I come up with two method,
one is using the 3dANOVA with option: -levels 5 , -DAFNI_FLOATIZE=YES and -contr 4 -1 -1 -1 -1, with every subject’s coef value from results of 3dDeconvolve
the other is using 3dttest++ with opiton: -setA, followed by every subject’s data corresponding to option -gltsym A -0.25B -0.25C -0.25D -0.25E of 3dDeconvolve.
the difference betwwen those two method.
I want to know which one is right and how to set the P value to get the cluster(ROI)
the following is part of my code
3dDeconvolve -input pb06.$subj.r01.scale+tlrc.HEAD
pb06.$subj.r02.scale+tlrc.HEAD pb06.$subj.r03.scale+tlrc.HEAD
…
-num_stimts 17
-stim_times 1 stimuli/AV1_A_halfo.txt ‘BLOCK(12,1)’
-stim_label 1 snake
-stim_times 2 stimuli/AV2_B_halfo.txt ‘BLOCK(12,1)’
-stim_label 2 mushroom
-stim_times 3 stimuli/AV3_C_halfo.txt ‘BLOCK(12,1)’
-stim_label 3 spider
-stim_times 4 stimuli/AV4_D_halfo.txt ‘BLOCK(12,1)’
-stim_label 4 animal
-stim_times 5 stimuli/AV5_E_halfo.txt ‘BLOCK(12,1)’
-stim_label 5 face
…
-gltsym ‘SYM: 0.2A +0.2B +0.2C +0.2D +0.2E’
-glt_label 12 meanABCDE
-gltsym 'SYM: A -0.25B -0.25C -0.25D -0.25*E’
-glt_label 13 A-mean(BCDE)
…
-errts errts.${subj}.$cond
-bucket stats.$subj.$cond
tcsh -x stats.REML_cmd
3dANOVA -levels 5 -DAFNI_FLOATIZE=YES
-dset 1 ‘stats.S01.new_REML+tlrc[1]’
-dset 1 ‘stats.S02.new_REML+tlrc[1]’
-dset 1 ‘stats.S03.new_REML+tlrc[1]’
…
dset 5 ‘stats.S08.new_REML+tlrc[13]’
-dset 5 ‘stats.S09.new_REML+tlrc[13]’
-dset 5 ‘stats.S10.new_REML+tlrc[13]’
-ftr stim
-mean 1 A
-mean 2 B
-mean 3 C
-mean 4 D
-mean 5 E
-contr 4 -1 -1 -1 -1 A-mean(BCDE)
-contr 1 1 1 1 1 ABCD \
3dttest++ -prefix A-mean(BCDE)
-setA ‘stats.S01.new_REML+tlrc[52]’
‘stats.S02.new_REML+tlrc[52]’
‘stats.S03.new_REML+tlrc[52]’
‘stats.S04.new_REML+tlrc[52]’
‘stats.S05.new_REML+tlrc[52]’
‘stats.S06.new_REML+tlrc[52]’
‘stats.S07.new_REML+tlrc[52]’
‘stats.S08.new_REML+tlrc[52]’
‘stats.S09.new_REML+tlrc[52]’
‘stats.S10.new_REML+tlrc[52]’
-overwrite