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（项目一）