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in the fMRI tutorial you just completed you learned that group level contrast maps are created through something called a mass univariate analysis in other words we carry out as many statistical tests as there are voxels given that a typical fMRI data set contains tens of thousands of voxels this can quickly lead to an unacceptably large number of false positives to control for the number of false positives therefore and to keep them at the conventional false positive rate of 5% we need to do something called multiple comparisons correction in the good old days many neuroimaging researchers used a correction method called bonferroni correction itamp;#39;s simple to understand and simple to do take your alpha level or the false positive rate youamp;#39;re willing to live with traditionally set at 5% and divide it by the number of tests that you carry out this works well enough for behavioral studies but quickly becomes unreasonable when applied to imaging data for example if your grou
