Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp.
Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp.
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DOI：
10.1016/j.neuroimage.2012.03.017
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发表时间：
2013-08-01
期刊：
影响因子：
5.7
通讯作者：
Petersen, Steven E.
中科院分区：
文献类型：
--
作者：
Power, Jonathan D.;Barnes, Kelly Anne;Snyder, Abraham Z.;Schlaggar, Bradley L.;Petersen, Steven E.
我们最近描述了静息状态功能连通性磁共振(RS-fcMRI)数据中的一种运动相关伪像，该数据源于受试者的头部运动(Power等人(2012)，另见Satterthwaite等人(2012)；Van Dijk等人(2012))。头部运动会在粗体信号中产生众所周知的干扰(Friston等人，1996)，而这些对粗体信号的人为调制在附近的体素上是相似的，在Rs-fcMRI的相关性中产生了虚假的模式。具体地说，头部运动增强了短距离关联，削弱了长距离关联。因此，例如，与低运动数据集相比，较高运动数据集通常会显示默认模式区域之间(间隔较远的)之间的相关性减弱，而视觉区域之间的相关性增强(近距离间隔)。我们在儿童、青少年和成人的队列中描述了这种伪影，其严重性(大小)与队列内运动的流行程度有关。因此，在单个rsfcMRI数据集的检查和多个rs-fcMRI数据集的比较中，与运动相关的功能连接伪影是一个严重的混淆。在我们的报告中，我们提出了一种体积审查技术(‘scRubping’)来识别其中的信号可能受到运动影响的体积。作为原则的证据，我们识别了体积不同的体积，其中块头位置和全脑大胆信号都发生了实质性变化，并从相关性计算中保留了这些体积，以确定与运动相关的功能连接伪像的存在和性质。正如我们在报告中指出的那样，这种方法并不是为了删除所有受运动污染的数据而设计的，我们呼吁努力测试和改进删除此人工产物的策略。
We recently described a motion-related artifact in resting state functional connectivity MRI (rs-fcMRI) data that arises from subject head motion (Power et al.(2012), see also Satterthwaite et al.(2012); Van Dijk et al.(2012)). Head motion produces well-known disruptions in BOLD signal (Friston et al., 1996), and these artifactual modulations of BOLD signal, which are similar at nearby voxels, create spurious patterns in correlations in rs-fcMRI. Specifically, head motion augments short-distance correlations and weakens longdistance correlations. Thus, for instance, a higher-motion dataset would typically display weakened correlations between (distantly spaced) default mode regions but enhanced correlations between (closely spaced) visual regions in comparison to a low-motion data-set. We described this artifact in cohorts of children, adolescents, and adults, and its severity (magnitude) was related to the prevalence of motion within a cohort. Motion-related functional connectivity artifact is thus a substantial confound in the examination of single rsfcMRI datasets and in comparisons of multiple rs-fcMRI datasets.In our report we proposed a volume censoring technique (‘scrubbing’) to identify volumes where signal was likely compromised by motion. As proof of principle, we identified volumes where both bulk head position and brain-wide BOLD signal changed substantially from volume to volume and withheld these volumes from correlation calculations to establish the presence and nature of a motion-related functional connectivity artifact. As we stated in our report, this approach was not designed to remove all motion-contaminated data, and we called for efforts to test and improve strategies for removing this artifact.
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影响因子：
5.7
作者：
Satterthwaite, Theodore D.;Wolf, Daniel H.;Loughead, James;Ruparel, Kosha;Elliott, Mark A.;Hakonarson, Hakon;Gur, Ruben C.;Gur, Raquel E.
通讯作者：
Gur, Raquel E.
影响因子：
5.7
作者：
Van Dijk, Koene R. A.;Sabuncu, Mert R.;Buckner, Randy L.
通讯作者：
Buckner, Randy L.
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：
Friston, KJ;Williams, S;Turner, R
通讯作者：
Turner, R