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: 9975080
• 负责人: David J Clark
• 金额: $ 113.99万
• 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/9975080
• 关键词: 3-Dimensional; 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：老年人的流动性障碍会降低生活质量，并且与高有关 社会和经济伯恩。 NIH RFA-AG-18-019固体应用程序“…调查中心神经 使用创新和尖端的方法控制老年人的流动性。”当前学习方法 步行的神经控制受到步行期间无法衡量人的限制（功能 磁共振成像，fMRI）或无法测量皮质以下的活性（功能性接近 - 红外光谱，FNIRS）。我们断言，对行走的神经控制有充分而准确的理解 在老年人中，在实际步行过程中需要实时测量整个大脑的活动区域。我们 通过使用具有高密度脑电图（EEG）的创新移动脑成像来实现这一目标。 这种方法依靠创新的硬件和软件来提供主动的三维本地化 步行过程中具有高空间和临时分辨率的皮质和皮层脑区域。结果就是 对步行神经控制的空前洞察力。在这里，我们的总体目标是确定 在步行和关联这些发现时，通过收集脑电图来收集脑电图，对老年人的流动性中心神经控制 具有一套全面的潜水员出行成果（基于诊所的步行，复杂的步行和社区 流动措施）。我们的第一个目的是评估实际步行中大脑活动的程度 流动性下降。在横截面和纵向设计中，我们将确定步行是否较差 绩效和钢铁下降轨迹与薪酬相关的利用率有关 神经回路假设（Crunch）。 Crunch是一个良好支持的大脑活动模式的模型 看看年长的人何时执行增加复杂性的任务。紧缩描述了过度招聘 与年轻人相比，老年人表现出的额叶大脑网络的 任务复杂性。 Crunch还描述了较老的大脑可用的储备资源有限。这些 导致老年人执行增加的任务时，老年人迅速达到大脑资源的上限 复杂。到达天花板时，性能会受到损失。 RFA还要求提出建议 “操作和协调成像协议和技术，以量化动态收集和电机 函数”。根据此调用，我们的第二个目标是表征和协调高密度的脑电图 在与Fnirs（在实际和成像的步行过程中）和fMRI（在想象中的步行期间）行走时。这会 允许我们识别神经影像中最强大的脑活动标志 模式，这将加强我们的结论，并允许我们发现的范围应用。我们的 第三个目的是研究步行过程中与紧缩相关的机制。那，我们的项目将解决 NIH RFA-AG-18-019中的大多数物体，并将识别在较旧的情况下行走的神经相关性 成年人，导致对流动性下降和功能障碍的前所未有的见解。