Naewoo Shin, Karen M Rodrigue, May Yuan, Kristen M Kennedy
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引用次数: 0
摘要
简介了解环境特性对阿尔茨海默病（AD）的影响至关重要。日常导航环境的空间复杂性是一个重要因素，但研究不足：方法：对国家阿尔茨海默氏症协调中心（NACC）数据集中的 660 名老年人进行地理定位，并根据地理空间网络地标和兴趣点得出环境复杂性指数。潜在模型测试了空间导航相关脑容量和诊断（认知健康、轻度认知障碍[MCI]、AD）对环境复杂性对空间行为影响的中介作用：通过间接分层中介，环境复杂度越高，与导航相关的脑容量越大（而非以自我为中心），MCI 和 AD 诊断越轻，空间行为表现越好：研究结果支持空间复杂环境对导航神经回路和空间行为功能产生积极影响的假设。鉴于这些神经回路容易受到注意力缺失症病理学的影响，居住在空间复杂的环境中可能有助于避免注意力缺失症谱系中伴随空间导航缺陷的脑萎缩。
Geospatial environmental complexity, spatial brain volume, and spatial behavior across the Alzheimer's disease spectrum.
Introduction: Understanding impact of environmental properties on Alzheimer's disease (AD) is paramount. Spatial complexity of one's routinely navigated environment is an important but understudied factor.
Methods: A total of 660 older adults from National Alzheimer's Coordinating Center (NACC) dataset were geolocated and environmental complexity index derived from geospatial network landmarks and points-of-interest. Latent models tested mediation of spatial navigation-relevant brain volumes and diagnosis (cognitively-healthy, mild cognitive impairment [MCI], AD) on effect of environmental complexity on spatial behavior.
Results: Greater environmental complexity was selectively associated with larger allocentric (but not egocentric) navigation-related brain volumes, lesser diagnosis of MCI and AD, and better spatial behavioral performance, through indirect hierarchical mediation.
Discussion: Findings support hypothesis that spatially complex environments positively impact navigation neural circuitry and spatial behavior function. Given the vulnerability of these very circuits to AD pathology, residing in spatially complex environments may be one factor to help stave off the brain atrophy that accompanies spatial navigation deficits across the AD spectrum.
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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