Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson’s disease patients with mild cognitive impairment

被引:0
作者
Guosheng Yi
Liufang Wang
Chunguang Chu
Chen Liu
Xiaodong Zhu
Xiao Shen
Zhen Li
Fei Wang
Manyi Yang
Jiang Wang
机构
[1] Tianjin University,School of Electrical and Information Engineering
[2] Tianjin Medical University General Hospital,Department of Neurology, Tianjin Neurological Institute
[3] Luoyang Central Hospital Affiliated to Zhengzhou University,Department of Neurology
来源
Cognitive Neurodynamics | 2022年 / 16卷
关键词
Complexity; Dynamic functional network; Mild cognitive impairment; Parkinson; Temporal variability;
D O I
暂无
中图分类号
学科分类号
摘要
To explore the abnormal brain activity of early Parkinson’s disease with mild cognitive impairment (ePD-MCI) patients, the study analyzed the dynamic fluctuation of electroencephalogram (EEG) signals and the dynamic change of information communication between EEG signals of ePD-MCI patients. In this study, we recorded resting-state EEG signals of 30 ePD-MCI patients and 37 early Parkinson’s disease without mild cognitive impairment (ePD-nMCI) patients. First, we analyzed the difference of the complexity of EEG signals between the two groups. And we found that the complexity in the ePD-MCI group was significantly higher than that in the ePD-nMCI group. Then, by analyzing the dynamic functional network (DFN) topology based on the optimal sliding-window, we found that the temporal correlation coefficients of ePD-MCI patients were lower in the delta and theta bands than those in the ePD-nMCI patients. The temporal characteristic path length of ePD-MCI patients in the alpha band was higher than that of ePD-nMCI patients. In the theta and alpha bands, the temporal small world degrees of ePD-MCI patients were lower than that of patients with ePD-nMCI. In addition, the functional connectivity strength of ePD-MCI patients affected by cognitive impairment was weaker than that of ePD-nMCI patients, and the stability of dynamic functional connectivity network was decreased. This finding may serve as a biomarker to identify ePD-MCI and contribute to the early intervention treatment of ePD-MCI.
引用
收藏
页码:309 / 323
页数:14
相关论文
共 158 条
[91]  
Duyn JH(undefined)undefined undefined undefined undefined-undefined
[92]  
Lopes R(undefined)undefined undefined undefined undefined-undefined
[93]  
Delmaire C(undefined)undefined undefined undefined undefined-undefined
[94]  
De Febvre L(undefined)undefined undefined undefined undefined-undefined
[95]  
Ma CL(undefined)undefined undefined undefined undefined-undefined
[96]  
Su L(undefined)undefined undefined undefined undefined-undefined
[97]  
Xie JJ(undefined)undefined undefined undefined undefined-undefined
[98]  
Majeed W(undefined)undefined undefined undefined undefined-undefined
[99]  
Magnuson M(undefined)undefined undefined undefined undefined-undefined
[100]  
Hasenkamp W(undefined)undefined undefined undefined undefined-undefined