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12-09-2021 | Research Article

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

Authors: Guosheng Yi, Liufang Wang, Chunguang Chu, Chen Liu, Xiaodong Zhu, Xiao Shen, Zhen Li, Fei Wang, Manyi Yang, Jiang Wang

Published in: Cognitive Neurodynamics | Issue 2/2022

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Abstract

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.

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Title: Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson’s disease patients with mild cognitive impairment
Authors: Guosheng Yi
Liufang Wang
Chunguang Chu
Chen Liu
Xiaodong Zhu
Xiao Shen
Zhen Li
Fei Wang
Manyi Yang
Jiang Wang
Publication date: 12-09-2021
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 2/2022
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-021-09722-w

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