fMRI Detection by Clustering Model Fitting Parameters

描述（由申请人提供）：本文提出的项目将为功能性磁共振成像（fMRI）数据开发一个灵活的分析框架，该框架将通过血液动力学响应模型的统计评价识别多体素激活区域，该模型适合观察到的血氧水平依赖性效应响应。拟议的框架将允许纳入多个血流动力学反应模型，可用于评估功能磁共振成像反应的单次试验和平均（封锁）的基础上。除了在识别“真正的”fMRI激活方面的预期改进之外，该框架预计能够通过打破分析每个个体体素的统计显著性并随后将“显著的”体素分组到激活区域的传统来降低汇总图像中的背景噪声水平。最后，这个框架还将使我们能够识别共同激活的区域，或者至少表现出类似的时间结构，以响应刺激，独立于个体反应的幅度，从而为功能连接的研究提供了一种新的工具。目的：开发一个新的框架，功能磁共振成像数据分析，使用先验知识的实验范式和血流动力学反应，以检测激活区域的基础上。实现这一建议的具体目标将提供一个强大的工具，可以大大提高功能磁共振成像社区获得的未来成果。开发一个分析程序，重点放在（潜在的不相交）多体素感兴趣的区域作为基本的激活单元进行检测，将增加检测到的体素是一个真正的检测的概率，增强功能磁共振成像的有用性，进一步了解正常和紊乱的皮层活动。

DESCRIPTION (provided by applicant): The project proposed herein will develop a flexible analytical framework for functional magnetic resonance imaging (fMRI) data that will identify multi-voxel regions of activation through statistical evaluation of hemodynamic response model fits to the observed blood-oxygenation level-dependent effect responses. The proposed framework will allow the incorporation of multiple hemodynamic response models that may be used to evaluate fMRI responses both on a single-trial and averaged (blocked) basis. In addition to an expected improvement in the identification of "true" fMRI activation, this framework is expected to be capable of reducing the background noise level in summary images by breaking from the tradition of analyzing each individual voxel for its statistical significance and subsequently grouping "significant" voxels into regions of activation. Finally, this framework will also allow us to identify regions that are co-activated, or at least exhibit similar temporal structure in response to the stimulation, independent of the amplitude of the individual responses, thus contributing a new tool to studies of functional connectivity. Aim: Develop a novel framework for fMRI data analysis that uses a priori knowledge of both the experimental paradigm and hemodynamic response to detect activation on a regional basis. Achievement of the specific aim of this proposal will provide a powerful tool that may greatly enhance the future results obtained by the functional MRI community. Development of an analytical procedure that focuses on (potentially disjoint) multi-voxel regions of interest as the fundamental activation unit to be detected will increase the probability of a detected voxel being a true detection, enhancing the usefulness of fMRI in furthering our understanding of both normal and disordered cortical activity.