FMRI ABILITY TO MAP COLUMNAR STRUCTURES IN HUMANS

FMRI 绘制人体柱状结构的能力

• 批准号: 8170453
• 负责人: ESSA YACOUB
• 金额: $ 2.57万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170453
• 关键词: Animal Model; Animals; Brain; Computer Retrieval of Information on Scientific Projects Database; Cortical Column; Development; Functional Magnetic Resonance Imaging; Funding; Grant; Human; Institution; Maps; Modeling; Research; Research Personnel; Resolution; Resources; Source; Specificity; Structure; Techniques; United States National Institutes of Health; millimeter; orientation columns

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. During the past 4 years, we have challenged the limits of BOLD fMRI to the level of sub-millimeter structures (i.e. cortical columns) in humans and laminar specificity in the animal model. We have established that SE BOLD technique at high fields is more suitable for mapping columnar structures. Our strategy of employing high-field SE BOLD contrast has allowed us to explore, in addition to ODCs, orientation columns in the human brain, which were previously unmapped. Here, we will develop new capabilities for larger volume coverage for high-resolution fMRI acquisitions in humans as well as continued application and development of a high resolution animal fMRI model.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 在过去的 4 年里，我们挑战了 BOLD fMRI 在人类亚毫米结构（即皮质柱）水平和动物模型层状特异性方面的局限性。我们已经确定，高场 SE BOLD 技术更适合绘制柱状结构。我们采用高场 SE BOLD 对比度的策略使我们能够探索除了 ODC 之外的人脑中的定向柱，这是以前未绘制的。在这里，我们将开发新的功能，以实现人类高分辨率功能磁共振成像采集的更大体积覆盖，以及高分辨率动物功能磁共振成像模型的持续应用和开发。