Electroencephalogram characteristics in patients with chronic fatigue syndrome
Authors Wu T, Qi X, Su Y, Teng J, Xu X
Received 22 July 2015
Accepted for publication 18 November 2015
Published 28 January 2016 Volume 2016:12 Pages 241—249
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Wai Kwong Tang
Tong Wu,1 Xianghua Qi,1 Yuan Su,2 Jing Teng,1 Xiangqing Xu1
1Internal 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 China
Objective: 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
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