Multimodal Data Acquisition (MDA) Core

多模式数据采集 (MDA) 核心

• 批准号: 10324138
• 负责人: JULIA MARIE STEPHEN
• 金额: $ 32.7万
• 依托单位: LOVELACE BIOMEDICAL RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-18 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10324138
• 关键词: Multimodal; Data; Acquisition; MDA; Core

Project Summary/Abstract The Phase III multimodal data acquisition (MDA) core provides: 1) state-of-the-art neuroimaging protocols for stable and reliable imaging; 2) training of principal investigators (PIs) and their support staff on general and practical aspects of acquiring neuroimaging data (e.g., physics of imaging, how to avoid and correct for motion artifacts); and 3) new technological development to answer questions that will lead to new core capabilities and help future users of the MDA core. Specifically, the MDA core will support neuroimaging protocols based on magnetic resonance imaging (MRI), magnetoencephalography (MEG) and electroencephalography (EEG). These protocols include high resolution structural MRI (sMRI), diffusion MRI (dMRI) to map fiber connectivity, functional MRI (fMRI) to characterize changes in blood oxygenation as a consequence of neuronal activation, MEG/EEG to directly monitor neuronal activation with high temporal resolution, and MR spectroscopy (MRS) to measure brain metabolic profiles. The emphasis is on multimodal imaging so each Project PI will acquire imaging data from some combination of the above including concurrent EEG-fMRI or MEG-EEG. Training of PIs and support personnel consists primarily of lectures embedded within weekly meetings and a formal monthly seminar series managed by the administrative, clinical assessment, and mentoring (ADM) core. New MRI protocols will be developed during Phase III that take full advantage of the 32-channel radio-frequency (RF) coil now available at MRN. New developments include: 1) examining white matter integrity (myelin maps and structural connectivity); 2) attaining higher temporal resolution in concurrent EEG-fMRI experiments for studying dynamic changes in functional connectivity; 3) developing optimal methods for removal of physiological noise; and 4) optimizing three-dimensional GABA measurement methods to enable reliable measurements over smaller voxels. This core is led by Dr. Julia Stephen (MRN) with over 20 years of experience in MEG/EEG methods, along with MR physicists Drs. Arvind Caprihan (MRN) and Stefan Posse (UNM Neurology) who each have 20+ years of experience with MR-based methods. Drs. Larry Wald (MGH) and Matthew Brookes (Univ. Nottingham) are consultants on this core.

项目总结/摘要 第三阶段多模式数据采集（MDA）核心提供：1）最先进的神经成像协议 稳定可靠的成像; 2）对主要研究者（PI）及其支持人员进行一般和 获取神经成像数据的实际方面（例如，成像物理学，如何避免和纠正运动 人工制品）;以及3）新的技术发展，以回答将导致新的核心能力的问题， 帮助MDA核心的未来用户。具体来说，MDA核心将支持基于以下内容的神经成像协议： 磁共振成像（MRI）、脑磁图（MEG）和脑电图（EEG）。 这些方案包括高分辨率结构MRI（sMRI）、用于映射纤维连接的扩散MRI（dMRI）， 功能性MRI（fMRI）来表征作为神经元激活的结果的血氧变化， MEG/EEG以高时间分辨率直接监测神经元激活，MR波谱（MRS） 测量大脑代谢情况重点是多模态成像，因此每个项目PI将采集成像 来自上述的一些组合的数据，包括同时进行的EEG-fMRI或MEG-EEG。培训PI和 支助人员主要包括每周会议中的讲座和每月一次的正式研讨会 由行政、临床评估和指导（ADM）核心管理的系列。新的MRI方案将 在第三阶段期间开发，充分利用现有的32通道射频（RF）线圈 在MRN。新的发展包括：1）检查白色物质的完整性（髓鞘地图和结构 连接）; 2）在研究动态变化的并发EEG-fMRI实验中获得更高的时间分辨率 在功能连接; 3）开发最佳的方法来消除生理噪音;和4）优化 三维GABA测量方法，以实现对较小体素的可靠测量。这一核心 由Julia Stephen博士（MRN）领导，他在MEG/EEG方法方面拥有超过20年的经验，沿着MR 物理学家Arvind Caprihan博士（MRN）和Stefan波塞博士（UNM神经病学），他们都有20多年的经验 基于MR的方法Larry Wald博士（MGH）和Matthew Brookes博士（诺丁汉大学）是 这个核心。