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

基本信息

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
项目类别：
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

项目摘要

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事项。典型的老龄化与对香水的动态响应的挑战相关。系统需求（内部或外部）。这种响应能力和/或稳定系统的能力的丧失。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然而，超级老年人似乎对某些功能免疫。与年龄相关的认知变化，因此代表了“理想”的衰老目标，而超级老年人则自我报告。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是理解过程中缺失的一个关键环节。超级老龄化联盟提供了一种独特的成功老龄化潜在途径的过程。有机会揭示这个缺失的环节，重要的是，在不同的群体中这样做，了解缺失的过程是如何发生的。日常活动中体现的复杂性需要敏感、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。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使用多尺度熵，超级老年人及其对照组与临床/成像核心共同注册了数周。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，以及在目标 1 中，我们将确定身体活动和自主神经系统的复杂性是否丧失。系统（ANS）活动将超级老年人与对照组区分开来。在目标 2 中，我们将确定是否丧失了能力。在目标 3 中，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。我们预测，社会参与的复杂性将决定超级老年人与对照者的区别。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身体活动的整体水平和质量较低（即更好）；睡眠复杂性得分反映了睡眠模式的较低变异性和较高的社交参与复杂性；分数表明，与典型的项目 1 老年人相比，他们更持续地从事语言活动。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。