Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
复制标题
DOI：
10.1038/nprot.2007.45
复制
发表时间：
2007-01-01
期刊：
影响因子：
14.8
通讯作者：
Behrens, Timothy E. J.
中科院分区：
文献类型：
--
作者：
Smith, Stephen M.;Johansen-Berg, Heidi;Behrens, Timothy E. J.
利用磁共振扩散成像通过测量水在白色物质束中的扩散来提供关于脑中解剖学连接的信息具有很大的兴趣。在这些措施中，最常见的来自扩散数据的是分数各向异性（FA），它量化了局部道的方向性和完整性。许多多学科成像研究正在使用FA图像来定位与发育、变性和疾病相关的大脑变化。在最近的一篇论文中，我们提出了一种新的方法，基于轨迹的空间统计（TBSS），旨在解决跨学科数据对齐的关键问题，允许本地化的跨学科统计分析。这是通过将研究对象之间一致的区域中心的数据转换到公共空间来实现的。在本协议中，我们描述了MRI数据采集和分析协议所需的TBSS研究的局部变化，在多个科目的大脑连接。
There is much interest in using magnetic resonance diffusion imaging to provide information on anatomical connectivity in the brain by measuring the diffusion of water in white matter tracts. Among the measures, the most commonly derived from diffusion data is fractional anisotropy (FA), which quantifies local tract directionality and integrity. Many multi-subject imaging studies are using FA images to localize brain changes related to development, degeneration and disease. In a recent paper, we presented a new approach, tract-based spatial statistics (TBSS), which aims to solve crucial issues of cross-subject data alignment, allowing localized cross-subject statistical analysis. This works by transforming the data from the centers of the tracts that are consistent across a study's subjects into a common space. In this protocol, we describe the MRI data acquisition and analysis protocols required for TBSS studies of localized change in brain connectivity across multiple subjects.