Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
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DOI：
10.3791/59841
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发表时间：
2019-11-01
影响因子：
1.2
通讯作者：
Radua, Joaquim
中科院分区：
文献类型：
--
作者：
Albajes-Eizagirre, Anton;Solanes, Aleix;Radua, Joaquim
对基于体素的神经影像学研究进行荟萃分析的大多数方法都没有评估效应是否为零，而是评估是否存在统计显著性峰值的收敛，并将证据的评估减少到完全基于p值的二元分类（即，体素只能是“统计显著”或“非统计显著”）。在这里，我们详细介绍了如何使用基于种子的d映射与受试者图像排列（SDM-PSI）进行荟萃分析，这是一种使用标准排列检验来评估效果是否为零的新方法。我们还展示了如何根据一组标准对证据的强度进行分级，这些标准考虑了一系列统计显著性水平（从更自由到更保守）、数据量或潜在偏差的检测（例如，小研究效应和显著性过剩）。为了举例说明这一过程，我们详细介绍了强迫症中基于体素的形态测量学研究的元分析，并提供了从手稿中提取的所有数据，以便读者可以轻松地复制该元分析。SDM-PSI还可用于功能磁共振成像、扩散张量成像、位置发射断层扫描和基于表面的形态测量学研究的荟萃分析。
Most methods for conducting meta-analysis of voxel-based neuroimaging studies do not assess whether effects are not null, but whether there is a convergence of peaks of statistical significance, and reduce the assessment of the evidence to a binary classification exclusively based on p-values (i.e., voxels can only be "statistically significant" or "non-statistically significant"). Here, we detail how to conduct a meta-analysis using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), a novel method that uses a standard permutation test to assess whether effects are not null. We also show how to grade the strength of the evidence according to a set of criteria that considers a range of statistical significance levels (from more liberal to more conservative), the amount of data or the detection of potential biases (e.g., small-study effect and excess of significance). To exemplify the procedure, we detail the conduction of a meta-analysis of voxel-based morphometry studies in obsessive-compulsive disorder, and we provide all the data already extracted from the manuscripts to allow the reader to replicate the meta-analysis easily. SDM-PSI can also be used for meta-analyses of functional magnetic resonance imaging, diffusion tensor imaging, position emission tomography and surface-based morphometry studies.