Behavior and Neurodata Core

行为和神经数据核心

• 批准号: 10630555
• 负责人: DAVID L SHEINBERG
• 金额: $ 73.78万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10630555
• 关键词: Acceleration; Area; Behavior; Behavioral; Brain; Businesses; Centers of Research Excellence; Central Nervous System; Clinical; Collaborations; Communities; Complex; Consultations; Data; Data Collection; Data Set; Data Sources; Database Management Systems; Dedications; Development; Devices; Diffusion; Diffusion Magnetic Resonance Imaging; Educational workshop; Electroencephalography; Ensure; Environment; Equipment; Fees; Functional Magnetic Resonance Imaging; Galvanic Skin Response; Goals; Head; High Performance Computing; Image; Individual; Information Dissemination; Infrastructure; Internet; Knowledge; Leadership; Magnetic Resonance Imaging; Maintenance; Methods; Modeling; Modernization; Names; Nervous System Physiology; Neurosciences; Neurosciences Research; Phase; Play; Procedures; Process; Protocols documentation; Research; Research Activity; Research Infrastructure; Research Personnel; Research Project Grants; Research Project Summaries; Research Support; Resource Sharing; Resources; Rest; Rhode Island; Rodent; Role; Running; Science; Specific qualifier value; Structure; System; Techniques; Technology; Testing; Training; Transcranial magnetic stimulation; Visualization; Work; analysis pipeline; analytical tool; behavioral phenotyping; brain research; community based research; community involvement; complex data; computer infrastructure; computerized data processing; computing resources; data acquisition; data analysis pipeline; data management; data quality; data repository; data sharing; design; experimental study; fabrication; forging; meetings; multimodal neuroimaging; neuroimaging; noninvasive brain stimulation; programs; quality assurance; research facility; success; tool; transcranial direct current stimulation; visual tracking

Project Summary The research projects that have been supported by the COBRE Center for Central Nervous System Function involve a wide range of complex neuroimaging and non-invasive brain stimulation methods used both individually and in multiple combinations. These methods include, but are not limited to, structural MRI, task- based and resting state functional MRI, diffusion imaging, transcranial magnetic stimulation, transcranial direct- current and alternating-current stimulation, galvanic skin response, electroencephalography, and eye tracking. The complexity of these techniques and the challenges of mastering the infrastructure required to effectively and efficiently deploy them can significantly impede research progress, especially in the case of relatively early stage investigators. The function of the the Phase 3 Behavior and Neurodata Core (BNC) is to provide ongoing expert support, training, assistance and advice to the Brown researchers in the practical aspects of data collection, data management and data processing related to these methods. The specific aims of the BNC are (1) to continue to provide support and assistance to past COBRE Project Leaders and their research teams and the broader research community, to promote and facilitate the acquisition of high quality research data; and (2) to expand the areas of support to include new initiatives, including support for part fabrication, video tracking, and behavioral task design. To meet these aims, the Core will coordinate the deployment and maintenance of shared research infrastructure to ensure that research equipment is functional and well documented. The Core will collect and evaluate quality assurance data to ensure that data collected are of high quality and to identify and correct problems at an early stage. The Core will provide researcher training, individually and in group settings, in order to promote the use of “best practices” when collecting data using a variety of methods. It will provide expert consultation to researchers so as to guide their choices regarding the complex and interacting acquisition parameters that must be specified for various acquisition techniques. BNC experts will aid in deploying and supporting new analytical tools and platforms to ensure that researchers have access to state-of-the-art methods and tools for processing their complex data sets. The BNC will create robust data processing pipelines for the analysis of neuroscience research data that leverage the existing and growing computational infrastructure available at Brown. The BNC will assist with data management to ensure that large research datasets are available when needed and protected. In coordination with the Center for Computation and Visualization, the BNC will provide training and support for the use of high-performance computing resources. By meeting these goals, the BNC will (1) accelerate the pace of neuroscience research, (2) establish supportive collaborative relationships among COBRE investigators throughout the local research community based on common solutions to shared challenges, and (3) ensure the availability and accessibility of high quality physical and computational research infrastructure to the broader brain science community.

项目摘要 科布雷中枢神经系统功能研究中心资助的研究项目 涉及广泛的复杂神经成像和非侵入性脑刺激方法，两者都使用 单独的和多种组合的。这些方法包括但不限于结构磁共振、任务- 基于和静息状态的功能磁共振成像、弥散成像、经颅磁刺激、经颅直接... 电流和交流电刺激、皮肤电流反应、脑电和眼睛跟踪。 这些技术的复杂性以及有效掌握所需基础设施所面临的挑战 有效地部署它们可能会显著阻碍研究进展，特别是在相对较早的情况下 舞台调查员。第三阶段行为和神经数据核心(BNC)的功能是提供持续的 在数据的实际方面向布朗研究人员提供专家支持、培训、援助和建议 与这些方法相关的收集、数据管理和数据处理。BNC的具体目标是 (一)继续为历任科布雷项目负责人及其研究团队提供支持和帮助 和更广泛的研究界，促进和便利获取高质量的研究数据； 以及(2)扩大支持领域，以包括新的倡议，包括支持部件制造、视频 跟踪和行为任务设计。为了实现这些目标，核心将协调部署和 维护共享的研究基础设施，以确保研究设备运转良好 有记录在案。核心将收集和评估质量保证数据，以确保收集的数据符合 高质量，及早发现和纠正问题。核心将提供研究人员培训， 在个人和组设置中，以便在使用 方法多种多样。它将为研究人员提供专家咨询，以指导他们对 必须为各种捕获技术指定的复杂且相互作用的捕获参数。BNC 专家将协助部署和支持新的分析工具和平台，以确保研究人员 使用最先进的方法和工具来处理其复杂的数据集。BNC将创造强大的 用于分析神经科学研究数据的数据处理管道，利用现有的和 Brown提供了不断增长的计算基础设施。BNC将协助数据管理，以确保 大型研究数据集在需要和保护时可用。与该中心协调 计算和可视化，BNC将提供培训和支持使用高性能 计算资源。通过实现这些目标，BNC将(1)加快神经科学研究的步伐， (2)在整个本地研究过程中，在Cobre调查人员之间建立支持性的合作关系 以共同挑战的共同解决方案为基础的社区，以及(3)确保可用性和可及性 向更广泛的脑科学界提供高质量的物理和计算研究基础设施。