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...

Full description

Bibliographic Details
Main Authors: Wu T, Qi X, Su Y, Teng J, Xu X
Format: Article
Language:English
Published: Dove Medical Press 2016-01-01
Series:Neuropsychiatric Disease and Treatment
Subjects:
Online Access:https://www.dovepress.com/electroencephalogram-characteristics-in-patients-with-chronic-fatigue--peer-reviewed-article-NDT
id doaj-6b534fdb6d8a469e8c54dc801ff04bdc
record_format Article
spelling doaj-6b534fdb6d8a469e8c54dc801ff04bdc2020-11-24T22:05:08ZengDove Medical PressNeuropsychiatric Disease and Treatment1178-20212016-01-012016Issue 124124925430Electroencephalogram characteristics in patients with chronic fatigue syndromeWu TQi XSu YTeng JXu XTong 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 analysishttps://www.dovepress.com/electroencephalogram-characteristics-in-patients-with-chronic-fatigue--peer-reviewed-article-NDTchronic fatigue syndromebrain electrical activity mappingnonlinear dynamics analysis
collection DOAJ
language English
format Article
sources DOAJ
author Wu T
Qi X
Su Y
Teng J
Xu X
spellingShingle Wu T
Qi X
Su Y
Teng J
Xu X
Electroencephalogram characteristics in patients with chronic fatigue syndrome
Neuropsychiatric Disease and Treatment
chronic fatigue syndrome
brain electrical activity mapping
nonlinear dynamics analysis
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
series Neuropsychiatric Disease and Treatment
issn 1178-2021
publishDate 2016-01-01
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
topic chronic fatigue syndrome
brain electrical activity mapping
nonlinear dynamics analysis
url https://www.dovepress.com/electroencephalogram-characteristics-in-patients-with-chronic-fatigue--peer-reviewed-article-NDT
work_keys_str_mv AT wut electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
AT qix electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
AT suy electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
AT tengj electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
AT xux electroencephalogramcharacteristicsinpatientswithchronicfatiguesyndrome
_version_ 1725827220174274560