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

大脑活动多模态成像的行政补充，以调查老年人的步行和行动能力下降

• 批准号: 10847550
• 负责人: David J Clark
• 金额: $ 37.87万
• 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 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10847550
• 关键词: 3-Dimensional; Administrative Supplement; Age; Brain; Brain imaging; Brain region; Clinic; Communities; Compensation; Complex; Computer software; Elderly; Electroencephalography; Exhibits; Functional Magnetic Resonance Imaging; Functional disorder; Gait; Health; Health Care Costs; Image; Individual; Intervention; Measures; Modality; Modeling; Motor; Multimodal Imaging; Outcome; Pattern; Performance; Persons; Protocols documentation; Request for Applications; Resources; Techniques; Walking; aged; density; design; disability; disability impact; functional near infrared spectroscopy; innovation; insight; longitudinal design; neural circuit; neural correlate; neuroimaging; neuroregulation; parent project; public health relevance; recruit; temporal measurement; young adult

This abstract describes the aims and measures of parent project in which this administrative supplement is designed to complete. No additional measures, beyond those that were proposed by the parent project, will be performed. Parent project description: 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.

本摘要描述了本行政补充文件所在母项目的目标和措施 除了父项目提出的措施之外，不会采取其他措施来完成。 父项目描述：当前研究步行神经控制的方法是有限的。 由于无法在步行过程中测量人（功能性磁共振成像，fMRI）或 无法测量皮层以下的活动（功能性近红外光谱，fNIRS）。 全面准确地了解老年人行走的神经控制需要实时测量 我们将通过使用创新的移动设备来实现这一目标。 利用高密度脑电图 (EEG) 进行大脑成像 这种方法依赖于创新的硬件。 和软件来提供活跃皮质和皮质下大脑区域的三维定位，具有高 步行过程中的空间和时间分辨率是对神经控制的前所未有的洞察。 在这里，我们的首要目标是通过以下方式确定老年人活动的中枢神经控制。 在步行过程中收集脑电图，并将这些发现与一套全面的多样化活动相关联 结果（基于诊所的步行、复杂的步行和社区流动措施）。 评估实际行走过程中大脑活动在多大程度上解释了两种交叉运动中的活动能力下降。 截面和纵向设计，我们将确定行走性能是否较差和陡峭 下降轨迹与神经回路假说的补偿相关利用有关 （CRUNCH）是一种得到充分支持的大脑活动模式模型，可以在老年人身上看到。 CRUNCH 描述了额顶叶的过度募集。 与年轻人相比，老年人表现出的网络，即使在任务复杂性较低的情况下也是如此。 CRUNCH还描述了老年人大脑中可用的有限储备资源，这些因素导致了老年人的衰老。 成年人在执行日益复杂的任务时，大脑资源很快就会达到上限。 RFA 还呼吁提出“实施和协调”的建议。 用于量化动态步态和运动功能的成像协议和技术”。 电话，我们的第二个目标是用 fNIRS 表征和协调步行过程中的高密度脑电图（在 实际行走和想象行走）和功能磁共振成像（想象行走期间）这将使我们能够识别最稳健的。 神经影像学模式中与 CRUNCH 相关的大脑活动特征，这将增强我们的 我们的第三个目标是研究其机制。 因此，我们的项目将解决 NIH RFA-AG 的大部分目标。 18-019 并将确定老年人行走的神经相关性，从而获得前所未有的洞察力 活动能力下降和功能障碍。

项目成果

Getting LOST: A conceptual framework for supporting and enhancing spatial navigation in aging.

迷失：支持和增强老龄化空间导航的概念框架。

• 发表时间: 2024
• 作者: Weisberg, Steven M;Ebner, Natalie C;Seidler, Rachael D
• 通讯作者: Seidler, Rachael D

iCanClean Improves Independent Component Analysis of Mobile Brain Imaging with EEG.

iCanClean 改进了脑电图移动脑成像的独立成分分析。

• 发表时间: 2023-01-13
• 作者: Gonsisko, Colton B;Ferris, Daniel P;Downey, Ryan J
• 通讯作者: Downey, Ryan J

iCanClean Removes Motion, Muscle, Eye, and Line-Noise Artifacts from Phantom EEG.

iCanClean 可消除幻像脑电图中的运动、肌肉、眼睛和线噪声伪影。

• 发表时间: 2023-10-01
• 作者: Downey RJ;Ferris DP
• 通讯作者: Ferris DP

Kinematic analysis of speed transitions within walking in younger and older adults.

年轻人和老年人步行速度转变的运动分析。

• 发表时间: 2022-06
• 影响因子: 2.4
• 作者: Wade, Francesca E;Kellaher, Grace K;Pesquera, Sarah;Baudendistel, Sidney T;Roy, Arkaprava;Clark, David J;Seidler, Rachael D;Ferris, Daniel P;Manini, Todd M;Hass, Chris J
• 通讯作者: Hass, Chris J

Are Physical Activity and Sedentary Behavior Associated With Cancer-Related Symptoms in Real Time?: A Daily Diary Study.

体力活动和久坐行为是否与癌症相关症状实时相关？：每日日记研究。

• 发表时间: 2022-01-01
• 影响因子: 2.6
• 作者: Paxton, Raheem J.;Bui, Chuong;Fullwood, Dottington;Daniel, Danielle;Stolley, Melinda;Oliver, JoAnn S.;Wang, Kun;Dubay, John W.
• 通讯作者: Dubay, John W.