Cross-disciplinary training in translational neuroimaging of ADRD

ADRD 转化神经影像学跨学科培训

基本信息

  • 批准号:
    10411110
  • 负责人:
  • 金额:
    $ 31.85万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-06-01 至 2027-05-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Alzheimer’s disease and related dementias (ADRD) are a leading cause of neurological disability, causing devastating impairments in cognition and functional capacity . Although there has been considerable progress in identifying mechanisms underlying ADRD, and symptomatic treatment is available for some ADRD, there is urgent need for greater understanding of the mechanisms underlying these dementias to identify potential treatment targets and to contribute to successful treatment trials. Because of its ability to resolve brain structure and function noninvasively, neuroimaging has become a leading strategy used for translational research in ADRD and a prominent biomarker strategy for clinical differential diagnosis of ADRD, for defining preclinical stages of ADRD, and for evaluating for target engagement and therapeutic responses in trials. Modern neuroimaging is an inherently interdisciplinary field combining expertise in physics, chemistry, engineering, computer science, neuroscience, and statistics to localize and quantify a large array of metrics reflecting the molecular, cellular, structural, functional, and physiological properties of the central nervous system. Additional expertise in topics such as genomics, proteomics, metabolomics, neuropharmacology, psychology, and neuromodulation are also required to optimally combine or apply neuroimaging with other key areas in ADRD research. Finally, because of its multidimensional nature, neuroimaging is a “big data” field requiring expertise in informatics and data management. The University of Pennsylvania has a longstanding track record of innovation and translation in biomedical neuroimaging in ADRD, and supports state-of-the-art instrumentation for in vivo MRI, PET, CT, and optical imaging in both humans and preclinical models as well as extensive expertise and resources in image processing and spatiotemporal statistics. In response to PAR-21-112 the proposed “Cross-disciplinary training program in translational neuroimaging of ADRD” will draw predoctoral and postdoctoral trainees from both biological and quantitative science backgrounds who are seeking a research career focusing on neuroimaging in ADRD. A core curriculum covering neuroimaging methods will be combined with specializations in 1) imaging studies of disease mechanism, 2) imaging biomarkers and neuroimaging trials, or 3) statistical and computational approaches to neuroimaging data. A diverse faculty with outstanding track records of research and mentoring in neuroimaging and related fields will participate, with each trainee receiving dual mentorship from faculty with complementary expertise. The aims of the proposed training program are 1) to train the next generation of ADRD neuroimaging researchers, 2) to increase diversity in neuroimaging research through efforts to increase diversity in both program trainees and program faculty, 3) to expand local ADRD neuroimaging research through participation of training faculty with related domain expertise, and 4) to provide training in the Responsible Conduct of Research and Experimental Rigor, particularly as it applies to neuroimaging.
项目摘要 阿尔茨海默氏病和相关痴呆症(ADRD)是神经疾病的主要原因,导致 认知和功能能力的毁灭性障碍。尽管取得了很大进展 在确定ADRD的基础机制和症状治疗时,有一些ADRD 迫切需要对这些痴呆症基础的机制有更深入的了解,以识别潜力 治疗目标并为成功的治疗试验做出贡献。因为它能够解决大脑 结构和功能无创,神经影像已成为转化的领先策略 ADRD的研究以及ADRD临床差异诊断的重要生物标志物策略,用于定义 ADRD的临床前阶段,以及评估试验中的目标参与和治疗反应。 现代神经影像学是一个固有的跨学科领域,结合了物理,化学,化学专业知识 工程,计算机科学,神经科学和统计数据,以本地化和量化大量指标 反映中枢神经的分子,细胞,结构,功能和物理特性 系统。基因组学,蛋白质组学,代谢组学,神经药理等主题方面的其他专业知识, 还需要心理学和神经调节才能最佳地结合或应用神经影像与其他密钥 Adrd研究的领域。最后,由于其多维性质,神经影像学是一个“大数据”领域 需要信息和数据管理方面的专业知识。宾夕法尼亚大学的长期 ADRD生物医学神经影像学中创新和翻译的记录,并支持最先进的 人体和临床前模型中的体内MRI,PET,CT和光学成像的仪器以及 图像处理和时空统计中的广泛专业知识和资源。 为了回应PAR-21-112 ADRD”将吸引来自生物学和定量科学的学位和博士后学员 寻求研究职业的背景专注于ADRD的神经影像。核心课程 涵盖神经影像学方法将与1)疾病成像研究中的专门研究结合 机制,2)成像生物标志物和神经成像试验,或3)统计和计算方法 神经影像数据。一个潜水员教师,具有神经影像学领域的研究和心理记录 和相关领域将参加,每个学员都从教师那里获得双重精神职务 专业知识。拟议培训计划的目的是1)培训下一代ADRD 神经影像学研究人员,2)通过努力增加神经影像学研究的多样性 计划受训者和计划教师的多样性,3)扩大本地ADRD神经影像学研究 通过参与具有相关领域专业知识的培训教师,以及4) 负责任的研究和实验性严谨性,特别是适用于神经影像。

项目成果

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JOHN A DETRE其他文献

JOHN A DETRE的其他文献

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{{ truncateString('JOHN A DETRE', 18)}}的其他基金

Serial Physiologic MRI in Minor Stroke with Large Vessel Occlusion
伴有大血管闭塞的小中风的系列生理 MRI
  • 批准号:
    10432419
  • 财政年份:
    2022
  • 资助金额:
    $ 31.85万
  • 项目类别:
Cross-disciplinary training in translational neuroimaging of ADRD
ADRD 转化神经影像学跨学科培训
  • 批准号:
    10617812
  • 财政年份:
    2022
  • 资助金额:
    $ 31.85万
  • 项目类别:
Serial Physiologic MRI in Minor Stroke with Large Vessel Occlusion
伴有大血管闭塞的小中风的系列生理 MRI
  • 批准号:
    10598577
  • 财政年份:
    2022
  • 资助金额:
    $ 31.85万
  • 项目类别:
Neuroimaging Core
神经影像核心
  • 批准号:
    10264234
  • 财政年份:
    2021
  • 资助金额:
    $ 31.85万
  • 项目类别:
Neuroimaging Core
神经影像核心
  • 批准号:
    10663897
  • 财政年份:
    2021
  • 资助金额:
    $ 31.85万
  • 项目类别:
Neuroimaging Core
神经影像核心
  • 批准号:
    10461090
  • 财政年份:
    2021
  • 资助金额:
    $ 31.85万
  • 项目类别:
Novel Biomarkers of Small Vessel Contributions to Vascular Cognitive Impairment and Dementia (VCID)
小血管对血管认知障碍和痴呆 (VCID) 贡献的新型生物标志物
  • 批准号:
    10436194
  • 财政年份:
    2019
  • 资助金额:
    $ 31.85万
  • 项目类别:
Novel Biomarkers of Small Vessel Contributions to Vascular Cognitive Impairment and Dementia (VCID)
小血管对血管认知障碍和痴呆 (VCID) 贡献的新型生物标志物
  • 批准号:
    10201780
  • 财政年份:
    2019
  • 资助金额:
    $ 31.85万
  • 项目类别:
Novel Biomarkers of Small Vessel Contributions to Vascular Cognitive Impairment and Dementia (VCID)
小血管对血管认知障碍和痴呆 (VCID) 贡献的新型生物标志物
  • 批准号:
    10683733
  • 财政年份:
    2019
  • 资助金额:
    $ 31.85万
  • 项目类别:
ARTERIAL SPIN LABELING (ASL)
动脉旋转标签 (ASL)
  • 批准号:
    8361967
  • 财政年份:
    2011
  • 资助金额:
    $ 31.85万
  • 项目类别:

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揭示 ADRD 中种族不平等的机制:心理社会风险和白质完整性的弹性因素
  • 批准号:
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    10748606
  • 财政年份:
    2024
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Core B: B-HEARD Core
核心 B:B-HEARD 核心
  • 批准号:
    10555691
  • 财政年份:
    2023
  • 资助金额:
    $ 31.85万
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The contribution of air pollution to racial and ethnic disparities in Alzheimer’s disease and related dementias: An application of causal inference methods
空气污染对阿尔茨海默病和相关痴呆症的种族和民族差异的影响:因果推理方法的应用
  • 批准号:
    10642607
  • 财政年份:
    2023
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Hospice exposure and utilization among older African Americans with ADRD and their decisional support persons
患有 ADRD 的老年非洲裔美国人及其决策支持人员的临终关怀暴露和利用
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    2023
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