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Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

机译:评论:聚类故障:为什么在空间范围内进行fMRI推断会增加假阳性率

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Figure 1. Impact of using different image resolutions onto family-wise error (FWE) corrected p-values with the analysis of resting-state fMRI data using a fake on-off block design. The statistical model included an experimental condition with 18 blocks with a block length of 20 s using an onset every 40 s. The same statistical analysis was performed with different image resolutions obtained within the normalization step in SPM12 followed by a subsequent spatial smoothing of 8-mm full width at half maximum. (A) Orthogonal brain sections of an individual subject showing a cluster of brain activity that becomes significant when using image upscaling. (B) Systematic decrease of FWE corrected p-values with increasing image resolution for each participant. The plot shows p-values for a randomly selected cluster with p < 0.1 for each participant. On average, p-values became smaller than the half size of the original value (see line plotted in red color). (C) Systematic decrease of the estimated smoothness when using image upscaling.
机译:图1.使用伪造的开关模块设计对静态fMRI数据进行分析后,使用不同的图像分辨率对家庭误差(FWE)校正的p值的影响。统计模型包括一个实验条件,该条件包含18个块,块长度为20 s,每40 s发生一次。在SPM12的归一化步骤中使用不同的图像分辨率执行了相同的统计分析,随后进行了半高全宽为8毫米的空间平滑。 (A)单个受试者的正交大脑部分显示出一组大脑活动,当使用图像放大时,这些活动变得很明显。 (B)随着每个参与者图像分辨率的提高,FWE校正的p值的系统降低。该图显示了随机选择的群集的p值,每个参与者的p <0.1。平均而言,p值变得小于原始值的一半(请参见以红色绘制的线)。 (C)使用图像放大时系统地降低估计的平滑度。

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