Figure 1
BayesFactorFMRI GUI. Top: GUI for Bayesian second-level analysis. Bottom: GUI for Bayesian meta-analysis.
Figure 2
A tutorial example of Bayesian second-level analysis with BayesFactorFMRI. Left: The original image with true signals (blue: true positives). Middle: A sample of analysed images with original and noise signals. Right: The result of analysis when BFs.nii is thresholded with a Bayes factor threshold ≥3 (black: survived voxels).
Figure 3
A tutorial example of Bayesian meta-analysis with BayesFactorFMRI. Left: Six statistics images that are used for meta-analysis. Right: The result of Bayesian meta-analysis when BFs.nii is thresholded with the Bayes Factor threshold ≥3. Only survived voxels are presented.
Figure 4
Changes in performance in terms of the elapsed time as a function of the number of employed processes. Top: Bayesian second-level analysis. Bottom: Bayesian meta-analysis.
Figure 5
Organization of BayesFactorFMRI.