Brain Networks and Mobility Function: B-NET

大脑网络和移动功能：B-NET

基本信息

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
项目类别：
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

项目摘要

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.

项目概要/摘要行动功能下降是一种常见的与年龄相关的现象，与生活质量下降有关以及高昂的社会成本。最近，人们已经认识到大脑在移动功能中的关键作用评估白质特征的成像方法。将大脑视为一个新范式复杂网络使用 MRI 直接将大脑表征为功能网络。大脑网络和移动功能：B-NET 汇集了脑网络科学、神经病学和移动领域的国家领导者评估应用这种创新的网络范例来阐明衰老的大脑在活动能力下降中的作用。我们提出感觉运动皮层内部和之间的功能连接——群落结构 (SMC-CS)——预测流动性下降；并且 SMC-CS 将与独立于移动性的白质完整性和运动功能之间的已知关系。 B-Net 将建立一个由 240 名社区居住老年人（年龄范围 70-85 岁）组成的队列并测量流动性使用扩展短期物理性能电池 (eSPPB) 在基线、6、18 和 30 个月时发挥功能。这 MRI 将在 30 个月时重复进行。 B-Net 的具体目标是：具体目标 1. 确定 SMC-CS 和 eSPPB 评分之间的基线关联。我们假设 SMC-CS 将与 eSPPB 性能相关联，独立于已知的移动功能相关性和白质完整性（即分数各向异性和白质病变）。具体目标 2. 确定基线 SMC-CS 是否预测流动性下降。我们假设更穷在考虑了已知的流动性相关性后，基线 SMC-CS 将预测 eSPPB 分数下降损害包括白质完整性、心血管健康和肌肉力量。具体目标 3. 重复脑 MRI 成像以确定脑部变化之间的纵向关联 SMC-CS 和 eSPPB 分数的变化。我们假设 SMC-CS 的纵向下降将是与 eSPPB 表现下降显着相关，与已知的下肢相关性无关功能下降和白质完整性。 B-NET 测试了一种关于中枢神经系统在与年龄相关的功能衰退中的作用的新兴范例，以支持制定创新战略以维持老年人的行动功能，这是一项重要的公共卫生问题需要。