Xi Yu, Scott A Przybelski, Robert I Reid, Timothy G Lesnick, Sheelakumari Raghavan, Jonathan Graff-Radford, Val J Lowe, Kejal Kantarci, David S Knopman, Ronald C Petersen, Clifford R Jack, Prashanthi Vemuri
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Neurite orientation dispersion and density imaging (NODDI), offering biologically meaningful interpretation of tissue microstructure, may be an advanced brain health biomarker.</p><p><strong>Methods: </strong>We contrasted regional gray matter NODDI and morphometric evaluations concerning their correlation with (1) age, (2) clinical diagnosis stage, and (3) tau pathology as assessed by AV1451 positron emission tomography.</p><p><strong>Results: </strong>Our study hypothesizes that NODDI measures are more sensitive to aging and early AD changes than morphometric measures. 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引用次数: 0
摘要
导言：与年龄相关和阿尔茨海默病（AD）痴呆相关的神经变性会影响大脑健康。虽然 T1 加权扫描的形态计量指标是公认的生物标志物，但它们对早期变化的敏感度可能较低。神经元取向弥散和密度成像（NODDI）可对组织微观结构进行有生物学意义的解释，可能是一种先进的大脑健康生物标志物：我们对比了区域灰质 NODDI 和形态计量学评估与（1）年龄、（2）临床诊断阶段和（3）AV1451 正电子发射断层扫描评估的 tau 病理学的相关性：我们的研究假设，NODDI 测量比形态测量对衰老和早期 AD 变化更敏感。NODDI的一项输出结果--游离水分数（FWF）--显示出对年龄相关变化更高的敏感性，在区分轻度认知障碍参与者和认知功能未受损参与者方面通常具有更好的效应大小，并且与区域tau沉积的关联性强于形态测量：讨论：这些发现强调了NODDI在捕捉早期神经退行性变化方面的实用性，并加深了我们对衰老和AD的理解：神经元取向弥散和密度成像可作为老化和早期阿尔茨海默病（AD）的有效脑健康生物标志物，自由水分量对正常脑老化的敏感性更高，自由水分量与早期AD和区域性tau沉积的关联性更强。
NODDI in gray matter is a sensitive marker of aging and early AD changes.
Introduction: Age-related and Alzheimer's disease (AD) dementia-related neurodegeneration impact brain health. While morphometric measures from T1-weighted scans are established biomarkers, they may be less sensitive to earlier changes. Neurite orientation dispersion and density imaging (NODDI), offering biologically meaningful interpretation of tissue microstructure, may be an advanced brain health biomarker.
Methods: We contrasted regional gray matter NODDI and morphometric evaluations concerning their correlation with (1) age, (2) clinical diagnosis stage, and (3) tau pathology as assessed by AV1451 positron emission tomography.
Results: Our study hypothesizes that NODDI measures are more sensitive to aging and early AD changes than morphometric measures. One NODDI output, free water fraction (FWF), showed higher sensitivity to age-related changes, generally better effect sizes in separating mild cognitively impaired from cognitively unimpaired participants, and stronger associations with regional tau deposition than morphometric measures.
Discussion: These findings underscore NODDI's utility in capturing early neurodegenerative changes and enhancing our understanding of aging and AD.
Highlights: Neurite orientation dispersion and density imaging can serve as an effective brain health biomarker for aging and early Alzheimer's disease (AD).Free water fraction has higher sensitivity to normal brain aging.Free water fraction has stronger associations with early AD and regional tau deposition.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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