@article{8552076,
  abstract     = {{Given the increasing amount of neuroimaging studies, there is a growing need to summarize published results. Coordinate-based meta-analyses use the locations of statistically significant local maxima with possibly the associated effect sizes to aggregate studies. In this paper, we investigate the influence of key characteristics of a coordinate-based meta-analysis on (1) the balance between false and true positives and (2) the activation reliability of the outcome from a coordinate-based meta-analysis. More particularly, we consider the influence of the chosen group level model at the study level [fixed effects, ordinary least squares (OLS), or mixed effects models], the type of coordinate-based meta-analysis [Activation Likelihood Estimation (ALE) that only uses peak locations, fixed effects, and random effects meta-analysis that take into account both peak location and height] and the amount of studies included in the analysis (from 10 to 35). To do this, we apply a resampling scheme on a large dataset (N = 1,400) to create a test condition and compare this with an independent evaluation condition. The test condition corresponds to subsampling participants into studies and combine these using meta-analyses. The evaluation condition corresponds to a high-powered group analysis. We observe the best performance when using mixed effects models in individual studies combined with a random effects meta-analysis. Moreover the performance increases with the number of studies included in the meta-analysis. When peak height is not taken into consideration, we show that the popular ALE procedure is a good alternative in terms of the balance between type I and II errors. However, it requires more studies compared to other procedures in terms of activation reliability. Finally, we discuss the differences, interpretations, and limitations of our results.}},
  articleno    = {{745}},
  author       = {{Bossier, Han and Seurinck, Ruth and Kuehn, Simone and Banaschewski, Tobias and Barker, Gareth J and Bokde, Arun LW and Martinot, Jean-Luc and Lemaitre, Herve and Paus, Tomáš and Millenet, Sabina and Moerkerke, Beatrijs}},
  issn         = {{1662-453X}},
  journal      = {{FRONTIERS IN NEUROSCIENCE}},
  keywords     = {{NEUROIMAGING DATA,BRAIN-FUNCTION,ACTIVATION,LIKELIHOOD,REPRODUCIBILITY,POWER,NEUROSCIENCE,BEHAVIOR,FAILURE,coordinate-based meta-analysis,fMRI,group modeling,mixed effects,models,random effects models,reliability}},
  language     = {{eng}},
  pages        = {{22}},
  title        = {{The influence of study-level inference models and study set size on coordinate-based fMRI meta-analyses}},
  url          = {{http://doi.org/10.3389/fnins.2017.00745}},
  volume       = {{11}},
  year         = {{2018}},
}

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