Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI.
Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI.
复制标题
DOI：
10.1155/2013/935154
复制
发表时间：
2013-05-21
影响因子：
--
通讯作者：
Saad ZS
中科院分区：
文献类型：
--
作者：
Jo HJ;Gotts SJ;Reynolds RC;Bandettini PA;Martin A;Cox RW;Saad ZS
静息状态（RS） FMRI的人为来源可以来自头部运动、生理和硬件。在这些来源中，运动受到了相当大的关注，并被发现通过依赖于它们的距离的区域之间的差异偏倚相关性来诱导腐败效应。许多纠正方法依赖于识别和审查高运动时间点，并使用全脑平均时间序列作为数据正正交的讨厌回归量（全局信号回归，GSReg）。我们首先使用Power等人（2012）慷慨提供的数据复制了之前报道的头部运动偏差相关系数。然后，我们表明，虽然运动可能是相关性中伪影的来源，但距离相关偏差（被认为是运动对相关性影响的表现）因使用GSReg而加剧。换句话说，GSReg之后获得的相关估计更容易受到运动的影响，并扩展到审查水平。更一般地说，运动对相关估计的影响取决于导致相关估计的预处理步骤，某些方法的表现明显比其他方法差。为此，我们考虑了RS FMRI预处理的各种模型，并表明WMeLOCAL作为Jo等人（2010）讨论的ANATICOR的子集，去噪方法对运动的敏感性最小，并通过扩展降低了相关结果对滤波的依赖性。
Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware. Of these sources, motion has received considerable attention and was found to induce corrupting effects by differentially biasing correlations between regions depending on their distance. Numerous corrective approaches have relied on the identification and censoring of high-motion time points and the use of the brain-wide average time series as a nuisance regressor to which the data are orthogonalized (Global Signal Regression, GSReg). We first replicate the previously reported head-motion bias on correlation coefficients using data generously contributed by Power et al. (2012). We then show that while motion can be the source of artifact in correlations, the distance-dependent bias—taken to be a manifestation of the motion effect on correlation—is exacerbated by the use of GSReg. Put differently, correlation estimates obtained after GSReg are more susceptible to the presence of motion and by extension to the levels of censoring. More generally, the effect of motion on correlation estimates depends on the preprocessing steps leading to the correlation estimate, with certain approaches performing markedly worse than others. For this purpose, we consider various models for RS FMRI preprocessing and show that WMeLOCAL, as subset of the ANATICOR discussed by Jo et al. (2010), denoising approach results in minimal sensitivity to motion and reduces by extension the dependence of correlation results on censoring.
登录
查看更多内容
影响因子：
14.5
作者：
Gotts, Stephen J.;Simmons, W. Kyle;Martin, Alex
通讯作者：
Martin, Alex
影响因子：
5.7
作者：
Vovk, Andrej;Cox, Robert W.;Saad, Ziad S.
通讯作者：
Saad, Ziad S.
影响因子：
3.4
作者：
Saad ZS;Gotts SJ;Murphy K;Chen G;Jo HJ;Martin A;Cox RW
通讯作者：
Cox RW
影响因子：
5.7
作者：
Power, Jonathan D.;Barnes, Kelly A.;Snyder, Abraham Z.;Schlaggar, Bradley L.;Petersen, Steven E.
通讯作者：
Petersen, Steven E.
影响因子：
3.3
作者：
BISWAL, B;YETKIN, FZ;HYDE, JS
通讯作者：
HYDE, JS