Multi-Scale Recurrence Plot Based EEG Signal Analysis of Diabetes Mellitus and Mild Cognitive Impairment
Gu Guanghua1, Lou Chunyang1, Cui Dong1*, Hou Junbo1, Li Zhaohui1, Li Xiaoli2, Yin Shimin3, Wang Lei3
1 Hebei Key Laboratory of Information Transmission and Signal Processing, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; 2 State Key Laboratory of Cognitive Neuroscience and Learning ＆ IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; 3 Department of Neurology, The Rocket Force Special Medical Center, Beijing 100088, China
Abstract Studying the EEG characteristics in mild cognitive impairment (MCI) of diabetes is helpful to the early prevention and diagnosis of the disease. Based on the multi-scale recurrence plot. We analyzed the deterministic characteristics of 15-electrode eye-closed resting state EEG of 14 patients with mild diabetes mellitus MCI(DM-MCI) and 11 patients with normal cognitive function of diabetes mellitus(DM-nMCI), and 16 patients with mild cognitive impairment without diabetes mellitus(nDM-MCI) and 10 patients with normal cognitive function without diabetes mellitus (nDM-nMCI). Deterministic values between the four groups were statistically analyzed using one-way ANOVA, and the correlations between deterministic values and cognitive function of each electrode were calculated by Pearson correlation method. The results showed that at small scale1≤s≤4, the values of DET in patients with nDM-MCI and nDM-nMCI were significantly higher than those with DM-MCI and DM-nMCI; At large scale12≤s≤15, four groups of DET values tend to be consistent. The deterministic values of all electrodes at different scales in the DM-MCI group were higher DM-nMCI group. The deterministic values of MCI at C3 (DM-MCI: 0.83±0.09, nDM-MCI: 0.86±0.09) and C4(DM-MCI: 0.85±0.08, nDM-MCI: 0.88±0.08) electrodes increased significantly at different scales, which were important characteristics in distinguishing MCI and their correlations between DET and neuropsychological test scores Boston (P=0.033), FAQ (P=0.026), WAIS (P=0.037), and MoCA (P=0.039, P=0.017) was significant. The DET values of Fp1 (DM-MCI: 0.80±0.09, DM-nMCI: 0.75±0.07), Fp2(DM-MCI: 0.80±0.09, DM-nMCI: 0.75±0.01) and Oz (DM-MCI: 0.76±0.06, DM-nMCI: 0.73±0.07) at small scale, and Fp2 (DM-MCI: 0.96±0.03, DM-nMCI: 0.94±0.01) at big scale increased significantly, which are the important characteristics in distinguishing DM. It was suggested that the determinacy based on multi-scale order recurrence plot was the EEG feature associated with cognitive decline and DM.
Gu Guanghua,Lou Chunyang,Cui Dong, et al. Multi-Scale Recurrence Plot Based EEG Signal Analysis of Diabetes Mellitus and Mild Cognitive Impairment[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 311-317.
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