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Research progress of resting-state fMRI functional network connectivity in Alzheimer's disease
ZHANG Tianyi  PAN Junlong  MA Qianbo  WANG Tao  YU Chengxin 

Cite this article as ZHANG T Y, PAN J L, MA Q B, et al. Research progress of resting-state fMRI functional network connectivity in Alzheimer's disease[J]. Chin J Magn Reson Imaging, 2026, 17(6): 147-154. DOI:10.12015/issn.1674-8034.2026.06.019.


[Abstract] Alzheimer's disease (AD) is characterized not only by localized structural atrophy of the brain parenchyma, but more fundamentally, as a neurodegenerative disorder driven by the progressive deterioration of large-scale whole-brain functional network topological dynamics. As a non-invasive neuroimaging technique, resting-state functional magnetic resonance imaging (rs-fMRI) has evolved from the early localization of regional brain activity to the systematic quantification of whole-brain functional network connectivity (FNC). Recent studies indicate that the functional networks of AD patients exhibit highly stage-specific alterations, and the dedifferentiation of network topological properties alongside the degradation of core subcortical hubs precede significant clinical cognitive decline. This review systematically summarizes cutting-edge developments in rs-fMRI within the AD continuum, identifies existing research gaps, and highlights future perspectives to support precision diagnosis and individualized intervention for AD.
[Keywords] Alzheimer's disease；resting-state functional magnetic resonance imaging；magnetic resonance imaging；brain network；functional connectivity；graph theory；dynamic functional connectivity

ZHANG Tianyi1, 2   PAN Junlong1, 2*   MA Qianbo1, 2   WANG Tao1, 2   YU Chengxin1, 2  

1 The First College of Clinical Medical Science, China Three Gorges University, Yichang 443000, China

2 Department of Radiology, Yichang Central People's Hospital, Yichang 443000, China

Corresponding author: PAN J L, E-mail: pjl0083@126.com

Conflicts of interest   None.

Received  2026-01-13
Accepted  2026-05-25
DOI: 10.12015/issn.1674-8034.2026.06.019
Cite this article as ZHANG T Y, PAN J L, MA Q B, et al. Research progress of resting-state fMRI functional network connectivity in Alzheimer's disease[J]. Chin J Magn Reson Imaging, 2026, 17(6): 147-154. DOI:10.12015/issn.1674-8034.2026.06.019.

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