Hi AFNI folks,

Hoping for some guidance on 2 things:

1. In running some task based ROI-to-Wholebrain results through the simple Correlation approach outlined by Gang's old webpage (3dDeconvolve > R^2 > R > Z > 3dTtest++), I ended up with very very high internal correlations (see first attached image). What is the proper approach to correct for the massive multiple comparisons? Adding ClustSim into the 3dTtest++ didnt seem to bring things down. Would applying something like 3dFDR be possible?

2. In trying to verify those ROI-to-Wholebrain results from 3dDeconvolve I endeavored to run the same data through 3dTCorr1D. Unfortunately the results are different and nearly look random (see second image). Not even the original seed region (primary auditory cortex) was correlated with itself. I am posting both sets of scripts below, but 3dTcorr1D is so simple I can't figure out what could have gone wrong. Any input or assistance here greatly appreciated.

Thanks as always,

~Dane

3dDeconvolve \
-force_TR 2.5 \
-input ${subj}_prepro_all+tlrc. \
-polort 2 \
-mask ${subj}_s4_vr_zp4_cardnudg_e2a_amsk+tlrc. \
-censor $censorfile/${subj}_autocensor_AC3VC_pre-moco.1D \
-nfirst 0 \
-GOFORIT 5 \
-num_stimts 1 \
-stim_file 1 ${subj}_prepro_all_stim5c_dmbfitts_3dSynthRemvBase_StrgClean_${ROI}_Timeseries.1D -stim_label 1 Strg_Seed${ROI} \
-rout \
-bucket ${subj}_prepro_all_stim5c_dmbfitts_3dSynthRemvBase_StrgClean_${ROI}_roi2wb_r^2map \

----------------- vs ----------------------

3dTcorr1D \
-pearson \
-prefix ${subj}_prepro_all_stim5c_dmbfitts_3dSynthRemvBase_StrgClean_L_PAC_roi2wb_3dTcorr1DTest3+tlrc \
-mask ${subj}_s4_vr_zp4_cardnudg_e2a_amsk+tlrc \
${subj}_prepro_all+tlrc. \
${subj}_prepro_all_stim5c_dmbfitts_3dSynthRemvBase_StrgClean_L_PAC_Timeseries.1D \