System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
526-532

Frequency and cluster analysis of functional connectivity in mild cognitive impairment

Bao Hana
Wu Haifenga,b
Yan Jiea
Zeng Yua,b
a. School of Electrical & Information Engineering, b. Intelligent Sensor Network & Information System & Technology Innovation Team in University of Yunnan Province, Yunnan Minzu University, Kunming 650504, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0336

Abstract

Traditional methods for calculating functional connectivity(FC) pay less attention to the corresponding frequency information, and the physiological significance of the obtained clusters is controversial. Therefore, this paper proposed a wavelet coherent clustering method. Firstly, it used wavelet coherence to study the frequency, phase synchronization and time synchronization information of FC. Secondly, it defined four types to clarify the physiological meaning of clusters. Finally, it used the method of combining K-means and Euclidean distance judgment to find differences of clusters between MCI and normal controls(NC). The experimental results show that the maximum frequency in type2 is about 0.11 Hz, the maximum time synchronization is about 46.33 ms, the maximum frequency in type1 is about 0.08 Hz, and the maximum time synchronization is about 67.01 ms. The frequency band, phase synchronization and time synchronization between the two are about 0.02 Hz and 0.49 rad and 20 ms respectively. The analysis show that MCI subjects have more small phase synchronization and time synchronization when the coherence value is larger, which occurrs in the higher frequency bands slow4-3 and slow4-4; NC subjects have more large phase synchronization and time synchronization, which occurs in the lower frequency bands slow4-1 and slow4-2.

Foundation Support

国家自然科学基金资助项目(62161052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0336
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: System Development & Application
Pages: 526-532
Serial Number: 1001-3695(2023)02-035-0526-07

Publish History

[2022-09-21] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

保涵, 吴海锋, 晏洁, 等. 轻度认知障碍功能连接的频率和聚类分析 [J]. 计算机应用研究, 2023, 40 (2): 526-532. (Bao Han, Wu Haifeng, Yan Jie, et al. Frequency and cluster analysis of functional connectivity in mild cognitive impairment [J]. Application Research of Computers, 2023, 40 (2): 526-532. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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