课题基金 / 基金详情

BRAIN Integrated Resource for Human Anatomy and Intracranial Neurophysiology

BRAIN Integrated Resource for Human Anatomy and Intracranial Neurophysiology
BRAIN 人体解剖学和颅内神经生理学综合资源
批准号:
10505412
负责人:
Dominique Duncan
金额:
$114.29万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-09 至 2025-09-08

项目摘要

项目成果

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中文摘要
翻译
项目摘要/摘要 接受神经外科干预的患者的颅内记录提供了一个独特的机会,直接 获取、研究和了解人类正常的大脑功能和神经精神疾病。因为他们的 价值,美国国立卫生研究院通过大脑倡议在这一研究领域进行了重大投资,并已 同样需要通过大脑数据档案倡议(DABI)对数据进行公共存档。与 Dabi积累了500多个受试者的数据,为进行大规模研究提供了一个独特的机会 使用来自多个地点的数据和调查。此外,由于包含了神经生理学和 成像数据(包括解剖成像和基于连接的成像),Dabi有可能解决重要的 关于人类神经生理学中的功能-解剖关系和可变性来源的问题 年龄、疾病和解剖学。有一个强有力的新兴但尚未被探索的文献表明,神经振荡 模式与大脑形态计量学有关,然而,以更高的空间精度和光谱来探索这一点的工具 敏感度目前不可用。虽然Dabi数据的多模式特性有可能显著 由于受到这些问题的影响,数据目前的形式不能使其易于访问或分析。这个 人类解剖学和颅内神经生理学的脑综合资源,B(RAIN)2,有一个总体目标 创建一个空间整合和标准化的数据集,使如此大规模的研究成为可能。在目标1中, 我们将(1)根据所需的数据元素(以及征集数据)确定和整理数据以纳入B(RAIN)2 来自大脑资助的研究人员的附加存档),(2)执行标准化的神经生理信号 处理和解剖定位,(3)执行标准的解剖图像处理,基于人体 Connectome项目框架和已建立的质量控制措施,以及(4)将所有数据转换为 用于大规模分析的标准空间。为了确保B(RAIN)2的高影响和持续增长,在目标2中,我们 将共享、记录和定义用于持续数据集成的渠道,包括网络研讨会和培训 模块,并为潜在用户提供支持。最后,在目标3中,我们将进行一个示范项目,以 突出B(RAIN)2的力量,研究运动皮质β功率与峰值之间的关系 频率作为皮质厚度、连通性和疾病的函数。拟议的工作将使 研究人员利用通过大脑资助收集的颅内生理和神经成像的力量 网站以增加这些有价值的和相对罕见的信号的力量和影响。未来的调查人员将使用 B(RAIN)2在本地和标准空间中执行解剖学和生理学标准化指标 对人体神经振荡器变异的解剖学贡献进行了新颖的分析并获得了独特的见解 信号。
英文摘要
PROJECT SUMMARY/ABSTRACT Intracranial recordings in patients undergoing neurosurgical interventions provide a unique opportunity to directly access, study, and learn about both normal human brain function and neuropsychiatric disease. Because of their value, the NIH has made significant investments in this line of research through the BRAIN Initiative and has likewise required public archiving of data through the Data Archive for the BRAIN Initiative (DABI). With the accumulation of data from over 500 subjects, DABI presents a unique opportunity to conduct large scale studies using data from multiple sites and investigations. Moreover, with the inclusion of both neurophysiological and imaging data (including anatomic and connectivity-based imaging), DABI has the potential to address important questions about functional-anatomic relationships in human neurophysiology and sources of variability across age, disease, and anatomy. There is a strong emerging yet underexplored literature that neural oscillation patterns relate to brain morphometry, yet the tools to explore this with greater spatial precision and spectral sensitivity are currently unavailable. While the multimodal nature of DABI data has the potential to significantly impact such questions, the data is not currently in a form that makes it easily accessible or analyzable. The BRAIN integrated Resource for human Anatomy and Intracranial Neurophysiology, B(RAIN)2, has an overall aim of creating a spatially integrated and standardized dataset that will enable such large scale studies. In Aim 1, we will (1) identify and curate data for inclusion in B(RAIN)2 based on required data elements (as well as solicit additional archiving from BRAIN funded investigators), (2) perform standardized neurophysiological signal processing and anatomic localization, (3) perform standard anatomic image processing, based on the Human Connectome Project framework and established quality control measures, and (4) transform all data into a standard space for large scale analyses. To ensure high impact and continued growth of B(RAIN)2, in Aim 2, we will share, document, and define pipelines for continued data integration, including webinars and training modules and providing support to potential users. Finally, in Aim 3, we will conduct a demonstration project to highlight the power of B(RAIN)2, investigating the relationships between motor cortical beta power and peak frequency as a function of cortical thickness, connectivity, and disease. The proposed work will enable investigators to harness the power of intracranial physiology and neuroimaging collected across BRAIN-funded sites to increase the power and impact of these valuable and relatively rare signals. Future investigators will use the B(RAIN)2 standardized metrics across anatomy and physiology in both native and standard space to perform novel analyses and gain unique insights into anatomic contributions to variability in human neural oscillator signals.
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SCH: INT: Collaborative Research: Multimodal Signal Analysis and Data Fusion for Post-traumatic Epilepsy
  • 批准号:
    10093160
  • 项目类别:
  • 资助金额:
    $24.35万
  • 财政年份:
    2019
  • 负责人:
    Dominique Duncan
  • 依托单位:
SCH: INT: Collaborative Research: Multimodal Signal Analysis and Data Fusion for Post-traumatic Epilepsy
  • 批准号:
    9756832
  • 项目类别:
  • 资助金额:
    $25.03万
  • 财政年份:
    2019
  • 负责人:
    Dominique Duncan
  • 依托单位:
SCH: INT: Collaborative Research: Multimodal Signal Analysis and Data Fusion for Post-traumatic Epilepsy
  • 批准号:
    9921505
  • 项目类别:
  • 资助金额:
    $24.56万
  • 财政年份:
    2019
  • 负责人:
    Dominique Duncan
  • 依托单位:
Data Archive for the Brain Initiative (DABI)
  • 批准号:
    10428480
  • 项目类别:
  • 资助金额:
    $122.89万
  • 财政年份:
    2018
  • 负责人:
    Dominique Duncan
  • 依托单位:
海外基金