Deep neural networks (DNNs) are staying progressively used to make predictions from functional magnetic resonance imaging (fMRI) facts. We introduce two quantitative analysis methods for saliency map solutions in fMRI, relevant when a DNN or linear product is becoming trained to decode some info from imaging facts.