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Dynamic functional connectivity MRI analysis in brain network research of the Alzheimer's disease spectrum
HOU Junbao  SHI Qiye  PENG Xiaohan  XU Ziqi  WANG Yang  CAO Danna 

Cite this article as: HOU J B, SHI Q Y, PENG X H, et al. Dynamic functional connectivity MRI analysis in brain network research of the Alzheimer’s disease spectrum[J]. Chin J Magn Reson Imaging, 2025, 16(1): 181-186. DOI:10.12015/issn.1674-8034.2025.01.029.


[Abstract] Dynamic functional connectivity (dFC) is an advanced method for analyzing functional connectivity in magnetic resonance imaging (MRI), playing a significant role in the study of brain networks in cognitive disorders. Conventional functional connectivity analysis often overlooks the time-varying properties of connectivity, leading to underutilization of imaging data rich in temporal information. Brain networks constructed based on dFC incorporate these temporal features, offering more precise imaging biomarkers for clinical research and serving as novel quantitative indices for predicting disease progression. This paper provides a comprehensive review and discussion of recent domestic and international developments in dFC analysis within the Alzheimer's disease (AD) spectrum. The findings suggest that dFC analysis of regions such as the hippocampus, precuneus, and inferior frontal gyrus holds great potential for deepening our understanding of AD pathogenesis, offering a more reliable imaging-based theoretical framework for explaining the longitudinal progression of AD. Using dFC as a central theme, this review explores current advancements and future directions in the study of the AD spectrum, providing new insights for future neuroimaging research on AD.
[Keywords] dynamic functional connectivity；brain network；functional magnetic resonance imaging；Alzheimer's disease；mild cognitive impairment；subjective cognitive decline

HOU Junbao1   SHI Qiye1   PENG Xiaohan1   XU Ziqi1   WANG Yang2   CAO Danna2*  

1 Graduate School of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

2 Department of CT & MR, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

Corresponding author: CAO D N, E-mail: hljanna@126.com

Conflicts of interest   None.

Received  2024-10-11
Accepted  2025-01-10
DOI: 10.12015/issn.1674-8034.2025.01.029
Cite this article as: HOU J B, SHI Q Y, PENG X H, et al. Dynamic functional connectivity MRI analysis in brain network research of the Alzheimer’s disease spectrum[J]. Chin J Magn Reson Imaging, 2025, 16(1): 181-186. DOI:10.12015/issn.1674-8034.2025.01.029.

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