MulipleComparisons correction refers to the need to correct a significance level for the number of hypothesis tests performed. In brain mapping, the number of hypothesis tests is typically associated with the number of voxels or surface vertices and istherefore massive. Methods for MultipleComparisons correction include:

[http://mathworld.wolfram.com/BonferroniCorrection.html Bonferroni Correction]

[http://www.sph.umich.edu/~nichols/FDR/ False Discovery Rate]

[http://www.fil.ion.ucl.ac.uk/spm/course/slides03/ppt/infer.ppt Random Field Theory]

[http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf2/pdfs/Ch16.pdf Permutation testing]