The pupose of this is to demonstrate an expected false positive group result when comparing groups of big and small movers (based on the average motion, per TR), and then a way to account for it based on inclusion of the motion as a covariate.
It is also a nice demonstration of resting state analysis and the power of doing group comparisons of correlation maps on the fly. Two groups of 95 subjects are compared on the fly, as the seed voxel changes.
o included data is unprocessed
-> despike, align, blur, regress (censor, bandpass)
assign subjects to 2 groups, based on average motion
prepare to run 3dGroupInCorr
voxel time series and those across the entire brain (for all of 190 subjects!)
o perform Fisher’s Transform to normalize r-values o run a 2-sample t-test between ‘big’ and ‘small’ movers (95 ea) o display the results
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