The use of machine learning methods in functional neuroimage analysis has demonstrated an increased sensitivity to cognitive function compared to previously used univariate methods (Kilian-Hütten 2011, Naselaris 2011). This, coupled with the continued progression of cognitive neuroscience research, has led researchers to employ more ecologically valid experimental procedures and more complex stimuli.