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Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients

BACKGROUND: A possible method of finding physiological markers of multiple sclerosis (MS) is the application of EEG quantification (QEEG) of brain activity when the subject is stressed by the demands of a cognitive task. In particular, modulations of the spectral content that take place in the EEG o...

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Autores principales: Vazquez-Marrufo, Manuel, Gonzalez-Rosa, Javier J, Vaquero, Encarnacion, Duque, Pablo, Borges, Monica, Gomez, Carlos, Izquierdo, Guillermo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2628940/
https://www.ncbi.nlm.nih.gov/pubmed/19025654
http://dx.doi.org/10.1186/1471-2377-8-44
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author Vazquez-Marrufo, Manuel
Gonzalez-Rosa, Javier J
Vaquero, Encarnacion
Duque, Pablo
Borges, Monica
Gomez, Carlos
Izquierdo, Guillermo
author_facet Vazquez-Marrufo, Manuel
Gonzalez-Rosa, Javier J
Vaquero, Encarnacion
Duque, Pablo
Borges, Monica
Gomez, Carlos
Izquierdo, Guillermo
author_sort Vazquez-Marrufo, Manuel
collection PubMed
description BACKGROUND: A possible method of finding physiological markers of multiple sclerosis (MS) is the application of EEG quantification (QEEG) of brain activity when the subject is stressed by the demands of a cognitive task. In particular, modulations of the spectral content that take place in the EEG of patients with multiple sclerosis remitting-relapsing (RRMS) and benign multiple sclerosis (BMS) during a visuo-spatial task need to be observed. METHODS: The sample consisted of 19 patients with RRMS, 10 with BMS, and 21 control subjects. All patients were free of medication and had not relapsed within the last month. The power spectral density (PSD) of different EEG bands was calculated by Fast-Fourier-Transformation (FFT), those analysed being delta, theta, alpha, beta and gamma. Z-transformation was performed to observe individual profiles in each experimental group for spectral modulations. Lastly, correlation analyses was performed between QEEG values and other variables from participants in the study (age, EDSS, years of evolution and cognitive performance). RESULTS: Nearly half (42%) the RRMS patients showed a statistically significant increase of two or more standard deviations (SD) compared to the control mean value for the beta-2 and gamma bands (F = 2.074, p = 0.004). These alterations were localized to the anterior regions of the right hemisphere, and bilaterally to the posterior areas of the scalp. None of the BMS patients or control subjects had values outside the range of ± 2 SD. There were no significant correlations between these values and the other variables analysed (age, EDSS, years of evolution or behavioural performance). CONCLUSION: During the attentional processing, changes in the high EEG spectrum (beta-2 and gamma) in MS patients exhibit physiological alterations that are not normally detected by spontaneous EEG analysis. The different spectral pattern between pathological and controls groups could represent specific changes for the RRMS patients, indicative of compensatory mechanisms or cortical excitatory states representative of some phases during the RRMS course that are not present in the BMS group.
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spelling pubmed-26289402009-01-21 Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients Vazquez-Marrufo, Manuel Gonzalez-Rosa, Javier J Vaquero, Encarnacion Duque, Pablo Borges, Monica Gomez, Carlos Izquierdo, Guillermo BMC Neurol Research Article BACKGROUND: A possible method of finding physiological markers of multiple sclerosis (MS) is the application of EEG quantification (QEEG) of brain activity when the subject is stressed by the demands of a cognitive task. In particular, modulations of the spectral content that take place in the EEG of patients with multiple sclerosis remitting-relapsing (RRMS) and benign multiple sclerosis (BMS) during a visuo-spatial task need to be observed. METHODS: The sample consisted of 19 patients with RRMS, 10 with BMS, and 21 control subjects. All patients were free of medication and had not relapsed within the last month. The power spectral density (PSD) of different EEG bands was calculated by Fast-Fourier-Transformation (FFT), those analysed being delta, theta, alpha, beta and gamma. Z-transformation was performed to observe individual profiles in each experimental group for spectral modulations. Lastly, correlation analyses was performed between QEEG values and other variables from participants in the study (age, EDSS, years of evolution and cognitive performance). RESULTS: Nearly half (42%) the RRMS patients showed a statistically significant increase of two or more standard deviations (SD) compared to the control mean value for the beta-2 and gamma bands (F = 2.074, p = 0.004). These alterations were localized to the anterior regions of the right hemisphere, and bilaterally to the posterior areas of the scalp. None of the BMS patients or control subjects had values outside the range of ± 2 SD. There were no significant correlations between these values and the other variables analysed (age, EDSS, years of evolution or behavioural performance). CONCLUSION: During the attentional processing, changes in the high EEG spectrum (beta-2 and gamma) in MS patients exhibit physiological alterations that are not normally detected by spontaneous EEG analysis. The different spectral pattern between pathological and controls groups could represent specific changes for the RRMS patients, indicative of compensatory mechanisms or cortical excitatory states representative of some phases during the RRMS course that are not present in the BMS group. BioMed Central 2008-11-24 /pmc/articles/PMC2628940/ /pubmed/19025654 http://dx.doi.org/10.1186/1471-2377-8-44 Text en Copyright © 2008 Vazquez-Marrufo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Vazquez-Marrufo, Manuel
Gonzalez-Rosa, Javier J
Vaquero, Encarnacion
Duque, Pablo
Borges, Monica
Gomez, Carlos
Izquierdo, Guillermo
Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title_full Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title_fullStr Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title_full_unstemmed Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title_short Quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
title_sort quantitative electroencephalography reveals different physiological profiles between benign and remitting-relapsing multiple sclerosis patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2628940/
https://www.ncbi.nlm.nih.gov/pubmed/19025654
http://dx.doi.org/10.1186/1471-2377-8-44
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