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FSL  August 2015

FSL August 2015

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Subject:

FSL versus AFNI GLM (i.e. 3dREMLfit versus FEAT)

From:

James Kent <[log in to unmask]>

Reply-To:

FSL - FMRIB's Software Library <[log in to unmask]>

Date:

Thu, 27 Aug 2015 19:01:06 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (1043 lines)

Hello, 

(I am also posting this to the AFNI listserv to get their perspective as well) 
I am analyzing a fast event related design, and the best way for me to understand the analysis is by making two software packages do the same thing. However, despite my best efforts I cannot get the GLM output for both AFNI and FSL to come close. I am wondering if I'm violating some idiosyncrasy of either package making the results divergent. 

Details: 
preprocessing steps:: 
motion correction::: 3dvolreg (AFNI) 
spatial smoothing::: susan (FSL) 
temporal filtering::: 3dbandpass highpass: 0.01 lowpass: 99999 (with the signal mean added back in: [afni.nimh.nih.gov]) (AFNI) 
global normalization::: mean signal across run = 10,000 (FSL) 

typical output from each GLM uncorrected(?) zstat (see below to see how I got AFNI zstat) file (single subject thresholded at z=2.33). 
FSL zstat file= featdir/stats/zstat#.nii.gz 
AFNI # of sig voxels=500 
FSL # of sig voxels=1000 
overlap of AFNI and FSL sig voxels= 80 

I used the 4d-volume output from these preprocessing steps and put them into AFNI's 3dDeconvolve/REMLfit and FSL's FEAT. 
I added the mean signal back in and globally normalized the signal to 10,000 because FSL's FILM (prewhitening) function appears to expect that scale of intensities. Does 3dDeconvolve/REMLfit have similar assumptions about the input? Do the data need to be scaled or saved as a certain datatype (i.e. float, int, double, etc.)? 

Below is the snippet of code I used to run 3dDeconvolve/REMLfit (written in BASH) and the .fsf file passed into feat. I convolved with single gamma function and I made AFNI's gamma function match FSL's gamma function using this thread: (https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind05&L=FSL&D=0&X=20D3C05165200516F9&Y=steve%40fmrib.ox.ac.uk&P=787303). 

One thing that I know is different between the GLMs is that I used the temporal derivative in FSL, but I didn't know how to do something similar in AFNI. Additionally, I don't know how FSL accounts for drifts (specifically my impression is that AFNI uses the -polort option to account for drifts, but I don't know how FSL does it). 

Thank you for your help! 
James 

AFNI GLM: 
3dDeconvolve -input ${FLANKER_NIFTI} \ 
-nfirst 0 \ 
-polort A \ 
-num_stimts 10 \ 
-basis_normall 1 \ 
-mask ${outDir}/mask/*_mask.nii.gz \ 
-stim_times 1 ${timing_array[0]} 'GAM(6.0024,0.9996)' -stim_label 1 con \ 
-stim_times 2 ${timing_array[1]} 'GAM(6.0024,0.9996)' -stim_label 2 errors \ 
-stim_times 3 ${timing_array[2]} 'GAM(6.0024,0.9996)' -stim_label 3 inc \ 
-stim_times 4 ${timing_array[3]} 'GAM(6.0024,0.9996)' -stim_label 4 neu \ 
-stim_file 5 ${motion_file}[0]	-stim_label 5 roll \ 
-stim_file 6 ${motion_file}[1]	-stim_label 6 pitch \ 
-stim_file	7 ${motion_file}[2]	-stim_label 7 yaw \ 
-stim_file 8 ${motion_file}[3]	-stim_label 8 I_S \ 
-stim_file 9 ${motion_file}[4]	-stim_label 9 R_L \ 
-stim_file 10 ${motion_file}[5]	-stim_label 10 A_P \ 
-num_glt 7 \ 
-glt_label 1 con_ave -gltsym 'SYM: con' \ 
-glt_label 2 errors_ave -gltsym 'SYM: errors' \ 
-glt_label 3 inc_ave -gltsym 'SYM: inc' \ 
-glt_label 4 neu_ave -gltsym 'SYM: neu' \ 
-glt_label 5 con-neu -gltsym 'SYM: +con -neu' \ 
-glt_label 6 inc-neu -gltsym 'SYM: +inc -neu' \ 
-glt_label 7 con-inc -gltsym 'SYM: +con -inc' \ 
-tout -fout -bucket sub${subNum}_bucket -xjpeg sub${subNum}_glm_matrix.jpg -x1D_stop &&amp;\ 
3dREMLfit -matrix sub${subNum}_bucket.xmat.1D \ 
-input ${FLANKER_NIFTI} \ 
-mask ${outDir}/mask/*_mask.nii.gz \ 
-fout -tout -Rbuck sub${subNum}_bucket_REML -Rvar sub${subNum}_bucket_REMLvar -verb 

I change the Tstat output into Zstat using the following command: 
3dmerge -1zscore -datum float -prefix Zmap.nii Tmap.nii (http://afni.nimh.nih.gov/afni/community/board/read.php?1,67177,67218) 
I DID NOT use the coef file, I used the Tstat file. 

FSL GLM 

# FEAT version number 
set fmri(version) 6.00 

# Are we in MELODIC? 
set fmri(inmelodic) 0 

# Analysis level 
# 1 : First-level analysis 
# 2 : Higher-level analysis 
set fmri(level) 1 

# Which stages to run 
# 0 : No first-level analysis (registration and/or group stats only) 
# 7 : Full first-level analysis 
# 1 : Pre-Stats 
# 3 : Pre-Stats + Stats 
# 2 : Stats 
# 6 : Stats + Post-stats 
# 4 : Post-stats 
set fmri(analysis) 6 

# Use relative filenames 
set fmri(relative_yn) 0 

# Balloon help 
set fmri(help_yn) 1 

# Run Featwatcher 
set fmri(featwatcher_yn) 1 

# Cleanup first-level standard-space images 
set fmri(sscleanup_yn) 0 

# Output directory 
set fmri(outputdir) "OUTPUT_DIRECTORY" 

# TR(s) 
set fmri(tr) 2.0000000000 

# Total volumes 
set fmri(npts) 315 

# Delete volumes 
set fmri(ndelete) 0 

# Perfusion tag/control order 
set fmri(tagfirst) 1 

# Number of first-level analyses 
set fmri(multiple) 1 

# Higher-level input type 
# 1 : Inputs are lower-level FEAT directories 
# 2 : Inputs are cope images from FEAT directories 
set fmri(inputtype) 1 

# Carry out pre-stats processing? 
set fmri(filtering_yn) 0 

# Brain/background threshold, % 
set fmri(brain_thresh) 10 

# Critical z for design efficiency calculation 
set fmri(critical_z) 5.3 

# Noise level 
set fmri(noise) 0.66 

# Noise AR(1) 
set fmri(noisear) 0.34 

# Post-stats-only directory copying 
# 0 : Overwrite original post-stats results 
# 1 : Copy original FEAT directory for new Contrasts, Thresholding, Rendering 
set fmri(newdir_yn) 0 

# Motion correction 
# 0 : None 
# 1 : MCFLIRT 
set fmri(mc) 1 

# Spin-history (currently obsolete) 
set fmri(sh_yn) 0 

# B0 fieldmap unwarping? 
set fmri(regunwarp_yn) 0 

# EPI dwell time (ms) 
set fmri(dwell) 0.7 

# EPI TE (ms) 
set fmri(te) 35 

# % Signal loss threshold 
set fmri(signallossthresh) 10 

# Unwarp direction 
set fmri(unwarp_dir) y- 

# Slice timing correction 
# 0 : None 
# 1 : Regular up (0, 1, 2, 3, ...) 
# 2 : Regular down 
# 3 : Use slice order file 
# 4 : Use slice timings file 
# 5 : Interleaved (0, 2, 4 ... 1, 3, 5 ... ) 
set fmri(st) 0 

# Slice timings file 
set fmri(st_file) "" 

# BET brain extraction 
set fmri(bet_yn) 1 

# Spatial smoothing FWHM (mm) 
set fmri(smooth) 5 

# Intensity normalization 
set fmri(norm_yn) 0 

# Perfusion subtraction 
set fmri(perfsub_yn) 0 

# Highpass temporal filtering 
set fmri(temphp_yn) 1 

# Lowpass temporal filtering 
set fmri(templp_yn) 0 

# MELODIC ICA data exploration 
set fmri(melodic_yn) 0 

# Carry out main stats? 
set fmri(stats_yn) 1 

# Carry out prewhitening? 
set fmri(prewhiten_yn) 1 

# Add motion parameters to model 
# 0 : No 
# 1 : Yes 
set fmri(motionevs) 0 
set fmri(motionevsbeta) "" 
set fmri(scriptevsbeta) "" 

# Robust outlier detection in FLAME? 
set fmri(robust_yn) 0 

# Higher-level modelling 
# 3 : Fixed effects 
# 0 : Mixed Effects: Simple OLS 
# 2 : Mixed Effects: FLAME 1 
# 1 : Mixed Effects: FLAME 1+2 
set fmri(mixed_yn) 2 

# Number of EVs 
set fmri(evs_orig) 4 
set fmri(evs_real) 8 
set fmri(evs_vox) 0 

# Number of contrasts 
set fmri(ncon_orig) 7 
set fmri(ncon_real) 7 

# Number of F-tests 
set fmri(nftests_orig) 0 
set fmri(nftests_real) 0 

# Add constant column to design matrix? (obsolete) 
set fmri(constcol) 0 

# Carry out post-stats steps? 
set fmri(poststats_yn) 1 

# Pre-threshold masking? 
set fmri(threshmask) "" 

# Thresholding 
# 0 : None 
# 1 : Uncorrected 
# 2 : Voxel 
# 3 : Cluster 
set fmri(thresh) 3 

# P threshold 
set fmri(prob_thresh) 0.05 

# Z threshold 
set fmri(z_thresh) 2.3 

# Z min/max for colour rendering 
# 0 : Use actual Z min/max 
# 1 : Use preset Z min/max 
set fmri(zdisplay) 0 

# Z min in colour rendering 
set fmri(zmin) 2 

# Z max in colour rendering 
set fmri(zmax) 8 

# Colour rendering type 
# 0 : Solid blobs 
# 1 : Transparent blobs 
set fmri(rendertype) 1 

# Background image for higher-level stats overlays 
# 1 : Mean highres 
# 2 : First highres 
# 3 : Mean functional 
# 4 : First functional 
# 5 : Standard space template 
set fmri(bgimage) 1 

# Create time series plots 
set fmri(tsplot_yn) 1 

# Registration? 
set fmri(reg_yn) 1 

# Registration to initial structural 
set fmri(reginitial_highres_yn) 0 

# Search space for registration to initial structural 
# 0 : No search 
# 90 : Normal search 
# 180 : Full search 
set fmri(reginitial_highres_search) 90 

# Degrees of Freedom for registration to initial structural 
set fmri(reginitial_highres_dof) 3 

# Registration to main structural 
set fmri(reghighres_yn) 0 

# Search space for registration to main structural 
# 0 : No search 
# 90 : Normal search 
# 180 : Full search 
set fmri(reghighres_search) 90 

# Degrees of Freedom for registration to main structural 
set fmri(reghighres_dof) BBR 

# Registration to standard image? 
set fmri(regstandard_yn) 1 

# Use alternate reference images? 
set fmri(alternateReference_yn) 0 

# Standard image 
set fmri(regstandard) "/usr/local/fsl/data/standard/MNI152_T1_2mm_brain" 

# Search space for registration to standard space 
# 0 : No search 
# 90 : Normal search 
# 180 : Full search 
set fmri(regstandard_search) 90 

# Degrees of Freedom for registration to standard space 
set fmri(regstandard_dof) 12 

# Do nonlinear registration from structural to standard space? 
set fmri(regstandard_nonlinear_yn) 0 

# Control nonlinear warp field resolution 
set fmri(regstandard_nonlinear_warpres) 10 

# High pass filter cutoff 
set fmri(paradigm_hp) 100 

# Total voxels 
set fmri(totalVoxels) 39997440 


# Number of lower-level copes feeding into higher-level analysis 
set fmri(ncopeinputs) 0 

# 4D AVW data or FEAT directory (1) 
set feat_files(1) "TEMPLATE_DATA" 

# Add confound EVs text file 
set fmri(confoundevs) 0 

# EV 1 title 
set fmri(evtitle1) "con" 

# Basic waveform shape (EV 1) 
# 0 : Square 
# 1 : Sinusoid 
# 2 : Custom (1 entry per volume) 
# 3 : Custom (3 column format) 
# 4 : Interaction 
# 10 : Empty (all zeros) 
set fmri(shape1) 3 

# Convolution (EV 1) 
# 0 : None 
# 1 : Gaussian 
# 2 : Gamma 
# 3 : Double-Gamma HRF 
# 4 : Gamma basis functions 
# 5 : Sine basis functions 
# 6 : FIR basis functions 
set fmri(convolve1) 2 

# Convolve phase (EV 1) 
set fmri(convolve_phase1) 0 

# Apply temporal filtering (EV 1) 
set fmri(tempfilt_yn1) 1 

# Add temporal derivative (EV 1) 
set fmri(deriv_yn1) 1 

# Custom EV file (EV 1) 
set fmri(custom1) "CON_EV" 

# Gamma sigma (EV 1) 
set fmri(gammasigma1) 3 

# Gamma delay (EV 1) 
set fmri(gammadelay1) 6 

# Orthogonalise EV 1 wrt EV 0 
set fmri(ortho1.0) 0 

# Orthogonalise EV 1 wrt EV 1 
set fmri(ortho1.1) 0 

# Orthogonalise EV 1 wrt EV 2 
set fmri(ortho1.2) 0 

# Orthogonalise EV 1 wrt EV 3 
set fmri(ortho1.3) 0 

# Orthogonalise EV 1 wrt EV 4 
set fmri(ortho1.4) 0 

# EV 2 title 
set fmri(evtitle2) "inc" 

# Basic waveform shape (EV 2) 
# 0 : Square 
# 1 : Sinusoid 
# 2 : Custom (1 entry per volume) 
# 3 : Custom (3 column format) 
# 4 : Interaction 
# 10 : Empty (all zeros) 
set fmri(shape2) 3 

# Convolution (EV 2) 
# 0 : None 
# 1 : Gaussian 
# 2 : Gamma 
# 3 : Double-Gamma HRF 
# 4 : Gamma basis functions 
# 5 : Sine basis functions 
# 6 : FIR basis functions 
set fmri(convolve2) 2 

# Convolve phase (EV 2) 
set fmri(convolve_phase2) 0 

# Apply temporal filtering (EV 2) 
set fmri(tempfilt_yn2) 1 

# Add temporal derivative (EV 2) 
set fmri(deriv_yn2) 1 

# Custom EV file (EV 2) 
set fmri(custom2) "INC_EV" 

# Gamma sigma (EV 2) 
set fmri(gammasigma2) 3 

# Gamma delay (EV 2) 
set fmri(gammadelay2) 6 

# Orthogonalise EV 2 wrt EV 0 
set fmri(ortho2.0) 0 

# Orthogonalise EV 2 wrt EV 1 
set fmri(ortho2.1) 0 

# Orthogonalise EV 2 wrt EV 2 
set fmri(ortho2.2) 0 

# Orthogonalise EV 2 wrt EV 3 
set fmri(ortho2.3) 0 

# Orthogonalise EV 2 wrt EV 4 
set fmri(ortho2.4) 0 

# EV 3 title 
set fmri(evtitle3) "neu" 

# Basic waveform shape (EV 3) 
# 0 : Square 
# 1 : Sinusoid 
# 2 : Custom (1 entry per volume) 
# 3 : Custom (3 column format) 
# 4 : Interaction 
# 10 : Empty (all zeros) 
set fmri(shape3) 3 

# Convolution (EV 3) 
# 0 : None 
# 1 : Gaussian 
# 2 : Gamma 
# 3 : Double-Gamma HRF 
# 4 : Gamma basis functions 
# 5 : Sine basis functions 
# 6 : FIR basis functions 
set fmri(convolve3) 2 

# Convolve phase (EV 3) 
set fmri(convolve_phase3) 0 

# Apply temporal filtering (EV 3) 
set fmri(tempfilt_yn3) 1 

# Add temporal derivative (EV 3) 
set fmri(deriv_yn3) 1 

# Custom EV file (EV 3) 
set fmri(custom3) "NEU_EV" 

# Gamma sigma (EV 3) 
set fmri(gammasigma3) 3 

# Gamma delay (EV 3) 
set fmri(gammadelay3) 6 

# Orthogonalise EV 3 wrt EV 0 
set fmri(ortho3.0) 0 

# Orthogonalise EV 3 wrt EV 1 
set fmri(ortho3.1) 0 

# Orthogonalise EV 3 wrt EV 2 
set fmri(ortho3.2) 0 

# Orthogonalise EV 3 wrt EV 3 
set fmri(ortho3.3) 0 

# Orthogonalise EV 3 wrt EV 4 
set fmri(ortho3.4) 0 

# EV 4 title 
set fmri(evtitle4) "err" 

# Basic waveform shape (EV 4) 
# 0 : Square 
# 1 : Sinusoid 
# 2 : Custom (1 entry per volume) 
# 3 : Custom (3 column format) 
# 4 : Interaction 
# 10 : Empty (all zeros) 
set fmri(shape4) 3 

# Convolution (EV 4) 
# 0 : None 
# 1 : Gaussian 
# 2 : Gamma 
# 3 : Double-Gamma HRF 
# 4 : Gamma basis functions 
# 5 : Sine basis functions 
# 6 : FIR basis functions 
set fmri(convolve4) 2 

# Convolve phase (EV 4) 
set fmri(convolve_phase4) 0 

# Apply temporal filtering (EV 4) 
set fmri(tempfilt_yn4) 1 

# Add temporal derivative (EV 4) 
set fmri(deriv_yn4) 1 

# Custom EV file (EV 4) 
set fmri(custom4) "ERR_EV" 

# Gamma sigma (EV 4) 
set fmri(gammasigma4) 3 

# Gamma delay (EV 4) 
set fmri(gammadelay4) 6 

# Orthogonalise EV 4 wrt EV 0 
set fmri(ortho4.0) 0 

# Orthogonalise EV 4 wrt EV 1 
set fmri(ortho4.1) 0 

# Orthogonalise EV 4 wrt EV 2 
set fmri(ortho4.2) 0 

# Orthogonalise EV 4 wrt EV 3 
set fmri(ortho4.3) 0 

# Orthogonalise EV 4 wrt EV 4 
set fmri(ortho4.4) 0 

# Contrast & F-tests mode 
# real : control real EVs 
# orig : control original EVs 
set fmri(con_mode_old) orig 
set fmri(con_mode) orig 

# Display images for contrast_real 1 
set fmri(conpic_real.1) 1 

# Title for contrast_real 1 
set fmri(conname_real.1) "con" 

# Real contrast_real vector 1 element 1 
set fmri(con_real1.1) 1 

# Real contrast_real vector 1 element 2 
set fmri(con_real1.2) 0 

# Real contrast_real vector 1 element 3 
set fmri(con_real1.3) 0 

# Real contrast_real vector 1 element 4 
set fmri(con_real1.4) 0 

# Real contrast_real vector 1 element 5 
set fmri(con_real1.5) 0 

# Real contrast_real vector 1 element 6 
set fmri(con_real1.6) 0 

# Real contrast_real vector 1 element 7 
set fmri(con_real1.7) 0 

# Real contrast_real vector 1 element 8 
set fmri(con_real1.8) 0 

# Display images for contrast_real 2 
set fmri(conpic_real.2) 1 

# Title for contrast_real 2 
set fmri(conname_real.2) "inc" 

# Real contrast_real vector 2 element 1 
set fmri(con_real2.1) 0 

# Real contrast_real vector 2 element 2 
set fmri(con_real2.2) 0 

# Real contrast_real vector 2 element 3 
set fmri(con_real2.3) 1.0 

# Real contrast_real vector 2 element 4 
set fmri(con_real2.4) 0 

# Real contrast_real vector 2 element 5 
set fmri(con_real2.5) 0 

# Real contrast_real vector 2 element 6 
set fmri(con_real2.6) 0 

# Real contrast_real vector 2 element 7 
set fmri(con_real2.7) 0 

# Real contrast_real vector 2 element 8 
set fmri(con_real2.8) 0 

# Display images for contrast_real 3 
set fmri(conpic_real.3) 1 

# Title for contrast_real 3 
set fmri(conname_real.3) "neu" 

# Real contrast_real vector 3 element 1 
set fmri(con_real3.1) 0 

# Real contrast_real vector 3 element 2 
set fmri(con_real3.2) 0 

# Real contrast_real vector 3 element 3 
set fmri(con_real3.3) 0 

# Real contrast_real vector 3 element 4 
set fmri(con_real3.4) 0 

# Real contrast_real vector 3 element 5 
set fmri(con_real3.5) 1.0 

# Real contrast_real vector 3 element 6 
set fmri(con_real3.6) 0 

# Real contrast_real vector 3 element 7 
set fmri(con_real3.7) 0 

# Real contrast_real vector 3 element 8 
set fmri(con_real3.8) 0 

# Display images for contrast_real 4 
set fmri(conpic_real.4) 1 

# Title for contrast_real 4 
set fmri(conname_real.4) "err" 

# Real contrast_real vector 4 element 1 
set fmri(con_real4.1) 0 

# Real contrast_real vector 4 element 2 
set fmri(con_real4.2) 0 

# Real contrast_real vector 4 element 3 
set fmri(con_real4.3) 0 

# Real contrast_real vector 4 element 4 
set fmri(con_real4.4) 0 

# Real contrast_real vector 4 element 5 
set fmri(con_real4.5) 0 

# Real contrast_real vector 4 element 6 
set fmri(con_real4.6) 0 

# Real contrast_real vector 4 element 7 
set fmri(con_real4.7) 1.0 

# Real contrast_real vector 4 element 8 
set fmri(con_real4.8) 0 

# Display images for contrast_real 5 
set fmri(conpic_real.5) 1 

# Title for contrast_real 5 
set fmri(conname_real.5) "con-inc" 

# Real contrast_real vector 5 element 1 
set fmri(con_real5.1) 1.0 

# Real contrast_real vector 5 element 2 
set fmri(con_real5.2) 0 

# Real contrast_real vector 5 element 3 
set fmri(con_real5.3) -1.0 

# Real contrast_real vector 5 element 4 
set fmri(con_real5.4) 0 

# Real contrast_real vector 5 element 5 
set fmri(con_real5.5) 0 

# Real contrast_real vector 5 element 6 
set fmri(con_real5.6) 0 

# Real contrast_real vector 5 element 7 
set fmri(con_real5.7) 0 

# Real contrast_real vector 5 element 8 
set fmri(con_real5.8) 0 

# Display images for contrast_real 6 
set fmri(conpic_real.6) 1 

# Title for contrast_real 6 
set fmri(conname_real.6) "con-neu" 

# Real contrast_real vector 6 element 1 
set fmri(con_real6.1) 1.0 

# Real contrast_real vector 6 element 2 
set fmri(con_real6.2) 0 

# Real contrast_real vector 6 element 3 
set fmri(con_real6.3) 0 

# Real contrast_real vector 6 element 4 
set fmri(con_real6.4) 0 

# Real contrast_real vector 6 element 5 
set fmri(con_real6.5) -1.0 

# Real contrast_real vector 6 element 6 
set fmri(con_real6.6) 0 

# Real contrast_real vector 6 element 7 
set fmri(con_real6.7) 0 

# Real contrast_real vector 6 element 8 
set fmri(con_real6.8) 0 

# Display images for contrast_real 7 
set fmri(conpic_real.7) 1 

# Title for contrast_real 7 
set fmri(conname_real.7) "inc-neu" 

# Real contrast_real vector 7 element 1 
set fmri(con_real7.1) 0 

# Real contrast_real vector 7 element 2 
set fmri(con_real7.2) 0 

# Real contrast_real vector 7 element 3 
set fmri(con_real7.3) 1.0 

# Real contrast_real vector 7 element 4 
set fmri(con_real7.4) 0 

# Real contrast_real vector 7 element 5 
set fmri(con_real7.5) -1.0 

# Real contrast_real vector 7 element 6 
set fmri(con_real7.6) 0 

# Real contrast_real vector 7 element 7 
set fmri(con_real7.7) 0 

# Real contrast_real vector 7 element 8 
set fmri(con_real7.8) 0 

# Display images for contrast_orig 1 
set fmri(conpic_orig.1) 1 

# Title for contrast_orig 1 
set fmri(conname_orig.1) "con" 

# Real contrast_orig vector 1 element 1 
set fmri(con_orig1.1) 1 

# Real contrast_orig vector 1 element 2 
set fmri(con_orig1.2) 0 

# Real contrast_orig vector 1 element 3 
set fmri(con_orig1.3) 0 

# Real contrast_orig vector 1 element 4 
set fmri(con_orig1.4) 0 

# Display images for contrast_orig 2 
set fmri(conpic_orig.2) 1 

# Title for contrast_orig 2 
set fmri(conname_orig.2) "inc" 

# Real contrast_orig vector 2 element 1 
set fmri(con_orig2.1) 0 

# Real contrast_orig vector 2 element 2 
set fmri(con_orig2.2) 1.0 

# Real contrast_orig vector 2 element 3 
set fmri(con_orig2.3) 0 

# Real contrast_orig vector 2 element 4 
set fmri(con_orig2.4) 0 

# Display images for contrast_orig 3 
set fmri(conpic_orig.3) 1 

# Title for contrast_orig 3 
set fmri(conname_orig.3) "neu" 

# Real contrast_orig vector 3 element 1 
set fmri(con_orig3.1) 0 

# Real contrast_orig vector 3 element 2 
set fmri(con_orig3.2) 0 

# Real contrast_orig vector 3 element 3 
set fmri(con_orig3.3) 1.0 

# Real contrast_orig vector 3 element 4 
set fmri(con_orig3.4) 0 

# Display images for contrast_orig 4 
set fmri(conpic_orig.4) 1 

# Title for contrast_orig 4 
set fmri(conname_orig.4) "err" 

# Real contrast_orig vector 4 element 1 
set fmri(con_orig4.1) 0 

# Real contrast_orig vector 4 element 2 
set fmri(con_orig4.2) 0 

# Real contrast_orig vector 4 element 3 
set fmri(con_orig4.3) 0 

# Real contrast_orig vector 4 element 4 
set fmri(con_orig4.4) 1.0 

# Display images for contrast_orig 5 
set fmri(conpic_orig.5) 1 

# Title for contrast_orig 5 
set fmri(conname_orig.5) "con-inc" 

# Real contrast_orig vector 5 element 1 
set fmri(con_orig5.1) 1.0 

# Real contrast_orig vector 5 element 2 
set fmri(con_orig5.2) -1.0 

# Real contrast_orig vector 5 element 3 
set fmri(con_orig5.3) 0 

# Real contrast_orig vector 5 element 4 
set fmri(con_orig5.4) 0 

# Display images for contrast_orig 6 
set fmri(conpic_orig.6) 1 

# Title for contrast_orig 6 
set fmri(conname_orig.6) "con-neu" 

# Real contrast_orig vector 6 element 1 
set fmri(con_orig6.1) 1.0 

# Real contrast_orig vector 6 element 2 
set fmri(con_orig6.2) 0 

# Real contrast_orig vector 6 element 3 
set fmri(con_orig6.3) -1.0 

# Real contrast_orig vector 6 element 4 
set fmri(con_orig6.4) 0 

# Display images for contrast_orig 7 
set fmri(conpic_orig.7) 1 

# Title for contrast_orig 7 
set fmri(conname_orig.7) "inc-neu" 

# Real contrast_orig vector 7 element 1 
set fmri(con_orig7.1) 0 

# Real contrast_orig vector 7 element 2 
set fmri(con_orig7.2) 1.0 

# Real contrast_orig vector 7 element 3 
set fmri(con_orig7.3) -1.0 

# Real contrast_orig vector 7 element 4 
set fmri(con_orig7.4) 0 

# Contrast masking - use >0 instead of thresholding? 
set fmri(conmask_zerothresh_yn) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 2? 
set fmri(conmask1_2) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 3? 
set fmri(conmask1_3) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 4? 
set fmri(conmask1_4) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 5? 
set fmri(conmask1_5) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 6? 
set fmri(conmask1_6) 0 

# Mask real contrast/F-test 1 with real contrast/F-test 7? 
set fmri(conmask1_7) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 1? 
set fmri(conmask2_1) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 3? 
set fmri(conmask2_3) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 4? 
set fmri(conmask2_4) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 5? 
set fmri(conmask2_5) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 6? 
set fmri(conmask2_6) 0 

# Mask real contrast/F-test 2 with real contrast/F-test 7? 
set fmri(conmask2_7) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 1? 
set fmri(conmask3_1) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 2? 
set fmri(conmask3_2) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 4? 
set fmri(conmask3_4) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 5? 
set fmri(conmask3_5) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 6? 
set fmri(conmask3_6) 0 

# Mask real contrast/F-test 3 with real contrast/F-test 7? 
set fmri(conmask3_7) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 1? 
set fmri(conmask4_1) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 2? 
set fmri(conmask4_2) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 3? 
set fmri(conmask4_3) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 5? 
set fmri(conmask4_5) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 6? 
set fmri(conmask4_6) 0 

# Mask real contrast/F-test 4 with real contrast/F-test 7? 
set fmri(conmask4_7) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 1? 
set fmri(conmask5_1) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 2? 
set fmri(conmask5_2) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 3? 
set fmri(conmask5_3) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 4? 
set fmri(conmask5_4) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 6? 
set fmri(conmask5_6) 0 

# Mask real contrast/F-test 5 with real contrast/F-test 7? 
set fmri(conmask5_7) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 1? 
set fmri(conmask6_1) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 2? 
set fmri(conmask6_2) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 3? 
set fmri(conmask6_3) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 4? 
set fmri(conmask6_4) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 5? 
set fmri(conmask6_5) 0 

# Mask real contrast/F-test 6 with real contrast/F-test 7? 
set fmri(conmask6_7) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 1? 
set fmri(conmask7_1) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 2? 
set fmri(conmask7_2) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 3? 
set fmri(conmask7_3) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 4? 
set fmri(conmask7_4) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 5? 
set fmri(conmask7_5) 0 

# Mask real contrast/F-test 7 with real contrast/F-test 6? 
set fmri(conmask7_6) 0 

# Do contrast masking at all? 
set fmri(conmask1_1) 0

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