Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1094-1103

Graph theory network construction method and classification of high-order dynamic functional connections in MCI patients

Wang Xiaa,b
Wang Yonga
Wu Haifenga,b
Zhang Shana
Wang Zhuorana
a. School of Electrical & Information Technology, b. Intelligent Senor Network & Information System Innovative Research Team in Science & Technology in University of Yunnan Province, Yunnan Minzu University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2023.09.0367

Abstract

The application of graph theory to low-order brain networks ignores the high-order dynamics of functional connections. To address these issues, this paper proposed a graph-theoretic network construction method based on high-order dynamic functional connectivity(GNC-HodFC), to analyze and classify the difference between patients with mild cognitive impairment and healthy subjects by extracting the graph theory features of higher-order FC network. Firstly, the algorithm defined graph theoretic nodes and edges that represented high-order dynamic brain network connections. Then, the algorithm used sliding window technology to extract low-order functional connection information, and put forward the stability criterion for selecting the optimal feature subset to build graph nodes. Finally, the algorithm proposed adaptive threshold strategy selection of high order dynamic functional connection information so as to build the edge of graph theory, which completed the graph construction of the higher-order dynamic brain network. The experimental results show that the average classification accuracy of GNC-HodFC is 70.5%, which is better than the other three comparison methods, and there are significant differences in the graph theory characteristics between the patient group and the healthy group. GNC-HodFC method can provide a new auxiliary means for the diagnosis of mild cognitive impairment.

Foundation Support

云南省科技厅面上项目(202201AT070021)
云南省教育厅科学研究基金资助项目(2022J0439)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0367
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Algorithm Research & Explore
Pages: 1094-1103
Serial Number: 1001-3695(2024)04-020-1094-10

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

王霞, 王勇, 吴海锋, 等. MCI患者高阶动态功能连接的图论网络构建方法及分类 [J]. 计算机应用研究, 2024, 41 (4): 1094-1103. (Wang Xia, Wang Yong, Wu Haifeng, et al. Graph theory network construction method and classification of high-order dynamic functional connections in MCI patients [J]. Application Research of Computers, 2024, 41 (4): 1094-1103. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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