Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin, 300222 China ; Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083 China.
School of Electrical and Automation Engineering, Tianjin University, No. 92 Weijin Road, Tianjin, 300072 China.
Cogn Neurodyn. 2013 Aug;7(4):351-9. doi: 10.1007/s11571-013-9247-z. Epub 2013 Feb 10.
The objective of the present study was to investigate brain activity abnormalities in the early stage of Parkinson's disease (PD). To achieve this goal, eyes-closed resting state electroencephalography (EEG) signals were recorded from 15 early-stage PD patients and 15 age-matched healthy controls. The AR Burg method and the wavelet packet entropy (WPE) method were used to characterize EEG signals in different frequency bands between the groups, respectively. In the case of the AR Burg method, an increase of relative powers in the δ- and θ-band, and a decrease of relative powers in the α- and β-band were observed for patients compared with controls. For the WPE method, EEG signals from patients showed significant higher entropy over the global frequency domain. Furthermore, WPE in the γ-band of patients was higher than that of controls, while WPE in the δ-, θ-, α- and β-band were all lower. All of these changes in EEG dynamics may represent early signs of cortical dysfunction, which have potential use as biomarkers of PD in the early stage. Our findings may be further used for early intervention and early diagnosis of PD.
本研究旨在探究帕金森病(PD)早期的大脑活动异常。为此,对 15 名早期 PD 患者和 15 名年龄匹配的健康对照者进行了闭眼静息态脑电图(EEG)信号记录。分别采用 AR Burg 法和小波包熵(WPE)法对两组不同频带的 EEG 信号进行特征化描述。AR Burg 法的结果显示,与对照组相比,患者的 δ-和 θ-频段的相对功率增加,而 α-和 β-频段的相对功率降低。对于 WPE 方法,患者的 EEG 信号在整个频域上表现出显著更高的熵值。此外,患者的 γ 频段的 WPE 高于对照组,而 δ-、θ-、α-和 β-频段的 WPE 均较低。这些 EEG 动力学的变化可能代表皮质功能障碍的早期迹象,可作为 PD 早期的生物标志物。我们的发现可进一步用于 PD 的早期干预和早期诊断。