Description: | Usage: dual_regression .........
e.g. dual_regression groupICA.gica/groupmelodic.ica/melodic_IC 1 design.mat design.con 500 grot `cat groupICA.gica/.filelist`
A common need for analyses such as ICA for resting-state FMRI is to run a group-average ICA, and then, for each subject, estimate a "version" of each of the group-level spatial maps. Currently, the best way to do this is to use dual regression. This:
Regresses the group-spatial-maps into each subject's 4D dataset to give a set of timecourses (stage 1)
Regresses those timecourses into the same 4D dataset to get a subject-specific set of spatial maps (stage 2)
It is then common to compare the spatial maps across groups of subjects to look for group differences, ideally using randomise permutation testing. |