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中文摘要
翻译
活体成像技术已经有了很大的进步,这使得神经科学家能够可视化 分子、细胞和系统生理学和功能。为了充分利用神经成像技术, 重要的是要了解基本原理,数据检测,数据建模和可视化。 此外,每种技术都有其自身的优势和局限性。为了培养学生的协同能力, 多种互补的神经成像模式,我们建议继续多模式神经成像 由匹兹堡大学和卡内基梅隆大学联合举办的培训项目(MNTP), 它包括博士前研究生课程和短期6周的夏季研讨会。MNTP 现有的认知神经基础研究生课程中心的研究生课程有以下内容 具体目标; 1)所有参与学科的学生都接受基础神经科学培训, 神经影像学研究。2)学生了解MR!的基本原理、建模和应用, 扩散张量成像,功能性MRI,正电子发射断层扫描,脑磁图, 脑电图、功能性近红外光谱和光学成像。3)学生融入 多种方法,并开展多模式神经成像项目。除了博士前T90/R90 计划,一个短期的MNTP夏季研讨会建议继续提供为期六周的计划, 向有经验的目标学生和研究人员教授多模态神经成像的协同作用 在一种成像模式中,并希望将其培训扩展到其他模式。夏季计划将 包括基本讲座,动手团队项目,成像项目的整合,和多模态研讨会, 强调多种成像模式的方法学。在上一次融资期间,这一独特的 暑期计划已经很好地发展。我们的暑期课程使学员能够利用协同, 用于研究神经科学问题的补充成像模式。短期计划有 以下具体目标:1)确保所有参与培训的学员学习基本原则,潜力, 以及几种技术的局限性。2)为了确保学员学习如何设计范例,收集和 处理神经成像数据,并解释其结果。3)确保受训者整合多种方法 协同合作,并在其本国研究所开展多模式神经成像项目。我们提出的方案 将培训研究人员充分处理日益复杂的组合多模式 神经成像数据与各种数据采集和处理方法的知识,以及适当的 解释。这将加速多种成像模式在基础和临床应用中的协同应用。 临床神经科学研究在动物和人类。
英文摘要
There have been great advances in in-vivo imaging techniques, which allow neuroscientists to visualize molecular, cellular and system physiology and functions. To fully utilize neuroimaging techniques, it is important to understand underlying principles, data detection, and data modeling and visualization. Furthermore, each technique has its' own strengths and limitations. In order to train students the synergy of multiple complementary neuroimaging modalities, we propose to continue the Multimodal Neuroimaging Training Program (MNTP) jointly run by both the University of Pittsburgh and Carnegie Mellon University, which consists of the pre-doctoral graduate program and a short-term 6-week Summer Workshop. The MNTP graduate program within the existing Center for Neural Basis of Cognition Graduate Program has the following specific aims; 1) Students for all participating disciplines receive basic neuroscience training for integrative neuroimaging research. 2) Students understand underlying principles, modeling, and applications of MR!, diffusion tensor imaging, functional MRI, positron emission tomography, magnetoencephalography, electroencephalography, functional near-infrared spectroscopy, and optical imaging. 3) Students integrate multiple methods and carry out multimodal neuroimaging projects. In addition to the pre-doctoral T90/R90 program, a short-term MNTP Summer Workshop is proposed to continue offering the six-week program for teaching the synergy of multi-modal neuroimaging to targeted students and investigators who have experience in one imaging modality and want to expand their training to other modalities. The Summer program will consist of basic lectures, hands-on team projects, integration of imaging projects, and multimodal symposium, emphasizing the methodologies of multiple imaging modalities. During the last funding period, this unique Summer program has been well-developed. Our Summer program enables trainees to utilize synergetic, complementary imaging modalities for investigating neuroscience questions. The short-term program has the following specific aims: 1) To ensure that all participating trainees learn the underlying principles, potentials, and limitations of several technologies. 2) To ensure trainees learn how to design paradigms, collect and process neuroimaging data, and to interpret their results. 3) To ensure trainees integrate multiple methods synergistically and carry out multi-modal neuroimaging projects in their home institutes. Our proposed program will train researchers for adequate handling of the increasing complexity of combining multimodal neuroimaging data with the knowledge of various data acquisition and processing approaches, and appropriate interpretations. This will speed up the synergistic application of multiple imaging modalities to basic and clinical neuroscience research in animals and humans.
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9.4T MR Instrument Console Upgrade
Noninvasive MR imaging of cerebral arterial blood volume in humans
Noninvasive MR imaging of cerebral arterial blood volume in humans
HYPERCAPNBIC NORMALIZATION OF BOLD FMRI: COMPARISON ACROSS FIELD STRENGTHS & PU
  • 批准号:
    7721345
  • 项目类别:
  • 资助金额:
    $1.78万
  • 财政年份:
    2008
  • 负责人:
    SEONG KIM
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data