Brain Networks and Mobility Function: B-NET

大脑网络和移动功能：B-NET

• 批准号: 10189465
• 负责人: STEPHEN B. KRITCHEVSKY
• 金额: $ 58.77万
• 依托单位: WAKE FOREST UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-30 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10189465
• 关键词: Accounting; Address; Affect; Age; Anatomy; Anisotropy; Area; Brain; Brain region; Cardiovascular system; Characteristics; Communities; Community Networks; Complex; Data; Development; Elderly; Fiber; Functional Magnetic Resonance Imaging; Functional disorder; Gait; Health; Health Care Costs; Image; Impairment; Individual; Intervention; Knowledge; Lesion; Link; Lower Extremity; Magnetic Resonance Imaging; Measures; Motivation; Motor; Motor Cortex; Motor output; Neuraxis; Neurology; Outcome; Pattern; Performance; Physical Performance; Play; Public Health; Quality of life; Rest; Risk; Role; Science; Sensory; Skeletal Muscle; Structure; Techniques; Testing; Tissues; age related; aged; aging brain; brain volume; cardiovascular fitness; cohort; disability; environmental change; follow-up; forest; functional decline; imaging approach; improved mobility; innovation; muscle strength; neuroimaging; novel; novel strategies; prevent; response; sensory input; societal costs; therapy design; white matter; white matter damage

Project Summary/Abstract Declining mobility function is a common age-related phenomenon that is associated with reduced quality of life and high societal costs. Recently, the brain's critical role in mobility function has been recognized using imaging approaches assessing white matter characteristics. A new paradigm considering the brain as a complex network uses MRI to directly characterize the brain as a functional network. Brain Networks and Mobility Function: B-NET brings together national leaders in brain network science, neurology and mobility assessment to apply this innovative network paradigm to elucidate the aging brain's role in declining mobility. We propose that functional connectivity within and between the sensorimotor cortex -- community structure (SMC-CS) -- predicts declining mobility; and that SMC-CS will be associated with mobility independent of known relationships between white matter integrity and mobility function. B-Net will establish a cohort of 240 community-dwelling older adults (age range 70-85) and measure mobility function at baseline, 6, 18 and 30 months using the extended short physical performance battery (eSPPB). The MRI will be repeated at 30 months. B-Net's specific aims are to: Specific Aim 1. Determine the baseline association between SMC-CS and eSPPB score. We hypothesize that SMC-CS will be associated with eSPPB performance independent of known correlates of mobility function and white matter integrity (i.e. fractional anisotropy and white matter lesions). Specific Aim 2. Determine whether baseline SMC-CS predicts mobility decline. We hypothesize that poorer baseline SMC-CS will be predict declining eSPPB scores after accounting for known correlates of mobility impairment including white matter integrity, cardiovascular fitness, and muscle strength. Specific Aim 3. Repeat brain MRI imaging to determine the longitudinal association between changes in SMC-CS and changes in eSPPB score. We hypothesize that longitudinal declines in SMC-CS will be significantly associated with declining eSPPB performance independent of known correlates of lower extremity function decline and white matter integrity. B-NET tests a novel emerging paradigm regarding the CNS's role in age-related functional decline to support the development of innovative strategies to sustain mobility function in older adults, a critical public health need.

项目摘要/摘要 流动功能下降是与年龄相关的常见现象，与生活质量降低有关 和高昂的社会成本。最近，使用大脑在移动功能中的关键作用已被识别 成像方法评估白质特征。一个新的范式，将大脑视为 复杂网络使用MRI将大脑直接表征为功能网络。大脑网络和 机动性功能：B-NET汇集了脑网络科学，神经病学和流动性的国家领导者 评估以应用这种创新的网络范式来阐明大脑在减少活动能力中的作用。 我们提出了感觉运动皮层内和之间的功能连通性 - 社区结构 （SMC-CS） - 预测移动性下降； SMC-CS将与移动性无关 白质完整性和移动性功能之间的已知关系。 B-NET将建立由240个社区居住的老年人组成的队列（年龄范围70-85），并衡量出行能力 使用扩展的短体性能（ESPPB）在基线，6、18和30个月的功能。这 MRI将在30个月后重复。 B-net的具体目的是： 具体目标1。确定SMC-CS和ESPPB分数之间的基线关联。我们假设 SMC-CS将与ESPPB性能相关 和白质完整性（即分数各向异性和白质病变）。 具体目标2。确定基线SMC-CS是否预测了移动性下降。我们假设贫穷 基线SMC-CS将预测已知的移动性相关性后ESPPB分数下降 损害包括白质完整性，心血管健身和肌肉力量。 特定目标3。重复脑MRI成像，以确定变化之间的纵向关联 SMC-CS和ESPPB得分的变化。我们假设SMC-CS的纵向下降将是 与下肢已知相关性无关的ESPPB性能下降显着相关 功能下降和白质完整性。 B-NET测试了有关中枢神经系统在与年龄相关的功能下降中的作用的新型新兴范式 制定创新策略以维持老年人的流动功能，这是一个关键的公共卫生 需要。