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.

中文翻译：

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功能连接的不同揭示了参与者运动在功能磁共振成像研究中的影响

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，即使经过预处理，其影响仍然存在。为了检查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，即功能连接的不同。在这里，我们通过在两个独立的静息态 fMRI 数据集中应用四种预处理方法来研究头部运动（由平均帧位移表示）与功能连接的不同之间的关联：一个由健康参与者组成（N= 167) 在具有较长 TR (2.5 s) 的 3T GE-Discovery 750 中扫描，另一名慢性背痛患者 ( N = 143) 在具有较短 TR (0.555 s) 的 3T Siemens Magnetom Prisma 扫描仪中扫描。我们发现功能连接的不同揭示了参与者运动的影响，并且这种关系与人口、扫描仪和预处理方法无关。运动和功能连接的不同之间的关联，以及去除高运动参与者如何影响这种关联，是预处理后组级质量控制的新策略。