Vascular and Behavioral Determinants of Superior Memory Performance from Continuous Monitoring of Everyday Activities

通过持续监测日常活动来确定卓越记忆表现的血管和行为决定因素

• 批准号: 10687273
• 负责人: Angela Roberts
• 金额: $ 15.87万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10687273
• 关键词: Acceleration; Acoustics; Address; Adult; Affect; Age; Aging; Autonomic nervous system; Bathing; Behavior; Behavioral; Behavioral Mechanisms; Biological; Blood Pressure; Blood Vessels; Clinic Activity; Clinical; Clinical assessments; Cognitive; Cognitive aging; Complex; Data; Data Reporting; Dementia; Economics; Elderly; Electrocardiogram; Enrollment; Entropy; Equilibrium; Exercise; Fostering; Frequencies; Future; Geroscience; Goals; Heart Rate; Home; Hour; Image; Immune; Impaired cognition; Link; Literature; Measurement; Measures; Mediator; Memory; Monitor; Neighborhoods; Nervous System Physiology; Oxygen; Participant; Pathway interactions; Patient Self-Report; Pattern; Performance; Peripheral; Persons; Phenotype; Physical activity; Physiological; Process; Race; Reaction; Research; Resources; Respiration; Series; Signal Transduction; Skin; Sleep; Sleep Fragmentations; Sleep Stages; Social Functioning; System; Testing; Time; Work; age related; age related cognitive change; body system; cohort; comparison control; flexibility; indexing; neural; novel; novel strategies; poor sleep; preservation; remote monitoring; resilience; response; sedentary; sensor; sex; sleep pattern; sleep quality; social; social engagement; socioeconomics; standardize measure; verbal; wearable device; wireless

ABSTRACT (Project 1) Project 1 will leverage the SuperAging Consortium to test the supposition that SuperAgers have relatively preserved physiologic and behavioral complexity, compared to Controls, in the domains of physical activity, autonomic responsivity (e.g., blood pressure, heart rate), sleep, and social engagement. The number of people 80 years and older is expected to triple to ~ 426 million by the year 2050 making successful aging an essential social and economic priority. Typical aging is associated with challenges responding dynamically to heightened system demands (internal or external). This loss of responsiveness, and/or ability to stabilize the system, (framed theoretically as a ‘loss’ of physiologic and behavioral ‘complexity’) accounts for a number of age-related declines in neural connectivity, balance control, memory, among others. However, SuperAgers appear immune to some age-related cognitive changes, and thus represent an ‘ideal’ aging target. Whilst SuperAgers self-report increased physical activity and social engagement compared to their Controls, little is known about the actual physiologic and behavioral differences that distinguish SuperAgers. This is a critical missing link in understanding processes that underlie potential pathways to successful aging. The SuperAging Consortium offers a unique opportunity to reveal this missing link, and importantly, to do so in a diverse cohort. Understanding how loss of complexity manifests in everyday activities requires sensitive, multiple time-scale, measurements capable of capturing dynamic and complex behaviors in a way not afforded by point-in-time and clinical assessments. We will collect mechanoacoustic sensor recordings, during every day activities, over 24-hour time periods for two weeks in both SuperAgers and their Controls co-enrolled with the Clinical/Imaging Core. Using multiscale entropy approaches we will generate a ‘complexity’ score that captures the quality, quantity, range, and consistency of physical activity, autonomic nervous system function, sleep, and social engagement behaviors within, and across, days. In Aim 1, we will determine whether loss of complexity in physical activity and autonomic nervous system (ANS) activity differentiates SuperAgers from Controls. In Aim 2, we will determine whether loss of complexity in sleep quality and ANS activity during sleep differentiates SuperAgers from Controls. In Aim 3, we will determine whether complexity in social engagement differentiates SuperAgers from Controls. We predict that compared to their Controls, SuperAgers will demonstrate higher physical activity complexity and higher autonomic function complexity reflecting greater overall levels and quality of physical activity; lower (i.e., better) sleep complexity scores reflecting lower variability in sleep patterns; and higher social engagement complexity scores suggesting they are more consistently engaged in verbal activities compared to typical agers. Project 1 will expand the SuperAging phenotype, reveal whether SuperAgers are immune to loss of physiologic and behavioral complexity, and will accelerate geroscience discoveries by fostering future high impact studies that can address novel hypotheses linking biological, physiologic, and behavioral mechanism of aging.

摘要（项目1） 项目 1 将利用 SuperAging 联盟来测试 SuperAgers 相对 与对照组相比，在体力活动领域保留了生理和行为的复杂性， 自主反应（例如血压、心率）、睡眠和社交参与。人数 到 2050 年，80 岁及以上的人口预计将增加两倍，达到约 4.26 亿，这使得成功老龄化至关重要 社会和经济优先。典型的衰老与动态应对更高的挑战有关 系统需求（内部或外部）。 This loss of responsiveness, and/or ability to stabilize the system, (framed 理论上，生理和行为“复杂性”的“丧失”）是许多与年龄相关的衰退的原因 神经连接、平衡控制、记忆等。然而，超级老年人似乎对某些 与年龄相关的认知变化，因此代表了“理想”的衰老目标。虽然超级老年人自我报告 与对照组相比，身体活动和社交参与有所增加，但对实际情况知之甚少 区分超级老年人的生理和行为差异。这是理解中一个关键的缺失环节 潜在成功衰老途径的过程。超级老龄化联盟提供了一个独特的 有机会揭示这个缺失的环节，而且重要的是，在多元化的群体中这样做。了解如何损失 日常活动中表现出的复杂性需要敏感、多时间尺度、能够进行测量 以时间点和临床评估无法提供的方式捕获动态和复杂的行为。我们 将收集两个人在 24 小时内的日常活动中的机械声学传感器记录 超级老年人及其对照者与临床/影像核心共同注册了数周。使用多尺度熵 我们将生成一个“复杂性”分数，捕捉质量、数量、范围和一致性 体力活动、自主神经系统功能、睡眠和社交参与行为，以及 跨越，天。在目标 1 中，我们将确定身体活动和自主神经的复杂性是否丧失 系统（ANS）活动将超级老年人与对照组区分开来。在目标 2 中，我们将确定是否损失 睡眠质量和睡眠期间 ANS 活动的复杂性将超级老年人与对照组区分开来。在目标 3 中，我们 将决定社会参与的复杂性是否将超级老年人与对照者区分开来。我们预测 与对照组相比，超级老年人将表现出更高的体力活动复杂性和更高的 自主功能复杂性反映了体力活动整体水平和质量的提高；更低（即更好） 睡眠复杂性评分反映了睡眠模式的较低变异性；以及更高的社交参与复杂性 分数表明，与典型的老年人相比，他们更持续地从事语言活动。项目1 将扩大超级老化表型，揭示超级老化者是否对生理和功能丧失免疫 行为复杂性，并将通过促进未来的高影响力研究来加速老年科学的发现 可以提出将衰老的生物学、生理学和行为机制联系起来的新假设。