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.

该摘要描述了该行政补充的父母项目的目的和度量 设计用于完成。除了父母项目提出的计划之外，没有其他措施将是 执行。父母项目描述：当前研究步行神经控制的方法有限 通过在步行过程中无法测量人（功能性磁共振成像，fMRI）或 无法测量在皮层下方的活性（功能近红外光谱，FNIRS）。我们断言 对老年人行走神经控制的完全准确的理解需要实时测量 在实际步行期间，整个大脑的活跃区域。我们将通过使用创新的手机来实现这一目标 具有高密度脑电图（EEG）的大脑成像。这种方法依赖于创新的硬件 和软件，以高较高的活性皮质和皮层脑区域进行三维定位 步行过程中的空间和临时分辨率。结果是对神经控制的前所未有的见解 步行。在这里，我们的总体目标是确定老年人流动性的中心神经控制 在步行和将这些发现与一组全面的潜水员流动性相关联时收集脑电图 结果（基于诊所的步行，复杂的步行和社区流动措施）。我们的第一个目标是 评估实际步行过程中大脑活动的程度可以解释流动性下降。在两个十字架中 分段和纵向设计，我们将确定步行性能和钢铁 下降轨迹与薪酬相关的神经回路假设相关的利用 （紧缩）。 Crunch是一个良好支持的大脑活动模式模型，当年龄较大的个体时可以看到 执行增加复杂性的任务。紧缩描述了额叶大脑的过度恢复 与年轻人相比，老年人也表现出的网络，即使在任务复杂水平较低的情况下也是如此。 Crunch还描述了较老的大脑可用的储备资源有限。这些因素导致较老 在执行增加复杂性的任务时，成年人将迅速达到大脑资源的上限。什么时候 到达天花板，性能受到损失。 RFA还呼吁提出“操作和协调 量化动态AIT和运动功能的成像协议和技术。 呼叫，我们的第二个目标是在与fnirs同行期间表征和协调高密度的脑电图（在 实际和成像的步行）和fMRI（在想象的步行期间）。这将使我们能够确定最强大的 跨神经影像脑活动的紧缩相关标志，这将增强我们的 结论并允许我们发现的宽度应用。我们的第三个目标是研究机制 与步行过程中的紧缩有关。这，我们的项目将解决NIH rfa-ag-中的大多数对象。 18-019，并将确定老年人步行的神经相关性，从而导致前所未有的见识 流动性下降和功能障碍。

项目成果

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• DOI: 10.1097/ncc.0000000000000908
• 发表时间: 2022-01-01
• 期刊: CANCER NURSING
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• 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.

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• DOI: 10.3390/s23198214
• 发表时间: 2023-10-01
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• 作者: Downey RJ;Ferris DP
• 通讯作者: Ferris DP

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

• DOI: 10.3390/s23020928
• 发表时间: 2023-01-13
• 期刊: Sensors (Basel, Switzerland)
• 作者: Gonsisko CB;Ferris DP;Downey RJ
• 通讯作者: Downey RJ

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

• DOI: 10.1016/j.jbiomech.2022.111130
• 发表时间: 2022-06
• 期刊: JOURNAL OF BIOMECHANICS
• 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.