基于MRI分析阿尔茨海默病大尺度脑网络研究进展

doi:10.3969/j.issn.1006-5725.2024.04.024

Abstract

Abstract:

With the advent of an aging society，Alzheimer′s disease （AD） has gradually become a major ailment affecting the elderly. AD is a neurodegenerative disorder associated with cognitive impairments. In AD patients， brain network connections are disrupted， and their topological properties are also affected， leading to the disintegration of anatomical and functional connections. Anatomical connections can be tracked and evaluated using structural magnetic imaging（MRI） and diffusion tensor imaging（DTI）， while functional connections are detected through functional MRI to assess their connectivity status. This review incorporates the findings of previous scholars and summarizes the current research of AD. It mainly discusses the imaging characteristics of large-scale brain network changes in AD patients， so as to provide researchers with scientific and objective imaging markers for AD prediction and early diagnosis， as well as future research.

Key words: Alzheimer′s disease, brain network, functional magnetic resonance imaging, functional connectivity, small world attributes

CLC Number:

R338.2

Yingmei HAN,Yijie LI,Heng ZHANG,Jing LV,Yi ZHANG,Yingbo QIAO,Nan LIN,Huiyong XU,Feng. WANG. Research progress of large-scale brain network of Alzheimer’s disease based on MRI analysis[J]. The Journal of Practical Medicine, 2024, 40(4): 575-579.

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Research progress of large-scale brain network of Alzheimer’s disease based on MRI analysis

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