Neuroimaging Core

神经影像核心

• 批准号: 8427839
• 负责人: EINAR MENCL
• 金额: $ 15.13万
• 依托单位: HASKINS LABORATORIES, INC.
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8427839
• 关键词: Automation; Boxing; Code; Communication; Competence; Computer software; Computers; Data; Data Analyses; Development; Electroencephalography; Event; Event-Related Potentials; Fostering; Functional Magnetic Resonance Imaging; Goals; Housing; Human Resources; Image; Instruction; Laboratories; Language; Life; Linux; Magnetic Resonance Imaging; Medical; Methodology; Nature; Near-Infrared Spectroscopy; Neuroanatomy; Neurobiology; Outcome; Persons; Physics; Postdoctoral Fellow; Procedures; Process; Program Efficiency; Quality Control; Research Personnel; Resources; Running; Scientist; Site; Speech; Standardization; Techniques; Testing; Training; Writing; computerized data processing; data acquisition; design; imaging modality; meetings; neuroimaging; programs; research study; response

The Neuroimaging Core (Core B, NC) will provide expertise and support for acquisition and analysis of structural and functional Magnetic Resonance Imaging (sMRI/fMRI), functional Near-Infrared Spectroscopy (NIRS), and electroencephalography/event related potentials (EEG/ERP). By providing a centralized organizatlon for use of these techniques across multiple Projects, the NC will greatly increase efficiency of the Program as a whole by eliminating redundancy and providing common processing procedures and automation. Further, it will enable comparability across Projects and sites, by providing standardization in acquisition and analysis. The speciflc strengths of the Core Director and Invesflgators support each methodology: key personnel include experts Dr. Einar Mend, Core Director (structural and funcflonal MRI); Dr. Nicole Landi (EEG/ERP); and Heather Bortfeld (NIRS). Select consultants provide additional expertise: Dr. Robert Fulbright (neuroanatomy and medical review); Dr. Todd Constable (MR physics); and Dr. Ching-Po Lin (flbertract.imaging using DTI and DSI). Computaflonal resources are extensive, including multiple Linux and PC boxes, and a 40-core Mac Xgrid network running all necessary MR software packages and in-house developed Maflab programs. ERP and NIRS data processing are supported by dedicated Macintosh Pro computers. The NC will maintain wikis for communication and QC across sites, and provide local (weekly in person) and global (monthly via Skype) meetings for relevant staff and scientists. The NC will instantiate and maintain quality control and comparability of data acquisitions within each technique, across the multiple sites. As needed, NC staff will provide training of scientists and research associates across Projects in data acquisition and analysis. The NC will provide support for the proper design of experiments to take advantage of the particular strengths of each imaging modality. NC staff will preprocess and perform initial subject-level analysis for all MRI data collected at Haskins Laboratories, and provide support to Project scientists performing main across-subjects analyses for hypothesis testing. Finally, the NC staff will actively develop new techniques for acquisition and analysis to support the scientific goals of the Project.

神经影像核心（核心 B，NC）将为结构和功能磁共振成像 (sMRI/fMRI)、功能性近红外光谱 (NIRS) 和脑电图/事件相关电位 (EEG/ERP) 的采集和分析提供专业知识和支持。通过提供一个集中组织在多个项目中使用这些技术，NC 将消除冗余并提供通用处理程序和自动化，从而大大提高整个程序的效率。此外，它将通过提供采集和分析的标准化来实现项目和站点之间的可比性。核心主任和研究者的具体优势支持每种方法：关键人员包括专家 Einar Mend 博士，核心主任（结构和功能 MRI）； Nicole Landi 博士（脑电图/ERP）；和希瑟·博特菲尔德 (NIRS)。精选顾问提供额外的专业知识：Robert Fulbright 博士（神经解剖学和医学审查）； Todd Constable 博士（MR 物理学）；和 Ching-Po Lin 博士（使用 DTI 和 DSI 的 flbertract.imaging）。计算资源非常广泛，包括多个 Linux 和 PC 机，以及运行所有必要的 MR 软件包和内部开发的 Maflab 程序的 40 核 Mac Xgrid 网络。 ERP 和 NIRS 数据处理由专用 Macintosh Pro 计算机支持。 NC 将维护用于跨站点沟通和质量控制的 wiki，并为相关工作人员和科学家提供本地（每周亲自）和全球（每月通过 Skype）会议。 NC 将实例化并维护跨多个站点的每种技术内数据采集的质量控制和可比性。根据需要，NC 工作人员将为跨领域的科学家和研究人员提供培训 数据采集​​和分析项目。 NC 将为正确的实验设计提供支持，以利用每种成像方式的特定优势。 NC 工作人员将对哈斯金斯实验室收集的所有 MRI 数据进行预处理和初始受试者级分析，并为项目科学家提供支持，以进行假设检验的主要跨受试者分析。最后，NC 工作人员将积极开发新的采集和分析技术，以支持该项目的科学目标。