An improved model of motion-related signal changes in fMRI.
An improved model of motion-related signal changes in fMRI.
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DOI：
10.1016/j.neuroimage.2016.08.051
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发表时间：
2017-01-01
期刊：
影响因子：
5.7
通讯作者：
Birn RM
中科院分区：
文献类型：
--
作者：
Patriat R;Reynolds RC;Birn RM
在静息状态功能磁共振成像(rs-fMRI)中，头部运动是估计功能连通性的一个重要噪声源。当前减少这种噪声的策略包括图像重新对齐，审查受运动破坏的时间点，以及在一般线性模型中包括运动重新对齐参数及其导数作为额外的滋扰回归变量。然而，这种讨厌的回归方法假设运动引起的信号变化与估计的重新对准参数线性相关，但情况并不总是如此。在这项研究中，我们开发了一个改进的运动相关信号变化模型，其中滋扰回归是通过首先根据估计的运动旋转和平移单个大脑体积，重新配准数据，然后对移动和重新配准数据的结果时间序列执行主成分分析(PCA)来形成的。我们发现，与当前最常见的使用重排参数及其导数作为滋扰回归变量的方法相比，这些“运动模拟(MotSim)”回归变量可以解释更大的方差，导致更高的时间信噪比，并导致受运动影响较小的功能连通性估计。这一改进应该会导致对功能连接性的更准确估计，特别是在运动普遍存在的人群中，如患者和幼儿。
Head motion is a significant source of noise in the estimation of functional connectivity from resting-state functional MRI (rs-fMRI). Current strategies to reduce this noise include image realignment, censoring time points corrupted by motion, and including motion realignment parameters and their derivatives as additional nuisance regressors in the general linear model. However, this nuisance regression approach assumes that the motion-induced signal changes are linearly related to the estimated realignment parameters, which is not always the case. In this study we develop an improved model of motion-related signal changes, where nuisance regressors are formed by first rotating and translating a single brain volume according to the estimated motion, re-registering the data, and then performing a principal components analysis (PCA) on the resultant time series of both moved and re-registered data. We show that these “Motion Simulated (MotSim)” regressors account for significantly greater fraction of variance, result in higher temporal signal-to-noise, and lead to functional connectivity estimates that are less affected by motion compared to the most common current approach of using the realignment parameters and their derivatives as nuisance regressors. This improvement should lead to more accurate estimates of functional connectivity, particularly in populations where motion is prevalent, such as patients and young children.
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