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Minimal Data Needed for Valid & Accurate Image-Based fMRI Meta-Analysis

https://doi.org/10.1101/048249
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/archpedi.158.6.595openalex-snapshot
Meta-analysis Based on Standardized Effects Is Unreliable
inferredcites →https://doi.org/10.1002/hbm.1058openalex-snapshot
Nonparametric permutation tests for functional neuroimaging: A primer with examples
inferredcites →https://doi.org/10.1016/j.neuroimage.2008.12.039openalex-snapshot
Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.05.034openalex-snapshot
Simple group fMRI modeling and inference
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.12.060openalex-snapshot
FMRI group analysis combining effect estimates and their variances
inferredcites →https://doi.org/10.1016/s1053-8119(01)91592-7openalex-snapshot
FSL: New tools for functional and structural brain image analysis
inferredcites →https://doi.org/10.1038/nrn3475openalex-snapshot
Power failure: why small sample size undermines the reliability of neuroscience
inferredcites →https://doi.org/10.1093/ajcp/15.11.552bopenalex-snapshot
Statistical Methods for Research Workers
inferredcites →https://doi.org/10.1097/00004647-199601000-00002openalex-snapshot
Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
inferredcites →https://doi.org/10.1111/j.1420-9101.2011.02297.xopenalex-snapshot
Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis
inferredcites →https://doi.org/10.1186/2045-5380-2-6openalex-snapshot
Meta-analytic methods for neuroimaging data explained
inferredcites →https://doi.org/10.2307/3002019openalex-snapshot
An Approximate Distribution of Estimates of Variance Components

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s12021-023-09643-5openalex-snapshot
Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2016.09.066openalex-snapshot
Is the statistic value all we should care about in neuroimaging?
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.04.002openalex-snapshot
Coordinate based random effect size meta-analysis of neuroimaging studies
inferred← citeshttps://doi.org/10.1038/s41598-025-20328-8openalex-snapshot
Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data
inferred← citeshttps://doi.org/10.1101/064212openalex-snapshot
Commentary: Is the Statistic Value All We Should Care about in Neuroimaging?
inferred← citeshttps://doi.org/10.1101/2025.03.06.641922openalex-snapshot
Advancing image-based meta-analysis for fMRI: A framework for leveraging NeuroVault data
inferred← citeshttps://doi.org/10.1101/865881openalex-snapshot
Standardized Effect Sizes and Image-Based Meta-Analytical Approaches for fMRI Data
inferred← citeshttps://doi.org/10.3389/fnins.2019.01037openalex-snapshot
Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data
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