Electroencephalogram characteristics in patients with chronic fatigue syndrome

Tong Wu,1 Xianghua Qi,1 Yuan Su,2 Jing Teng,1 Xiangqing Xu11Internal Medicine-Neurology, Shandong Provincial Traditional Chinese Medical Hospital, 2School of Mathematic and Quantitative Economics, Shandong University of Finance and Economics, Jinan, People’s Republic of ChinaObjective: To...

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Autores principales:	Wu T, Qi X, Su Y, Teng J, Xu X
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	chronic fatigue syndrome brain electrical activity mapping nonlinear dynamics analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/6b534fdb6d8a469e8c54dc801ff04bdc
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spelling	oai:doaj.org-article:6b534fdb6d8a469e8c54dc801ff04bdc2021-12-02T02:11:10ZElectroencephalogram characteristics in patients with chronic fatigue syndrome1178-2021https://doaj.org/article/6b534fdb6d8a469e8c54dc801ff04bdc2016-01-01T00:00:00Zhttps://www.dovepress.com/electroencephalogram-characteristics-in-patients-with-chronic-fatigue--peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Tong Wu,1 Xianghua Qi,1 Yuan Su,2 Jing Teng,1 Xiangqing Xu11Internal Medicine-Neurology, Shandong Provincial Traditional Chinese Medical Hospital, 2School of Mathematic and Quantitative Economics, Shandong University of Finance and Economics, Jinan, People’s Republic of ChinaObjective: To explore the electroencephalogram (EEG) characteristics in patients with chronic fatigue syndrome (CFS) using brain electrical activity mapping (BEAM) and EEG nonlinear dynamical analysis.Methods: Forty-seven outpatients were selected over a 3-month period and divided into an observation group (24 outpatients) and a control group (23 outpatients) by using the non-probability sampling method. All the patients were given a routine EEG. The BEAM and the correlation dimension changes were analyzed to characterize the EEG features.Results: 1) BEAM results indicated that the energy values of δ, θ, and α1 waves significantly increased in the observation group, compared with the control group (P<0.05, P<0.01, respectively), which suggests that the brain electrical activities in CFS patients were significantly reduced and stayed in an inhibitory state; 2) the increase of δ, θ, and α1 energy values in the right frontal and left occipital regions was more significant than other encephalic regions in CFS patients, indicating the region-specific encephalic distribution; 3) the correlation dimension in the observation group was significantly lower than the control group, suggesting decreased EEG complexity in CFS patients.Conclusion: The spontaneous brain electrical activities in CFS patients were significantly reduced. The abnormal changes in the cerebral functions were localized at the right frontal and left occipital regions in CFS patients.Keywords: electrical activities, brain electrical activity mapping, nonlinear dynamical analysisWu TQi XSu YTeng JXu XDove Medical Pressarticlechronic fatigue syndromebrain electrical activity mappingnonlinear dynamics analysisNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2016, Iss Issue 1, Pp 241-249 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	chronic fatigue syndrome brain electrical activity mapping nonlinear dynamics analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	chronic fatigue syndrome brain electrical activity mapping nonlinear dynamics analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Wu T Qi X Su Y Teng J Xu X Electroencephalogram characteristics in patients with chronic fatigue syndrome
description	Tong Wu,1 Xianghua Qi,1 Yuan Su,2 Jing Teng,1 Xiangqing Xu11Internal Medicine-Neurology, Shandong Provincial Traditional Chinese Medical Hospital, 2School of Mathematic and Quantitative Economics, Shandong University of Finance and Economics, Jinan, People’s Republic of ChinaObjective: To explore the electroencephalogram (EEG) characteristics in patients with chronic fatigue syndrome (CFS) using brain electrical activity mapping (BEAM) and EEG nonlinear dynamical analysis.Methods: Forty-seven outpatients were selected over a 3-month period and divided into an observation group (24 outpatients) and a control group (23 outpatients) by using the non-probability sampling method. All the patients were given a routine EEG. The BEAM and the correlation dimension changes were analyzed to characterize the EEG features.Results: 1) BEAM results indicated that the energy values of δ, θ, and α1 waves significantly increased in the observation group, compared with the control group (P<0.05, P<0.01, respectively), which suggests that the brain electrical activities in CFS patients were significantly reduced and stayed in an inhibitory state; 2) the increase of δ, θ, and α1 energy values in the right frontal and left occipital regions was more significant than other encephalic regions in CFS patients, indicating the region-specific encephalic distribution; 3) the correlation dimension in the observation group was significantly lower than the control group, suggesting decreased EEG complexity in CFS patients.Conclusion: The spontaneous brain electrical activities in CFS patients were significantly reduced. The abnormal changes in the cerebral functions were localized at the right frontal and left occipital regions in CFS patients.Keywords: electrical activities, brain electrical activity mapping, nonlinear dynamical analysis
format	article
author	Wu T Qi X Su Y Teng J Xu X
author_facet	Wu T Qi X Su Y Teng J Xu X
author_sort	Wu T
title	Electroencephalogram characteristics in patients with chronic fatigue syndrome
title_short	Electroencephalogram characteristics in patients with chronic fatigue syndrome
title_full	Electroencephalogram characteristics in patients with chronic fatigue syndrome
title_fullStr	Electroencephalogram characteristics in patients with chronic fatigue syndrome
title_full_unstemmed	Electroencephalogram characteristics in patients with chronic fatigue syndrome
title_sort	electroencephalogram characteristics in patients with chronic fatigue syndrome
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/6b534fdb6d8a469e8c54dc801ff04bdc
work_keys_str_mv	AT wut electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome AT qix electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome AT suy electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome AT tengj electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome AT xux electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
_version_	1718402653638098944

Electroencephalogram characteristics in patients with chronic fatigue syndrome

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