Collaborative Research: Fast Functional MRI

合作研究：快速功能 MRI

• 批准号: 0804198
• 负责人: Martin Lindquist
• 金额: $ 5.46万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0804198&HistoricalAwards=false
• 关键词: Collaborative; Research; Fast; Functional; MRI

The problem addressed by the proposal is to find, for a given higher cognition task, one or more regions of the brain where oxygen is consumed in performing the task. The investigators approach is to use the so-called initial negative dip, which is caused by the initial consumption of oxygen in the blood reserve pool in an active brain region, in order to observe, in real time the location and timing order of brain activation when a human performs the higher cognition task. The standard approach, which relies on the stronger but much slower positive rise, due to the resupply of blood to the regions several seconds after activation, is inadequate for determining the temporal ordering of brain activity in different regions. The investigators have developed an elegant and highly efficient echo-volumar imaging (EVI) sampling scheme for performing fast functional Magnetic Resonance Imaging (fMRI), along with the necessary tools needed for image reconstruction and statistical analysis of the resulting data sets. They have used their techniques to conduct higher cognition experiments using a variety of paradigms, and were consistently able to detect the negative dip and exhibit its statistical significance. In addition, they demonstrated that the negative dip appears in different brain regions in the same temporal sequence as the corresponding brain activation according to the experimental paradigms, and that the timing of the positive rise is at times confounded. The proposed research, which will further develop the investigators methods, includes the design of EVI trajectories for the newest and most powerful 7 Tesla scanners and more complicated multiple coil systems, in order to improve the spatial and time resolutions of their approach. New image reconstruction methods will also be developed for the multi-coil data and the investigators statistical analysis tools will be validated and carefully improved.This proposal focuses on developing statistical methods and related theory for performing fast fMRI. The proposed research will further advance and use the methods developed by the principle investigators and their collaborators to sharply improve the time-resolution for the blood oxygen level dependence technique of functional magnetic resonance imaging. In its current implementation the investigators method is able to measure brain volumes every 100ms compared to 2000ms for standard fMRI, thereby allowing fMRI studies to be performed at an unprecedented temporal resolution. Fast fMRI is expected to have profound and far-reaching consequences in the understanding of brain function, a problem of central scientific interest at the present time.

该提议解决的问题是，对于一个给定的高级认知任务，在执行任务时，要找到大脑中消耗氧气的一个或多个区域。研究者的方法是使用所谓的初始负下降，这是由大脑活跃区域的血液储备池中氧气的初始消耗引起的，以便实时观察人类在执行高级认知任务时大脑激活的位置和时间顺序。标准的方法依赖于更强但更慢的正上升，这是由于血液在激活后几秒钟内重新供应到这些区域，这对于确定不同区域大脑活动的时间顺序是不够的。研究人员开发了一种优雅而高效的回声体积成像（EVI）采样方案，用于执行快速功能磁共振成像（fMRI），以及图像重建和结果数据集统计分析所需的必要工具。他们利用他们的技术进行了使用各种范式的高级认知实验，并始终能够检测到负倾角并显示其统计显著性。此外，他们还证明，根据实验范式，消极的下降出现在不同的大脑区域，与相应的大脑激活在同一时间序列中，并且积极上升的时间有时是混淆的。拟议的研究将进一步发展研究人员的方法，包括为最新和最强大的7特斯拉扫描仪和更复杂的多线圈系统设计EVI轨迹，以提高其方法的空间和时间分辨率。针对多线圈数据，还将开发新的图像重建方法，并对研究者的统计分析工具进行验证和仔细改进。本建议的重点是发展统计方法和相关理论，以执行快速功能磁共振成像。本研究将进一步推进和利用主要研究者及其合作者所开发的方法，大幅提高功能磁共振成像血氧水平依赖技术的时间分辨率。在目前的实施中，研究人员的方法能够每100毫秒测量一次脑容量，而标准功能磁共振成像是每2000毫秒，从而使功能磁共振成像研究能够以前所未有的时间分辨率进行。快速功能磁共振成像有望在理解大脑功能方面产生深远的影响，这是目前科学兴趣的中心问题。