitative measure was used to identify short and long term post-concussion syndrome (PCS) both from each other and from healthy control populations. We used Electrovestibulography (EVestG) for detecting neurophysiological PCS consequent to a mild traumatic brain injur...

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Autores principales: Suleiman, Abdelbaset, Lithgow, Brian, Dastgheib, Zeinab, Mansouri, Behzad, Moussavi, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703984/
https://www.ncbi.nlm.nih.gov/pubmed/29180620
http://dx.doi.org/10.1038/s41598-017-15487-2
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author Suleiman, Abdelbaset
Lithgow, Brian
Dastgheib, Zeinab
Mansouri, Behzad
Moussavi, Zahra
author_facet Suleiman, Abdelbaset
Lithgow, Brian
Dastgheib, Zeinab
Mansouri, Behzad
Moussavi, Zahra
author_sort Suleiman, Abdelbaset
collection PubMed
description In this study, a noninvasive quantitative measure was used to identify short and long term post-concussion syndrome (PCS) both from each other and from healthy control populations. We used Electrovestibulography (EVestG) for detecting neurophysiological PCS consequent to a mild traumatic brain injury (mTBI) in both short-term (N = 8) and long-term (N = 30) (beyond the normal recovery period) symptomatic individuals. Peripheral, spontaneously evoked vestibuloacoustic signals incorporating - and modulated by - brainstem responses were recorded using EVestG, while individuals were stationary (no movement stimulus). Tested were 38 individuals with PCS in comparison to those of 33 age-and-gender-matched healthy controls. The extracted features were based on the shape of the averaged extracted field potentials (FPs) and their detected firing pattern. Linear discriminant analysis classification, incorporating a leave-one-out routine, resulted in (A) an unbiased 84% classification accuracy for separating healthy controls from a mix of long and short-term symptomatology PCS sufferers and (B) a 79% classification accuracy for separating between long and short-term symptomatology PCS sufferers. Comparatively, short-term symptomatology PCS was generally detected as more distal from controls. Based on the results, the EVestG recording shows promise as an assistive objective tool for detecting and monitoring individuals with PCS after normal recovery periods.
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spelling pubmed-57039842017-11-30 Quantitative measurement of post-concussion syndrome Using Electrovestibulography Suleiman, Abdelbaset Lithgow, Brian Dastgheib, Zeinab Mansouri, Behzad Moussavi, Zahra Sci Rep Article In this study, a noninvasive quantitative measure was used to identify short and long term post-concussion syndrome (PCS) both from each other and from healthy control populations. We used Electrovestibulography (EVestG) for detecting neurophysiological PCS consequent to a mild traumatic brain injury (mTBI) in both short-term (N = 8) and long-term (N = 30) (beyond the normal recovery period) symptomatic individuals. Peripheral, spontaneously evoked vestibuloacoustic signals incorporating - and modulated by - brainstem responses were recorded using EVestG, while individuals were stationary (no movement stimulus). Tested were 38 individuals with PCS in comparison to those of 33 age-and-gender-matched healthy controls. The extracted features were based on the shape of the averaged extracted field potentials (FPs) and their detected firing pattern. Linear discriminant analysis classification, incorporating a leave-one-out routine, resulted in (A) an unbiased 84% classification accuracy for separating healthy controls from a mix of long and short-term symptomatology PCS sufferers and (B) a 79% classification accuracy for separating between long and short-term symptomatology PCS sufferers. Comparatively, short-term symptomatology PCS was generally detected as more distal from controls. Based on the results, the EVestG recording shows promise as an assistive objective tool for detecting and monitoring individuals with PCS after normal recovery periods. Nature Publishing Group UK 2017-11-27 /pmc/articles/PMC5703984/ /pubmed/29180620 http://dx.doi.org/10.1038/s41598-017-15487-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Suleiman, Abdelbaset
Lithgow, Brian
Dastgheib, Zeinab
Mansouri, Behzad
Moussavi, Zahra
Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title_full Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title_fullStr Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title_full_unstemmed Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title_short Quantitative measurement of post-concussion syndrome Using Electrovestibulography
title_sort quantitative measurement of post-concussion syndrome using electrovestibulography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703984/
https://www.ncbi.nlm.nih.gov/pubmed/29180620
http://dx.doi.org/10.1038/s41598-017-15487-2
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