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Pre-PLS steps
WITHIN EACH SUBJECTS DIR.
Create a PLS data directory
Create a Timing directory (eg. Tpnts) within the PLSdata directorythis directory should contain .txt files (run01.txt, run02.txt ...etc...) consisting of vectors with the timing information (when an event occured) for each scan/run/conditiondepending on your experimental design.
Create different sub-directories within the PLSdata dir for each experimental run/condition & copy over all the appropriate snr*.img files into the correct subdirectory
Create a ALLRUNS directory within the PLSdata dir as well....leave it empty for now.
WITHIN THE EXPERIMENTAL DIR
Create a scripts directory and a group PLS directory (eg. PLS)
Copy over get_timing.sh, get_onsets.m, and create_links.sh to scripts directory---EDIT appropriately for YOUR experiment. RUN get_timing, then create_links and edit get_onsetsyou will call it up when you run the Event-related PLS.
Get-timing.sh
#! /bin/tcsh
# 1 2 3 4 5 6 7 8 9 10 11 12
set run_order=( Re1 Re2 Rd1 Rd2 Te1 Te2 Td1 Td2 Ae1 Ae2 Ad1 Ad2 )
set jul21_runs=( Td1 Re1 Te1 Rd1 Ae1 Re2 Ad1 Rd2 Td2 Ad2 Ae2 Te2 )
set jul28_runs=( Td1 Te1 Re1 Rd1 Ae1 Ae2 Ad1 Re2 Te2 Td2 Ad2 Rd2 )
set jul28c_runs=( Rd1 Rd2 Te1 Ad1 Ad2 Te2 Ae1 Re1 Td1 Td2 Re2 Ae2 )
set aug14_runs=( Td1 Rd1 Ad1 Ae1 Re1 Re2 Td2 Rd2 Ae2 Te1 Ad2 Te2 )
set aug25a_runs=( Ad1 Td1 Rd1 Re1 Td2 Re2 Te1 Ae1 Te2 Ae2 Rd2 Ad2 )
set aug25b_runs=( Rd1 Td1 Re1 Ad1 Rd2 Te1 Te2 Ae1 Td2 Ae2 Ad2 Re2 )
set nov3_runs=( Td1 Te1 Re1 Rd1 Ae1 Ae2 Ad1 Re2 Te2 Td2 Ad2 Rd2 )
set nov3a_runs=( Rd1 Rd2 Te1 Ad1 Ad2 Te2 Ae1 Re1 Td1 Td2 Re2 Ae2 )
set nov3b_runs=( Rd1 Td1 Ae1 Te1 Ad1 Rd2 Ae2 Re1 Te2 Ad2 Re2 Td2 )
set nov24_runs=( Td1 Rd1 Ad1 Ae1 Re1 Re2 Td2 Rd2 Ae2 Te1 Ad2 Te2 )
set dec1_runs=( Ad1 Re1 Td1 Td2 Rd1 Te1 Rd2 Ae1 Te2 Ae2 Re2 Ad2 )
set dec8_runs=( Td1 Re1 Te1 Rd1 Ae1 Re2 Ad1 Rd2 Td2 Ad2 Ae2 Te2 )
set jul21_idx=( 7 1 5 3 9 2 11 4 8 12 10 6 )
set jul28_idx=( 7 5 1 3 9 10 11 2 6 8 12 4 )
set jul28c_idx=( 3 4 5 11 12 6 9 1 7 8 2 10 )
set aug14_idx=( 7 3 11 9 1 2 8 4 10 5 12 6 )
set aug25a_idx=( 11 7 3 1 8 2 5 9 6 10 4 12 )
set aug25b_idx=( 3 7 1 11 4 5 6 9 8 10 12 2 )
set nov3_idx=( 7 5 1 3 9 10 11 2 6 8 12 4 )
set nov3a_idx=( 3 4 5 11 12 6 9 1 7 8 2 10 )
set nov3b_idx=( 3 7 9 5 11 4 10 1 6 12 2 8 )
set nov24_idx=( 7 3 11 9 1 2 8 4 10 5 12 6 )
set dec1_idx=( 11 1 7 8 3 5 4 9 6 10 2 12 )
set dec8_idx=( 7 1 5 3 9 2 11 4 8 12 10 6 )
set parent_dir=`pwd`;
set img_dir=${parent_dir}/PLSdata this is the directory you created WITHIN each subjects dir
set tp_dir=${img_dir}/Tpnts; this is the time points directory in which all the run0X.txt files are
set f_prefix='snr'; setting up image prefixes to snr
cd ${tp_dir} changing directory to Tpnts
# identify the relavent runs
#
@ cnt = 1
set run_flist=()
set t_pts_list=()
foreach run_file ( run*txt ) looking up each of your run0X.txt files
sed -e '/^ /d' ${run_file} | sed -e '/^$/d' > tmp
@ img_cnt=`cat tmp | wc -l`
rm tmp
if ( $img_cnt < 100 ) then
set run_flist=( $run_flist $run_file )
set t_pts_list=( $t_pts_list $img_cnt )
endif
@ cnt++
end
# extract the timing information
#
rm ${tp_dir}/timing.txt > /dev/null
@ cnt = 1
foreach i ( ${dec1_runs} ) subject dir you are in---make sure to change this for each subject!!!!
set run_idx=${dec1_idx[$cnt]}
@ num_imgs=`ls -l ${img_dir}/$i/${f_prefix}*img | wc -l`
if ( $num_imgs != ${t_pts_list[$cnt]} ) then
echo " Warning: $i - img_cnt: $num_imgs, t_pts: ${t_pts_list[$cnt]}"
endif
set run_file=${run_flist[$cnt]}
head -n $num_imgs $run_file | sed -e s/10/${run_idx}/ >> ${tp_dir}/timing.txt creates timing.txt
@ cnt++
end
cd ${parent_dir}
#------------------------------------------------------------------
echo `ls -l $img_dir/AllRuns/${f_prefix}*img | wc -l`
echo `wc -l $tp_dir/timing.txt`
#------------------------------------------------------------------
Create-links.shlinks up snr*.img from all PLSdata dir to AllRuns dir according to subj-specific scan order
#! /bin/tcsh
set jul21_runs=( Td1 Re1 Te1 Rd1 Ae1 Re2 Ad1 Rd2 Td2 Ad2 Ae2 Te2 )
set jul28_runs=( Td1 Te1 Re1 Rd1 Ae1 Ae2 Ad1 Re2 Te2 Td2 Ad2 Rd2 )
set jul28c_runs=( Rd1 Rd2 Te1 Ad1 Ad2 Te2 Ae1 Re1 Td1 Td2 Re2 Ae2 )
set aug14_runs=( Td1 Rd1 Ad1 Ae1 Re1 Re2 Td2 Rd2 Ae2 Te1 Ad2 Te2 )
set aug25a_runs=( Ad1 Td1 Rd1 Re1 Td2 Re2 Te1 Ae1 Te2 Ae2 Rd2 Ad2 )
set aug25b_runs=( Rd1 Td1 Re1 Ad1 Rd2 Te1 Te2 Ae1 Td2 Ae2 Ad2 Re2 )
set nov3_runs=( Td1 Te1 Re1 Rd1 Ae1 Ae2 Ad1 Re2 Te2 Td2 Ad2 Rd2 )
set nov3a_runs=( Rd1 Rd2 Te1 Ad1 Ad2 Te2 Ae1 Re1 Td1 Td2 Re2 Ae2 )
set nov3b_runs=( Rd1 Td1 Ae1 Te1 Ad1 Rd2 Ae2 Re1 Te2 Ad2 Re2 Td2 )
set nov24_runs=( Td1 Rd1 Ad1 Ae1 Re1 Re2 Td2 Rd2 Ae2 Te1 Ad2 Te2 )
set dec1_runs=( Ad1 Re1 Td1 Td2 Rd1 Te1 Rd2 Ae1 Te2 Ae2 Re2 Ad2 )
set dec8_runs=( Td1 Re1 Te1 Rd1 Ae1 Re2 Ad1 Rd2 Td2 Ad2 Ae2 Te2 )
set parent_dir=`pwd`;
set img_dir=${parent_dir}/PLSdata
set f_prefix='snr';
set target_dir=${img_dir}/AllRuns;
cd ${img_dir}
rm -rf ${target_dir}
mkdir ${target_dir}
@ cnt = 1
foreach i ( ${dec8_runs} ) change subject name every time you run a different subject!!!
cd ${img_dir}/$i
echo Working on ${img_dir}/$i
@ img_cnt = 1
foreach j (${f_prefix}*img)
set new_fname=`printf "%sII_%04d" ${f_prefix} $cnt`
ln -s ${img_dir}/$i/$j ${target_dir}/$new_fname.img
ln -s ${img_dir}/$i/$j:r.hdr ${target_dir}/$new_fname.hdr
@ cnt++
@ img_cnt++
end
echo " Total number of IMG files in ${i}: $img_cnt make sure when you run this program the output states the same the total # scans across runs is the same for each subject & makes sense according to # of scans you obtained from your experiment
cd ${img_dir}
end
cd ${parent_dir}
Get-onsets.m Matlab script for calling up appropriate *.img #s for events for each condition within the event-related PLS program
function [onsets] = get_onsets(subj_id,cond_idx)
%
% USAGE: onsets = get_onsets(subj_id,cond_idx)
%
% subj_id: Subject ID must be one of these ('jul21','jul28',
% 'jul28c','aug14','aug25a','aug25b','nov3','nov3a',
% 'nov3b','nov24','dec1','dec8')
%
subj_id_list = {'jul21','jul28', 'jul28c','aug14','aug25a','aug25b', ...
'nov3','nov3a', 'nov3b','nov24','dec1','dec8'};
subj_dir = {'jul21_2001','jul28_2001', 'jul28_2001c','aug14_2001', ...
'aug25_2001a','aug25_2001b', 'nov3_2001','nov3_2001a', ...
'nov3_2001b','nov24_2001','dec1_2001','dec8_2001'};
fmri_dir = '/Q/natasha/fMRI';
num_subj = length(subj_id_list);
idx = 0;
for i=1:num_subj,
if ( isequal(subj_id_list{i},subj_id) )
idx = i;
break;
end;
end;
if (idx == 0)
disp('ERROR: Invalid subject id');
return;
end;
pls_dir = fullfile(fmri_dir,subj_dir{idx},'PLSdata');
tpts_file = fullfile(pls_dir,'Tpnts','timing.txt');
load(tpts_file);
time_pts = timing(:,1);
null_time_pts = timing(:,2);
cond_list = [ 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 ];
cond_list = [ 1 1 2 2 3 3 4 4 5 5 6 6 7 7 7 7 7 7 7 7 7 7 7 7 ];
onsets = [];
if ( cond_idx <= 6 )
% non-null events --change this number for the number of conditions you will have
run_idx = find(cond_list == cond_idx);
for i=1:length(run_idx),
onsets = [onsets find(time_pts == run_idx(i))'];
end;
else
run_idx = find(cond_list == cond_idx) - 12;
for i=1:length(run_idx),
onsets = [onsets find(null_time_pts == run_idx(i))'];
end;
end;
onsets = sort(onsets - 1);
return;
Running Event-related PLS
Create a PLS directory to place all your datamats & results in once you have them.
cd PLS > change to the PLS directory you just created
matlab > run Matlab
add the path to the scripts directory containing get_onsets.m
add the path to the PLS directory which contains all the PLS scripts
plsgui> command to start running pls
- How to display PLS results of Event Related fMRI data
All the PLS Result data are saved in any of the '*fMRIresult.mat' files.
The result window will provide you a convenient way to display the Brain
LV image and Bootstrap Ratio image (if bootstrap number is greater than
0, and you can toggle between Bootstrap Ratio image and Brain LV image by
selecting the View menu.)
From 'File' menu, you can choose:
1. Load Background Image
2. Load PLS Result
3. Save BLV Result to IMG File
4. Save BS Ratio to IMG File (if bootstrap)
From 'Windows' menu, you can choose:
1. Singular Value Plot
2. Canonical Brain Scores Plot
3. Design LV and Design Scores Plot (for task analysis result)
4. Response Function Plot (for task analysis result)
5. Brain Scores vs. Behavior Data Plot (for behavior test result)
6. Datamat Correlations Plot (for behavior test result)
7. Create Brain LV Figure
8. Create Bootstrap Ratio Figure (if bootstrap)
From 'Report' menu, you can choose:
1. Set Cluster Report Option
2. Load Cluster Report
3. Create Cluster Report
- About Color Bar and Color in Result Image
The color in result image represent its value compared with threshold
value. If the absolute value is below the threshold, it will be shown
in gray. The maximum value will be shown in saturated red, which is
located in the upper part of color bar, while the minimum value will be
shown in dark blue, which is located in the lower part of color bar.
** After adjust any of the above value, press "PLOT" button to update
the display.
- About the Control Panel
The control panel is located at the left of the result window. On top
of the control panel, it displays the name of result file.
LV index: By default, it display the result on LV1, you can update the
'LV index:' field to display results on other latent variable.
First Slice: First slice in the image to be shown
Last Slice: Last slice in the image to be shown
Step: Incremented steps between two display slices
Threshold: threshold is calculated based on 95 percentile of the brain
LV or bootstrap ratio. You can always update this field to change the
threshold.
Curr. Value: clicking on any voxel on brain LV image, this field will
display the current value on the clicked voxel.
approx. P Value: clicking on any voxel on bootstrap ratio image, this
field will display approximate P value of the bootstrap ratio.
Min Value or Ratio: any data lower than this value will be set to this
value.
Max Value or Ratio: any data higher than this value will be set to this
value.
XYZ: clicking on any voxel on result image, this field will display the
coordinate of the clicked voxel in [x y slice#].
XYZ(mm): it displays the clicked voxel coordinate in respect to the
origin voxel coordinate in mm unit. Usually, the origin voxel coordinate
is written in image header file. If the it is not indicated in the image
header file, or the origin in the image header file contains 0, it will
then be set to middle of the brain.
- Background Template File and Background Image
Both background template and background image contains 1 brain volume of
image data, which provides the basic brain physical structure that can
contrast out the activity brain area we try to display.
- Save BLV Result (or BS Ratio) to IMG File
Save the volume of current LV of index Brain LV or BS Ratio data.
- Singular Values Plot
This is a bar graph window. Through its view menu, you can choose to
display Observed Singular Values, Percent Crossblock Covarience, and
Permuted Singular Value if if permutation number is greater than 0.
- Design LV and Design Score Plot
In this window, it displays Design LV and Design Scores in different
conditions, and Brain Scores vs. Design Scores. Different displays are
switched via view menu. All the displays correspond to a LV vector. The
default LV is LV #1, and you can select other LVs in the left Display
LVs panel in this window.
- Response Function Plot
This window plots the activity of a particular voxel. When you click
this menu, the plot window will be popped up behind the main result
window. By clicking any voxel, the response function window will plot
the detail information about voxel activity.
- Canonical Brain Scores Plot
This window plots the brain scores for individual and average stimulus
in each condition. When you click this menu, the Canonical Brain Scores
window will open. Choose one of LV and click Plot button, and the result
will be displayed. This feature is helpful to identify the timepoints
where the maximal effects are present.
- Brain Score vs Behavior Data, and Correlation Bar Plot
If the result is from Behavior test, the Brain Score vs Behavior Data
menu is available in the window menu instead of Design LV and Design
Scores Plot. It displays the Brain Score vs Behavior Data for all the
conditions. User can change the number of subplot through 'Change Plot
Dimension' menu under 'Option' menu. User can also choose 'Show Per LV
Plot' to have a montage like plot.
If there is any bootstrap loop in the Behavior test, user can also view
the Correlation Bar Plot by choosing 'Show Correlation Plot' under 'View'
menu.
- Datamat Correlation plot
This window plots the correlation between datamat and behavior data for
each behavior measures and their average for each condition. When you
click this menu, the plot window will be popped up behind the main result
window. By clicking any voxel, the datamat correlation window will plot
the detail information just mentioned.
- Cluster Report
A cluster is defined as a connected volume in the brain. If the cluster
size is smaller than the minimum cluster size you defined in the cluster
report option, it will not be count. If the distance between two cluster
peak is shorter than the minimum distance you defined in the cluster
report option, they are only counted as one cluster. In cluster report
option, you can also re-define the origin location of the brain.
The cluster report window will display the cluster#, peak voxel location,
and cluster size etc. You can also save cluster report into a .mat file,
and the c
This is the order in which you want all scans to be organized
This is the order in which each scan occurred for each subject
This is the step to reorder each subjects scans into the order you desired.
eg. subj jul21: Td1 was scan 1 but you want it to be scan 7
This is the order in which each scan occurred for each subject
Edit all this info appropriately for your experiment
Make sure these are the correct dir & file names for your experiment
This cond_list numbering should be consistent with your get_timing.sh file
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