轻度认知功能障碍高低阶耦合网络特征分析

doi:10.3969/j.issn.1000-1158.2025.02.18

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Abstract For the problem of abnormal brain functional connectivity in patients with mild cognitive impairment （MCI）， a new method of constructing high- and low-order coupled brain functional networks was proposed. Based on Pearson's correlation， the higher-order coupling network between brain regions was constructed on the basis of analyzing the functional correlation and synchronization of different brain regions， and important brain functional network feature markers such as high- and low-order coupling network characteristics， small-world properties， rich-club coefficients， and the stability of the network were analyzed. The results of the study showed that compared with the Alzheimer's disease （AD） control group， the delta frequency band of the MCI group had a significant decrease in its brain network connectivity connection strength， global efficiency and clustering coefficient （P<0.05）. Analyzing the core nodes of the functional network found that both AD and MCI groups had fewer core nodes than the normal （HC） group under each network， the core nodes of the MCI group were mainly distributed in the prefrontal lobe， and the core nodes of AD were mainly distributed in the parietal and occipital lobe， and the core node vulnerability of the AD group was significantly higher （P<0.05） compared to the HC group in the beta and delta frequency bands， whereas the core node vulnerability of the MCI group was significantly higher （P<0.05） than the normal （HC） group in the beta and theta bands， the core node susceptibility of MCI group was significantly larger than that of HC group （P<0.05）. The above results suggest that the high- and low-order coupled network features can effectively express the functional state of the brain in mild cognitive impairment， which will be helpful for the early diagnosis of mild cognitive impairment.

Key words： biometrology MCI functional brain networks high and low order coupling rich-club medium centrality measurement

Received: 14 March 2024 Published: 04 March 2025

PACS:	TB99
	TB973

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	Articles by authors
	ZHEN Haoyan
	XU Jiasen
	LI Zipeng
	LI Xin

Cite this article:

ZHEN Haoyan,XU Jiasen,LI Zipeng, et al. Characteristics of High and Low Order Coupled Networks in Mild Cognitive Dysfunction[J]. Acta Metrologica Sinica, 2025, 46(2): 287-297.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2025.02.18 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2025/V46/I2/287

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