Multimodal imaging of brain activity to investigate walking and mobility decline in older adults

大脑活动的多模态成像研究老年人的步行和行动能力下降

• 批准号: 9791150
• 负责人: David J Clark
• 金额: $ 114.31万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9791150
• 关键词: Accelerometer; Address; Age; Agreement; Anterior; Atrophic; Behavior Control; Biomechanics; Brain; Brain imaging; Brain region; Cerebrum; Clinic; Clinical; Cognitive; Communities; Complex; Computer software; Data; Dimensions; Economic Burden; Effectiveness of Interventions; Elderly; Electrodes; Electroencephalography; Electromyography; Environment; Exhibits; Financial compensation; Functional Magnetic Resonance Imaging; Functional disorder; Future; Gait; Head; Health; Health Care Costs; Human; Image; Impairment; Individual; Individual Differences; Intervention; Knowledge; Lead; Literature; Measurement; Measures; Methods; Modality; Modeling; Morbidity - disease rate; Motor; Movement; Multimodal Imaging; Near-Infrared Spectroscopy; Nested Case-Control Study; Noise; Outcome; Pain; Patient Outcomes Assessments; Pattern; Performance; Perfusion; Persons; Protocols documentation; Quality of life; Request for Applications; Research Personnel; Resources; Sensory; Structure; Techniques; Time; Visual impairment; Walking; Work; age effect; aged; aging brain; base; density; disability; disability impact; follow-up; imaging modality; innovation; insight; longitudinal design; mind control; mortality; neural circuit; neural correlate; neuroimaging; neuroregulation; novel; public health relevance; recruit; relating to nervous system; sensor; signal processing; somatosensory; temporal measurement; young adult

Project Description: Mobility impairments in older adults decrease quality of life and are associated with high societal and economic burden. NIH RFA-AG-18-019 solicits applications “…to investigate the central neural control of mobility in older adults…using innovative and cutting-edge methods.” Current approaches to study the neural control of walking are limited by either the inability to measure people during walking (functional magnetic resonance imaging, fMRI) or the inability to measure activity below the cortex (functional near- infrared spectroscopy, fNIRS). We assert that a full and accurate understanding of the neural control of walking in older adults requires real time measurement of active regions throughout the brain during actual walking. We will achieve this by using innovative mobile brain imaging with high-density electroencephalography (EEG). This approach relies upon innovative hardware and software to deliver three-dimensional localization of active cortical and subcortical brain regions with high spatial and temporal resolution during walking. The result is unprecedented insight into the neural control of walking. Here, our overarching objective is to determine the central neural control of mobility in older adults by collecting EEG during walking and correlating these findings with a comprehensive set of diverse mobility outcomes (clinic-based walking, complex walking and community mobility measures). Our first aim is to evaluate the extent to which brain activity during actual walking explains mobility decline. In both cross sectional and longitudinal designs, we will determine whether poorer walking performance and steeper trajectories of decline are associated with the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model of brain activity patterns that are seen when older individuals perform tasks of increasing complexity. CRUNCH describes the over-recruitment of frontoparietal brain networks that older adults exhibit in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited reserve resources available in the older brain. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity. When the ceiling is reached, performance suffers. The RFA also calls for proposals to “Operationalize and harmonize imaging protocols and techniques for quantifying dynamic gait and motor functions”. In accordance with this call, our second aim is to characterize and harmonize high-density EEG during walking with fNIRS (during actual and imaged walking) and fMRI (during imagined walking). This will allow us to identify the most robust CRUNCH-related hallmarks of brain activity across neuroimaging modalities, which will strengthen our conclusions and allow for widespread application of our findings. Our third aim is to study the mechanisms related to CRUNCH during walking. Thus, our project will address a majority of the objectives in NIH RFA-AG-18-019 and will identify the neural correlates of walking in older adults, leading to unprecedented insight into mobility declines and dysfunction.

项目描述：老年人的行动障碍会降低生活质量，并与高 社会和经济负担。 NIH RFA-AG-18-019 征集申请“……研究中枢神经系统 控制老年人的行动能力......使用创新和尖端的方法。”当前的研究方法 行走的神经控制受到无法在行走过程中测量人（功能性）的限制。 磁共振成像，fMRI）或无法测量皮层以下的活动（功能性近功能） 红外光谱，fNIRS）。我们断言，对行走的神经控制的全面而准确的理解 老年人需要在实际行走过程中实时测量整个大脑的活动区域。我们 将通过使用创新的移动脑成像和高密度脑电图（EEG）来实现这一目标。 这种方法依赖于创新的硬件和软件来提供活动的三维定位 行走时具有高空间和时间分辨率的皮质和皮质下大脑区域。结果是 对行走的神经控制的前所未有的洞察。在这里，我们的首要目标是确定 通过在行走过程中收集脑电图并将这些发现关联起来，对老年人的活动能力进行中枢神经控制 具有一整套多样化的出行结果（诊所步行、复杂步行和社区步行） 流动性措施）。我们的首要目标是评估实际行走过程中大脑活动在多大程度上解释了 流动性下降。在横截面和纵向设计中，我们将确定步行是否较差 绩效和更陡峭的下降轨迹与薪酬相关的利用有关 神经回路假说（CRUNCH）。 CRUNCH 是一种得到充分支持的大脑活动模式模型， 当老年人执行越来越复杂的任务时就会出现这种情况。 CRUNCH 描述了过度招聘 与年轻人相比，老年人表现出的额顶脑网络的差异，即使在低水平的情况下 任务复杂性。 CRUNCH 还描述了老年人大脑中可用的有限储备资源。这些 导致老年人在执行越来越多的任务时大脑资源很快达到上限的因素 复杂。当达到上限时，性能就会受到影响。 RFA 还呼吁提出建议 “操作和协调用于量化动态步态和运动的成像协议和技术 功能”。根据这一呼吁，我们的第二个目标是表征和协调高密度脑电图 在使用 fNIRS（实际行走和成像行走期间）和 fMRI（想象行走期间）行走期间。这将 使我们能够通过神经影像识别大脑活动中与 CRUNCH 相关的最强大的标志 模式，这将加强我们的结论并允许我们的研究结果得到广泛应用。我们的 第三个目标是研究步行过程中与CRUNCH相关的机制。因此，我们的项目将解决 NIH RFA-AG-18-019 中的大部分目标，并将确定老年人行走的神经相关性 成人，导致对行动能力下降和功能障碍的前所未有的洞察。