BRAIN Integrated Resource for Human Anatomy and Intracranial Neurophysiology

项目概要/摘要 接受神经外科干预的患者的颅内记录提供了直接 访问，研究和了解正常人类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计划在这一领域的研究进行了大量投资， 同样需要通过大脑计划数据档案（DABI）对数据进行公共存档。与 DABI积累了500多名受试者的数据，为开展大规模研究提供了独特的机会 使用来自多个站点和调查的数据。此外，包括神经生理学和 影像数据（包括解剖学和基于连通性的成像），DABI有潜力解决重要的 有关人类神经生理学中功能解剖关系的问题以及不同时期变异性的来源 年龄疾病和解剖学有一个强大的新兴但未充分研究的文献， 模式与大脑形态测量学有关，然而，以更高的空间精度和光谱来探索这一点的工具 敏感性目前不可用。虽然DABI数据的多模态性质有可能显着 影响这些问题，数据目前的形式不便于访问或分析。的 BRAIN人体解剖学和颅内神经生理学综合资源，B（RAIN）2，有一个总体目标 创建一个空间集成和标准化的数据集，使这种大规模的研究。在目标1中， 我们将（1）根据所需的数据元素（以及征求），识别和整理数据，以纳入B（RAIN）2 来自BRAIN资助的研究者的额外存档），（2）执行标准化神经生理信号 处理和解剖定位，（3）执行标准的解剖图像处理，基于人体 Connectome项目框架和既定的质量控制措施，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的高影响力和持续增长，在目标2中，我们 将共享、记录和定义持续数据集成的管道，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，我们将开展一个示范项目， 突出显示B（RAIN）2的功率，研究运动皮层β功率和峰值之间的关系 频率作为皮质厚度、连通性和疾病的函数。拟议的工作将使 研究人员利用脑内生理学和神经成像的力量， 网站，以增加这些宝贵的和相对罕见的信号的权力和影响。未来的研究人员将使用 B（RAIN）2标准化了原生空间和标准空间中的解剖学和生理学指标， 新颖的分析，并获得独特的见解解剖贡献的变化，在人类神经振荡器 信号.

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.