Exploring function-structure covariant patterns in Alzheimers disease and mild cognitive impairment based on multimodal magnetic resonance imaging(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2025年第10期
- Page:
- 1298-1305
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Exploring function-structure covariant patterns in Alzheimers disease and mild cognitive impairment based on multimodal magnetic resonance imaging
- Author(s):
- SHEN Yifan1; 2; NING Ruipeng1; 2; LI Renren3; 4; PAN Chenxi3; 4; ZHANG Wei3; 4; LI Zheyu1; 2; XU Zhihao1; 2; YU Qiurong5; 6; YIN Dazhi7; 8; LI Yunxia3; 4; FAN Mingxia1; 2
- 1. Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China 2. Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University, Shanghai 200062, China 3. Department of Neurology, Fudan University Pudong Medical Center, Shanghai 201399, China 4. Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China 5. Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China 6. College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China 7. School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China 8. Shanghai Changning Mental Health Center, Shanghai 200335, China
- Keywords:
- Keywords: Alzheimers disease mild cognitive impairment covariant pattern multimodal fusion magnetic resonance imaging
- PACS:
- R318；R749.16
- DOI:
- DOI:10.3969/j.issn.1005-202X.2025.10.006
- Abstract:
- Abstract: Objective To explore function-structure covariant patterns in Alzheimers disease (AD) and mild cognitive impairment (MCI), and to investigate their associations with cognitive function and activities of daily living. Methods Resting-state functional magnetic resonance imaging (MRI), T1-weighted structural MRI, and diffusion tensor imaging data were collected from 31 AD patients, 48 MCI patients, and 34 healthy controls (HC). A multimodal fusion analysis, namely three-way parallel group independent component analysis (three-way pGICA), was used to identify the covariant patterns of resting-state functional MRI temporal data, gray matter density maps, and fractional anisotropy (FA) maps, and the differences between different groups were compared. Furthermore, the associations of covariant patterns with the Montreal Cognitive Assessment-Basic (MoCA_B) Scale scores and Activities of Daily Living Scale scores were analyzed. Results The function-structure covariant patterns in AD and MCI were characterized by the enhanced negative functional connectivity between the left posterior salience network and the right default mode network, the decreased gray matter density in the bilateral dorsolateral prefrontal cortex, and the reduced FA values in the left superior corona radiata (correlations: P<0.001, FDR corrected). Compared with HC group, AD group showed significant abnormalities in all identified covariant patterns (P<0.01, FDR corrected), but MCI group only exhibited a significant decrease in gray matter density in the bilateral dorsolateral prefrontal cortex (P<0.05, FDR corrected). Additionally, AD group had significantly lower FA value in the left superior corona radiata than MCI group (P<0.05, FDR corrected). The loadings reflecting the degree of covariation were significantly correlated with the Activities of Daily Living Scale scores (P<0.05, FDR corrected) but not with MoCA_B Scale scores. Conclusion The function-structure covariant patterns in AD and MCI are consistent with the declines in activities of daily living. The multimodal fusion analysis (three-way pGICA) provides a novel approach to understand the brain damage mechanisms underlying the covariant evolution of MCI and AD.
Last Update: 2025-10-29