[1]沈逸凡,宁瑞鹏,李任任,等.基于多模态磁共振成像探讨阿尔茨海默症和轻度认知障碍的功能-结构共变模式[J].中国医学物理学杂志,2025,42(10):1298-1305.[doi:DOI:10.3969/j.issn.1005-202X.2025.10.006]
　SHEN Yifan,NING Ruipeng,et al.Exploring function-structure covariant patterns in Alzheimers disease and mild cognitive impairment based on multimodal magnetic resonance imaging[J].Chinese Journal of Medical Physics,2025,42(10):1298-1305.[doi:DOI:10.3969/j.issn.1005-202X.2025.10.006]
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基于多模态磁共振成像探讨阿尔茨海默症和轻度认知障碍的功能-结构共变模式()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
42
期数:
2025年第10期
页码:
1298-1305
栏目:
医学影像物理
出版日期:
2025-10-29

文章信息/Info

Title:
Exploring function-structure covariant patterns in Alzheimers disease and mild cognitive impairment based on multimodal magnetic resonance imaging
文章编号:
1005-202X（2025）10-1298-08
作者:
沈逸凡1; 2; 宁瑞鹏1; 2; 李任任3; 4; 潘晨曦3; 4; 张卫3; 4; 李哲宇1; 2; 徐志豪1; 2; 余秋蓉5; 6; 尹大志7; 8; 李云霞3; 4; 范明霞1; 2
1.华东师范大学物理与电子科学学院上海市磁共振重点实验室， 上海 200062； 2.华东师范大学医学磁共振与分子影像技术研究院， 上海 200062； 3.复旦大学附属浦东医院神经内科， 上海 201399； 4.同济大学医学院附属同济医院神经内科， 上海 200092； 5.上海交通大学医学院附属瑞金医院放射科， 上海 200025； 6.上海交通大学医学院医学技术学院， 上海 200025； 7.华东师范大学心理与认知科学学院， 上海 200062； 8.上海市长宁区精神卫生中心， 上海 200335
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
关键词:
阿尔茨海默症; 轻度认知障碍; 共变模式; 多模态融合; 磁共振成像
Keywords:
Keywords: Alzheimers disease mild cognitive impairment covariant pattern multimodal fusion magnetic resonance imaging
分类号:
R318；R749.16
DOI:
DOI:10.3969/j.issn.1005-202X.2025.10.006
文献标志码:
A
摘要:
目的：探究阿尔茨海默症（AD）和轻度认知障碍（MCI）的功能-结构共变模式及其与认知功能和日常生活活动能力的关系。方法：收集31名AD组患者、48名MCI组患者及34名健康对照者（HC）的静息态功能磁共振成像、T1加权结构像和弥散张量成像数据。利用多模态融合分析（three‐way pGICA），识别静息态功能时序数据、灰质密度图和各向异性分数图（FA）的共变模式并比较组间差异，进一步分析与蒙特利尔认知评估基础量表（MoCA_B）和日常生活活动能力（ADL）的相关性。结果：AD和MCI的功能-结构共变模式表现为：左侧后突显网络和右侧默认模式网络之间负功能连接增强、双侧背外侧前额叶灰质密度下降及左侧上放射冠FA值降低（相关性P<0.001，FDR校正）。与HC组相比，AD组的共变模式均显著异常（P<0.01，FDR校正）；MCI组仅双侧背外侧前额叶灰质密度显著下降（P<0.05，FDR校正）。与MCI组相比，AD组左侧上放射冠的FA值显著降低（P<0.05，FDR校正）。反映共变程度的载荷因子与MoCA_B评分无显著相关，与ADL评分显著相关（P<0.05，FDR校正）。结论：AD和MCI的功能-结构共变模式与患者日常生活活动能力下降具有一致性。多模态融合分析方法为理解MCI和AD共变演进的脑损伤机制提供了一种新途径。
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.

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备注/Memo

备注/Memo:
【收稿日期】2025-03-21 【基金项目】国家自然科学基金（32271096）；上海市卫健委新兴交叉领域研究专项（2022JC018）；上海市科委科技创新行动计划（22Y11903500）；上海市申康医院发展中心临床科技创新新兴前沿项目（SHDC12021110） 【作者简介】沈逸凡，硕士研究生，主要研究方向：磁共振成像及应用，E-mail: yfshenecnu@outlook.com 【通信作者】范明霞，博士，副教授，研究方向：磁共振成像及应用，E-mail: mxfan@phy.ecnu.edu.cn
更新日期/Last Update: 2025-10-29