2019
DOI: 10.3791/59841
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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)

Abstract: 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 me… Show more

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Cited by 69 publications
(85 citation statements)
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References 10 publications
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“…Main CBMA by pooling all included studies Main CBMA of all included studies was performed using SDM-PSI (version 6.21, www.sdmproject.com) as described in detail previously [33,34]. The standard SDM-PSI pipeline was followed for the CMBA.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Main CBMA by pooling all included studies Main CBMA of all included studies was performed using SDM-PSI (version 6.21, www.sdmproject.com) as described in detail previously [33,34]. The standard SDM-PSI pipeline was followed for the CMBA.…”
Section: Resultsmentioning
confidence: 99%
“…This statistical thresholding has been suggested to be neither too conservative nor too liberal in the simulation work [33,34].…”
Section: Resultsmentioning
confidence: 99%
“…SDM-PSI has been described in detail elsewhere. [ 11 , 12 ] We briefly summarized the standard processes here. First, we collected and organized the information regarding the peak coordinates of significant GM differences between RLS and HCs.…”
Section: Methodsmentioning
confidence: 99%
“…been described in the software tutorial (https://www.sdmproject. com/) and previous studies (Albajes-Eizagirre et al, 2019a;Dahlgren et al, 2020). Here, we briefly summarized the SDM-PSI methods.…”
Section: Resultsmentioning
confidence: 99%