Deep neural networks (DNNs) are currently being increasingly made use of to make predictions from practical magnetic resonance imaging (fMRI) details. We introduce two quantitative evaluation methods for saliency map strategies in fMRI, applicable anytime a DNN or linear design is remaining trained to decode some facts from imaging information.