Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Department of Information, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hum Brain Mapp. 2021 Feb 15;42(3):713-723. doi: 10.1002/hbm.25255. Epub 2020 Oct 20.
Head motion is a major confounding factor impairing the quality of functional magnetic resonance imaging (fMRI) data. In particular, head motion can reduce analytical efficiency, and its effects are still present even after preprocessing. To examine the validity of motion removal and to evaluate the remaining effects of motion on the quality of the preprocessed fMRI data, a new metric of group quality control (QC), dissimilarity of functional connectivity, is introduced. Here, we investigate the association between head motion, represented by mean framewise displacement, and dissimilarity of functional connectivity by applying four preprocessing methods in two independent resting-state fMRI datasets: one consisting of healthy participants (N = 167) scanned in a 3T GE-Discovery 750 with longer TR (2.5 s), and the other of chronic back pain patients (N = 143) in a 3T Siemens Magnetom Prisma scanner with shorter TR (0.555 s). We found that dissimilarity of functional connectivity uncovers the influence of participant's motion, and this relationship is independent of population, scanner, and preprocessing method. The association between motion and dissimilarity of functional connectivity, and how the removal of high-motion participants affects this association, is a new strategy for group-level QC following preprocessing.
头部运动是影响功能磁共振成像（fMRI）数据质量的主要混杂因素。特别是，头部运动会降低分析效率，即使在预处理后，其影响仍然存在。为了检验运动去除的有效性，并评估运动对预处理 fMRI 数据质量的剩余影响，引入了一种新的组质量控制（QC）度量，即功能连接的不相似性。在这里，我们通过在两个独立的静息态 fMRI 数据集上应用四种预处理方法，来研究由平均框架位移表示的头部运动与功能连接的不相似性之间的关联：一个数据集由在 3T GE-Discovery 750 扫描仪中扫描的健康参与者（N=167）组成，TR 较长（2.5s），另一个数据集由在 3T 西门子 Magnetom Prisma 扫描仪中扫描的慢性背痛患者（N=143）组成，TR 较短（0.555s）。我们发现，功能连接的不相似性揭示了参与者运动的影响，这种关系独立于人群、扫描仪和预处理方法。运动与功能连接的不相似性之间的关联，以及去除高运动参与者如何影响这种关联，是预处理后进行组水平 QC 的一种新策略。
