Multi-channel Synchronization Analysis of Mild Cognitive Impairment in Type 2 Diabetes Patients_Journal of Biomedical Engineering

Authors：

CUIDong ¹ , LIUJing ¹ , BIANZhijie ² , WANGJinhuan ¹ , LIQiuli ³ , LIXiaoli ² ,  WANGLei ³

1. Institute of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China;
2. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;
3. Department of Neurology, The No.2 Artillery General Hospital, Beijing 100088, China;

Corresponding author：

WANGLei, Email: hellowanglei68@163.com

Keywords：

type 2 diabetes; mild cognitive impairment; multi-channel synchronization; phase synchronization; S estimator

DOI：

10.7507/1001-5515.20150051

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The cognitive impairment of type 2 diabetes patients caused by long-term metabolic disorders has been the current focus of attention. In order to find the related electroencephalogram (EEG) characteristics to the mild cognitive impairment (MCI) of diabetes patients, this study analyses the EEG synchronization with the method of multi-channel synchronization analysis--S estimator based on phase synchronization. The results showed that the S estimator values in each frequency band of diabetes patients with MCI were almost lower than that of control group. Especially, the S estimator values decreased significantly in the delta and alpha band, which indicated the EEG synchronization decrease. The MoCA scores and S value had a significant positive correlation in alpha band.

Citation： CUIDong, LIUJing, BIANZhijie, WANGJinhuan, LIQiuli, LIXiaoli, WANGLei. Multi-channel Synchronization Analysis of Mild Cognitive Impairment in Type 2 Diabetes Patients. Journal of Biomedical Engineering, 2015, 32(2): 279-283. doi: 10.7507/1001-5515.20150051 Copy

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12.	BRISMAR T. The human EEG-physiological and clinical studies[J]. Physiol Behav, 2007, 92(1-2):141-147.
13.	JEONG J. EEG dynamics in patients with Alzheimer's disease[J]. Clin Neurophysiol, 2004, 115(7):1490-1505.
14.	LEE S H, PARK Y M, KIM D W, et al. Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease[J]. Neurosci Res, 2010, 66(4):333-339.
15.	PARK Y M, CHE H J, IM C H, et al. Decreased EEG synchronization and its correlation with symptom severity in Alzheimer's disease[J]. Neurosci Res, 2008, 62(2):112-117.
16.	KNYAZEVA M G, JALILI M, BRIOSCHI A, et al. Topography of EEG multivariate phase synchronization in early Alzheimer's disease[J]. Neurobiol Aging, 2010, 31(7):1132-1144.
17.	BABILONI C, VISSER P J, FRISONI G, et al. Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint[J]. Neurobiol Aging, 2010, 31(10):1787-1798.
18.	CARMELI C, KNYAZEVA M G, INNOCENTI G M, et al. Assessment of EEG synchronization based on state-space analysis[J]. Neuroimage, 2005, 25(2):339-354.
19.	BOCCALETTI S, KURTHS J, OSIPOV G, et al. The synchronization of chaotic systems[J]. Phys Rep, 2002, 366(1-2):1-101.
20.	QUIROGA R Q, KRASKOV A, KREUZ T, et al. Performance of different synchronization measures in real data:a case study on electro-encephalographic signals[J]. Phys Rev E, 2002, 65(4 Pt 1):041903.

1. 陈蕊华, 蒋晓真, 赵晓晖, 等.2型糖尿病患者轻度认知功能障碍的危险因素分析[J].中国全科医学, 2012, 15(24):2758-2761.
2. 李敏, 张丽, 王敏哲.老年2型糖尿病与轻度认知功能障碍的关系研究[J].中国全科医学, 2011, 14(14):1537-1539.
3. CUKIERMAN T, GERSTEIN H C, WILLIAMSON J D. Cognitive decline and dementia in diabetes--systematic overview of prospective observational studies[J]. Diabetologia, 2005, 48(12):2460-2469.
4. D'AMELIO M, ROSSINI P M.Brain excitability and connectivity of neuronal assemblies in Alzheimer's disease:From animal models to human findings[J].Progr Neurobiol, 2012, 99(1):42-60.
5. DAVATZIKOS C, BHATT P, SHAW L M, et al. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification[J]. Neurobiol Aging, 2011, 32(12):2322.e19-2322.e27.
6. LUCHSINGER J A, REITZ C, PATEL B, et al. Relation of diabetes to mild cognitive impairment[J]. Arch Neurol, 2007, 64(4):570-575.
7. Ebady S A, Arami M A, Shafigh M H. Investigation on the relationship between diabetes mellitus type 2 and cognitive impairment[J]. Diabetes Res Clin Pract, 2008, 82(3):305-309.
8. ALLEFELD C, KURTHS J. An approach to multivariate phase synchronization analysis and its application to event-related potentials:Synchronization Cluster Analysis[J]. Int J Bifurcation Chaos, 2004, 14(2):417-426.
9. FLORIN E, GROSS J, PFEIFER J, et al. The effect of filtering on Granger causality based multivariate causality measures[J]. Neuroimage, 2010, 50(2):577-588.
10. BABILONI C, FERRI R, BINETTI G, et al. Directionality of EEG synchronization in Alzheimer's disease subjects[J]. Neurobiol Aging, 2009, 30(1):93-102.
11. DAUWELS J, VIALATTE F, MUSHA T, et al. A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG[J]. Neuroimage, 2010, 49(1):668-693.
12. BRISMAR T. The human EEG-physiological and clinical studies[J]. Physiol Behav, 2007, 92(1-2):141-147.
13. JEONG J. EEG dynamics in patients with Alzheimer's disease[J]. Clin Neurophysiol, 2004, 115(7):1490-1505.
14. LEE S H, PARK Y M, KIM D W, et al. Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease[J]. Neurosci Res, 2010, 66(4):333-339.
15. PARK Y M, CHE H J, IM C H, et al. Decreased EEG synchronization and its correlation with symptom severity in Alzheimer's disease[J]. Neurosci Res, 2008, 62(2):112-117.
16. KNYAZEVA M G, JALILI M, BRIOSCHI A, et al. Topography of EEG multivariate phase synchronization in early Alzheimer's disease[J]. Neurobiol Aging, 2010, 31(7):1132-1144.
17. BABILONI C, VISSER P J, FRISONI G, et al. Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint[J]. Neurobiol Aging, 2010, 31(10):1787-1798.
18. CARMELI C, KNYAZEVA M G, INNOCENTI G M, et al. Assessment of EEG synchronization based on state-space analysis[J]. Neuroimage, 2005, 25(2):339-354.
19. BOCCALETTI S, KURTHS J, OSIPOV G, et al. The synchronization of chaotic systems[J]. Phys Rep, 2002, 366(1-2):1-101.
20. QUIROGA R Q, KRASKOV A, KREUZ T, et al. Performance of different synchronization measures in real data:a case study on electro-encephalographic signals[J]. Phys Rev E, 2002, 65(4 Pt 1):041903.

Journal of Biomedical Engineering

Multi-channel Synchronization Analysis of Mild Cognitive Impairment in Type 2 Diabetes Patients

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