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: 10276527
• 负责人: Angela Roberts
• 金额: $ 51.21万
• 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 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10276527
• 关键词: 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 of activation protein; Memory; Monitor; Neighborhoods; Nervous System Physiology; Oxygen; Participant; Pathway interactions; Patient Self-Report; Pattern; Performance; Peripheral; Phenotype; Physical activity; Physiological; Process; Race; Research; Resources; Respiration; Series; Signal Transduction; Skin; Sleep; Sleep Fragmentations; Sleep Stages; Social Functioning; System; Testing; Time; Wireless Technology; Work; age related; age related cognitive change; base; body system; cohort; flexibility; indexing; novel; novel strategies; poor sleep; preservation; relating to nervous system; remote monitoring; resilience; response; sedentary; sensor; sex; sleep pattern; sleep quality; social; social engagement; socioeconomics; standardize measure; wearable device

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将利用超级联盟来测试超级名言相对较高的假设 与对照组相比，保留的生理和行为复杂性，在体育活动领域， 自主反应（例如，血压，心率），睡眠和社交参与。人数 预计到2050年，预计80岁及以上的年龄将达到约4.26亿美元 社会和经济优先。典型的衰老与挑战对增加的挑战有关 系统需求（内部或外部）。响应能力的丧失和/或稳定系统的能力（构架 理论是生理和行为“复杂性”的“损失”）占与年龄相关的许多下降 在神经元连通性，平衡控制，记忆等中。但是，超级代表似乎对某些人免疫 与年龄相关的认知变化，因此代表了“理想”的衰老靶标。而超级人士自我报告 与对照相比，体育锻炼和社交参与增加了，对实际 区分超级词的生理和行为差异。这是理解的关键缺失链接 流程是成功衰老的潜在途径。超级联盟提供了独特的 有机会在多样性的队列中揭示这种缺失的联系，重要的是有机会这样做。了解如何损失 复杂性在每天的活动中都需要敏感的，多个时间尺度的测量 以某种方式和临床评估无法提供的方式捕获动态和复杂的行为。我们 将在每天的活动中收集机械声传感器的录制，超过两个时间段 超级代码及其对照组的数周与临床/成像核心共同入学。使用多尺度熵 方法我们将产生“复杂性”分数，以捕获质量，数量，范围和一致性 体育活动，自主神经系统功能，睡眠和社交参与行为， 遍布几天。在AIM 1中，我们将确定身体活动和自主神经系统中复杂性的丧失是否丧失 系统（ANS）活动将超级词与控件区分开。在AIM 2中，我们将确定是否丢失 睡眠质量的复杂性和睡眠期间的ANS活动使超级代表与控件区分开。在AIM 3中，我们 将确定社会参与中的复杂性是否会使超级管理者与控件区分开。我们预测 与他们的对照相比，超级载体将表现出更高的体育活动复杂性和较高的体力 自主功能复杂性反映了体育锻炼的更高水平和质量；较低（即更好） 睡眠复杂性得分反映了睡眠模式变异性较低；和更高的社会参与复杂性 与典型的老年人相比，分数表明它们更始终如一地从事口头活动。项目1 将扩大超大表型，揭示超级代码是否不受生理丧失和 行为复杂性，并将通过培养未来的高影响研究来加速Geroscience的发现 可以解决与衰老的生物学，生理和行为机制联系起来的新颖假设。