Evidence for the null hypothesis in functional magnetic resonance imaging using group-level Bayesian inference
Ruslan S. Masharipov, Irina Knyazeva, Yaroslav Nikolaev, Alexander D. Korotkov, Michael Didur, Denis V. Cherednichenko, Maxim V. Kireev
This paper compares Bayesian parameter inference with classical null hypothesis testing in fMRI group analysis, arguing that Bayesian methods provide more intuitive evidence for both null and alternative hypotheses.
Frontiers in Neuroinformatics · Dec 2, 2021Peer-reviewedNeuroscience