FMRIB (Oxford Centre for Functional MRI of the Brain), Oxford University, Oxford, UK.
Neuroimage. 2013 Oct 15;80:144-68. doi: 10.1016/j.neuroimage.2013.05.039. Epub 2013 May 20.
Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for the Human Connectome Project (the other being diffusion MRI). A key objective is to generate a detailed in vivo mapping of functional connectivity in a large cohort of healthy adults (over 1000 subjects), and to make these datasets freely available for use by the neuroimaging community. In each subject we acquire a total of 1h of whole-brain rfMRI data at 3 T, with a spatial resolution of 2×2×2 mm and a temporal resolution of 0.7s, capitalizing on recent developments in slice-accelerated echo-planar imaging. We will also scan a subset of the cohort at higher field strength and resolution. In this paper we outline the work behind, and rationale for, decisions taken regarding the rfMRI data acquisition protocol and pre-processing pipelines, and present some initial results showing data quality and example functional connectivity analyses.
静息态功能磁共振成像(rfMRI)允许人们在 MRI 扫描仪中躺着不动的情况下获取 fMRI 数据,利用功能相关的大脑区域自发协同激活的事实来研究大脑的功能连接。rfMRI 是人类连接组计划(Human Connectome Project,HCP)中获取的两种主要数据模态之一(另一种是扩散 MRI)。一个关键目标是在大量健康成年人(超过 1000 名受试者)中生成详细的功能连接活体图谱,并将这些数据集免费提供给神经影像学社区使用。在每个受试者中,我们在 3T 下总共采集了 1 小时的全脑 rfMRI 数据,空间分辨率为 2×2×2mm,时间分辨率为 0.7s,充分利用了切片加速回波平面成像的最新进展。我们还将在更高的场强和分辨率下对队列的一部分进行扫描。在本文中,我们概述了 rfMRI 数据采集协议和预处理管道背后的工作和决策的基本原理,并展示了一些初始结果,显示了数据质量和示例功能连接分析。