Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts

IF 3.3 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2025-02-05 DOI:10.1002/hbm.70089
Baptiste Couvy-Duchesne, Vincent Frouin, Vincent Bouteloup, Nikitas Koussis, Julia Sidorenko, Jiyang Jiang, Alle Meije Wink, Luigi Lorenzini, Frederik Barkhof, Julian N. Trollor, Jean-François Mangin, Perminder S. Sachdev, Henry Brodaty, Michelle K. Lupton, Michael Breakspear, Olivier Colliot, Peter M. Visscher, Naomi R. Wray, for the Alzheimer's Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing, the Alzheimer's Disease Repository Without Borders Investigators, the MEMENTO cohort Study Group
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Abstract

Alzheimer's disease (AD) brain markers are needed to select people with early-stage AD for clinical trials and as quantitative endpoint measures in trials. Using 10 clinical cohorts (N = 9140) and the community volunteer UK Biobank (N = 37,664) we performed region of interest (ROI) and vertex-wise analyses of grey-matter structure (thickness, surface area and volume). We identified 94 trait-ROI significant associations, and 307 distinct cluster of vertex-associations, which partly overlap the ROI associations. For AD versus controls, smaller hippocampus, amygdala and of the medial temporal lobe (fusiform and parahippocampal gyri) was confirmed and the vertex-wise results provided unprecedented localisation of some of the associated region. We replicated AD associated differences in several subcortical (putamen, accumbens) and cortical regions (inferior parietal, postcentral, middle temporal, transverse temporal, inferior temporal, paracentral, superior frontal). These grey-matter regions and their relative effect sizes can help refine our understanding of the brain regions that may drive or precede the widespread brain atrophy observed in AD. An AD grey-matter score evaluated in independent cohorts was significantly associated with cognition, MCI status, AD conversion (progression from cognitively normal or MCI to AD), genetic risk, and tau concentration in individuals with none or mild cognitive impairments (AUC in 0.54–0.70, p-value < 5e-4). In addition, some of the grey-matter regions associated with cognitive impairment, progression to AD (‘conversion’), and cognition/functional scores were also associated with AD, which sheds light on the grey-matter markers of disease stages, and their relationship with cognitive or functional impairment. Our multi-cohort approach provides robust and fine-grained maps the grey-matter structures associated with AD, symptoms, and progression, and calls for even larger initiatives to unveil the full complexity of grey-matter structure in AD.

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阿尔茨海默氏症、阿尔茨海默氏症转化、功能和认知的灰质结构标志物:跨越 11 个队列的 Meta 分析。
阿尔茨海默病(AD)需要脑标志物来选择早期AD患者进行临床试验,并在试验中作为定量终点措施。使用10个临床队列(N = 9140)和社区志愿者UK Biobank (N = 37,664),我们对灰质结构(厚度,表面积和体积)进行了感兴趣区域(ROI)和顶点分析。我们发现了94个特征-ROI显著关联和307个不同的顶点关联簇,它们部分重叠于ROI关联。与对照组相比,阿尔茨海默病的海马、杏仁核和内侧颞叶(梭状回和海马旁回)的体积较小得到了证实,顶点方向的结果提供了一些相关区域前所未有的定位。我们在几个皮层下(壳核、伏隔)和皮层区域(顶叶下区、中央后区、颞中区、颞横区、颞下区、中央旁区、额上区)复制了AD相关差异。这些灰质区域和它们的相对效应大小可以帮助我们更好地理解可能驱动或先于阿尔茨海默病中观察到的广泛脑萎缩的大脑区域。在独立队列中评估的AD灰质评分与认知、MCI状态、AD转换(从认知正常或MCI到AD的进展)、遗传风险和无或轻度认知障碍个体的tau浓度(AUC为0.54-0.70,p值)显著相关
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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