Hello,
Below is a script for recognition memory study with 6 runs (120 seconds each), words presented for 2 seconds each; words were either studied by drawing, writing, listing, or were new lure words. Our goal is to contrast activity during memory for each of the 4 target word types (draw, write, list, and new). I was hoping to check this script to ensure that it makes sense. As well, is this the best way to run this analysis?
Thank you so much,
Nicole
3dDeconvolve -force_TR 2 -input scaled_allruns+orig -mask retrieval_mask+orig -concat ‘1D: 0 60 120 180 240 300’
-polort 1
-num_stimts 4
-stim_times 1 stimtimes_list ‘BLOCK(2,1)’
-stim_times 2 stimtimes_write ‘BLOCK(2,1)’
-stim_times 3 stimtimes_draw ‘BLOCK(2,1)’
-stim_times 4 stimtimes_new ‘BLOCK(2,1)’
-stim_label 1 write_tar
-stim_label 2 list_tar
-stim_label 3 draw_tar
-stim_label 4 new_tar
-gltsym ‘SYM: draw_tar -write_tar’
-gltsym ‘SYM: draw_tar -list_tar’
-gltsym ‘SYM: draw_tar -new_tar’
-gltsym ‘SYM: list_tar -write_tar’
-gltsym ‘SYM: list_tar -new_tar’
-gltsym ‘SYM: write_tar -new_tar’
-glt_label 1 draw_write
-glt_label 2 draw_list
-glt_label 3 draw_new
-glt_label 4 list_write
-glt_label 5 list_new
-glt_label 6 write_new
-iresp 1 irespwrite_tar
-iresp 2 iresplist_tar
-iresp 3 irespdraw_tar
-iresp 4 irespnew_tar
-sresp 1 stddevwrite_tar
-sresp 2 stddevlist_tar
-sresp 3 stddevdraw_tar
-sresp 4 stddevnew_tar
-fitts fitts_event
-fout -tout -rout -bucket decon_sa_event
-x1D X.xmat.1D -xjpeg X.jpg