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.

项目总结