Neuropathology for disrupted multiscale activity control in Alzheimer's disease

描述（由申请人提供）：早期诊断阿尔茨海默病（AD）或识别AD的风险对于AD患者及其护理人员的更好结果非常重要。利用现代统计物理学和非线性动力学的新概念和方法，PI最近的研究表明，人类运动活动不仅在特定的固定时间尺度上表现出节律（例如约24小时的昼夜节律），而且在不同时间尺度上也表现出具有相似时间结构和统计特性的强大分形波动。分形图案不受环境条件的影响，持续时间从几秒到24小时不等，表明其具有内在的多尺度活动控制。更重要的是，PI和他的同事

DESCRIPTION (provided by applicant): Early diagnosis of Alzheimer's disease (AD) or identification of the risk for AD is important for better outcomes for individuals with AD and thei caregivers. Using novel concepts and methods derived from modern statistical physics and nonlinear dynamics, PI's recent studies show that human motor activity exhibits not only rhythms at certain fixed time scales (e.g. circadian rhythms at ~24 hours), but also robust fractal fluctuations with similar temporal structure and statistical properties at different time scales. Te fractal patterns are independent of environmental conditions and persist from seconds up to 24 hours, indicating an intrinsic multiscale activity control. More importantly, PI and his colleagues show that multiscale activity control (MAC) is degraded with aging and further degraded in AD, and that the degree of the degradation is strongly associated with amyloid plaques (a hallmark of AD), and can better predict circadian dysfunction as compared to traditional measures of circadian rhythmicity. These results provide strong evidence that MAC is physiologically important, likely reflecting integrity and adaptability of the motor activity control system. The gal of this project is to test the ability of MAC to predict cognitive decline and the risk for AD in elderly subjects. To achieve this goal, PI and his team propose to perform a longitudinal study using the unique database of 1727 participants (53-103 years old), collected in the Rush Memory and Aging Project (MAP) - a longitudinal, epidemiologic clinical-pathologic cohort study of common chronic conditions of aging with an emphasis on decline in cognitive and motor function and risk of AD. The specific aims are 1) to determine the longitudinal effects of aging and Alzheimer's disease on multiscale activity control; 2) to determine prospectively the ability o multiscale activity control to predict the risk of cognitive decline and Alzheimer's disease incidence; 3) to identify neurodegeneration in brain that contribute to disrupted multiscale activity control in older subjects. Achieving these aims will define the temporal profile of the degradation in motor activity control and its relationship with neurodegeneration in the brain during the development of AD. The proposed MAC measures may serve as a cost-efficient, reliable tool to predict the risk of AD and to monitor the progression of the disease.