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

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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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Acknowledgements

This study was funded by grants from the Tianjin Municipal Natural Science Foundation (Grant No. 19JCQNJC01200).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China

    Guosheng Yi, Liufang Wang, Chunguang Chu, Chen Liu & Jiang Wang

  2. Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China

    Xiaodong Zhu, Xiao Shen, Zhen Li & Fei Wang

  3. Department of Neurology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, Henan, 471000, China

    Manyi Yang

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  1. Guosheng Yi
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  2. Liufang Wang
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  3. Chunguang Chu
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  4. Chen Liu
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  5. Xiaodong Zhu
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  10. Jiang Wang
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Correspondence to Jiang Wang.

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Yi, G., Wang, L., Chu, C. et al. Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson’s disease patients with mild cognitive impairment. Cogn Neurodyn 16, 309–323 (2022). https://doi.org/10.1007/s11571-021-09722-w

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  • DOI: https://doi.org/10.1007/s11571-021-09722-w

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