课题基金 / 基金详情

Multimodal Data Acquisition (MDA) Core

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
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-18 至 2023-04-30

项目摘要

项目成果

JULIA MARIE STEPHEN的其他基金

相似基金

相关文献

中文摘要
翻译
项目摘要/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 为稳定和可靠的成像;2)培训首席调查员及其支助人员关于一般和 获取神经成像数据的实际方面(例如,成像的物理、如何避免和纠正运动 人工制品);以及3)新技术开发,以回答将导致新的核心能力和 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(EEG)检查。 这些协议包括高分辨率结构磁共振成像(SMRI)、绘制纤维连接图的扩散磁共振成像(DMRI)、 功能磁共振成像(FMRI)以表征由于神经元激活而导致的血氧变化, 脑磁图/脑电以高时间分辨率直接监测神经元激活,磁共振波谱(MRS)用于 测量大脑代谢情况。重点是多模式成像,因此每个项目PI都将获得成像 来自上述某些组合的数据,包括同时进行的EEG-fMRI或MEG-EEG。PIs和PIs培训 支持人员主要包括每周会议和每月正式研讨会中的讲座 由行政、临床评估和指导(ADM)核心管理的系列。新的核磁共振成像协议将 将在第三阶段开发,充分利用现有的32通道射频(RF)线圈 在MRN。新的进展包括:1)检查白质的完整性(髓鞘图谱和结构 连通性);2)在用于研究动态变化的并行EEG-fMRI实验中获得更高的时间分辨率 在功能连通性方面;3)开发去除生理噪声的最佳方法;以及4)优化 三维GABA测量方法,能够在较小的体素上进行可靠的测量。这个核心 由朱莉娅·斯蒂芬博士(MRN)领导,她在脑磁图/脑电方法方面拥有20多年的经验,与MR 物理学家Arvind Caprihan博士(MRN)和Stefan Posse博士(UNM神经病学),各自有20年的经验 使用基于MR的方法。拉里·沃尔德博士(麻省理工学院)和马修·布鲁克斯博士(大学诺丁汉)的顾问 这个核心。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
The synchrony study: A randomized controlled trial of music training for children with FASD
Attending to all children: Examining the role of alpha oscillations in attention in young children with and without prenatal alcohol exposure (AsCENd)
TRANSFER Examining the interplay between resting oscillations, novelty processing, and attention in PTSD
Supplement to: Examining the interplay between resting oscillations, novelty processing, and attention in PTSD
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: