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：老年人的行动障碍降低了生活质量，并与高血压相关。 社会和经济负担。NIH RFA-AG-18-019征求申请“......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。目前的研究方法 行走的神经控制受限于不能在行走期间测量人（功能性的 磁共振成像，功能磁共振成像）或无法测量皮质下的活动（功能近， 红外光谱，fNIRS）。我们断言，一个完整和准确的了解神经控制的步行 在老年人中，需要在实际行走期间对整个大脑的活动区域进行真实的时间测量。我们 将通过使用创新的移动的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，以提供三维定位的活动 皮层和皮层下的大脑区域，在行走过程中具有高的空间和时间分辨率。结果是 对行走的神经控制有了前所未有的深入了解在这里，我们的首要目标是确定 通过收集行走时的EEG并将这些发现相关联，研究老年人的中枢神经运动控制 具有一套全面的多样化的移动结果（基于诊所的步行，复杂的步行和社区 流动性）。我们的第一个目标是评估在实际行走过程中大脑活动的程度， 流动性下降。在横截面和纵向设计中，我们将确定较差的行走是否 业绩和更陡峭的下降轨迹与薪酬相关的利用率相关， 神经回路假说（CRUNCH）CRUNCH是一个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会出现这种情况。CRUNCH描述了过度招募 老年人与年轻人相比所表现出的额顶叶脑网络，即使在低水平的 任务复杂度CRUNCH还描述了老年人大脑中有限的储备资源。这些 一些因素导致老年人在执行增加的任务时， 复杂性当达到上限时，性能就会受到影响。RFA还呼吁提出建议， “操作和协调成像协议和技术，量化动态步态和运动 职能”。根据这一要求，我们的第二个目标是表征和协调高密度EEG 在步行过程中，使用fNIRS（在实际和成像步行过程中）和fMRI（在想象步行过程中）。这将 使我们能够在神经成像中识别出与CRUNCH相关的最强有力的大脑活动特征， 模式，这将强化我们的结论并允许我们的发现得到广泛应用。我们 第三个目的是研究行走过程中CRUNCH的相关机制。因此，我们的项目将解决 NIH RFA-AG-18-019中的大多数目标，并将确定老年人行走的神经相关性。 成年人，导致前所未有的洞察力流动性下降和功能障碍。