Buur Pieter F, Poser Benedikt A, Norris David G
Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands.
NMR Biomed. 2009 Jun;22(5):551-60. doi: 10.1002/nbm.1371.
In fMRI, subject motion can severely affect data quality. This is a particular problem when movement is correlated with the experimental paradigm as this potentially causes artefactual activation. A method is presented that uses linear regression, to utilise the time course of an image acquired at very short echo time (TE) as a voxel-wise regressor for a second image in the same echo train, that is acquired with high BOLD sensitivity. The value of this approach is demonstrated using task-locked motion combined with visual stimulation. Results obtained at both 1.5 and 3 T show improvements in functional activation maps for individual subjects. The method is straightforward to implement, does not require extra scan time and can easily be embedded in a multi-echo acquisition framework.
在功能磁共振成像（fMRI）中，受试者的运动可能会严重影响数据质量。当运动与实验范式相关时，这是一个特别突出的问题，因为这可能会导致伪激活。本文提出了一种方法，该方法使用线性回归，将在非常短的回波时间（TE）采集的图像的时间历程用作同一回波链中另一幅以高血氧水平依赖（BOLD）敏感性采集的图像的体素级回归变量。通过结合任务锁定运动与视觉刺激来证明该方法的价值。在1.5T和3T场强下获得的结果均显示个体受试者的功能激活图有所改善。该方法易于实施，不需要额外的扫描时间，并且可以轻松地嵌入多回波采集框架中。
