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Commit 13e2013f authored by Lea Roumazeilles's avatar Lea Roumazeilles
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template pipeline

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README.md
View file @ 13e2013f
......@@ -6,7 +6,7 @@ This repository contains processing code and result files associated with the fo
### Lea Roumazeilles, Frederik J. Lange, R. Austin Benn, Jesper L. R. Andersson, Mads Frost Bertelsen, Paul R Manger, Edmund Flach, Alexandre A. Khrapitchev, Katherine L. Bryant, Jérôme Sallet, Rogier B. Mars
Explanations to use the scripts used for the results can be found in /scripts/scripts_README.md
Explanations to use the scripts used for the results can be found in scripts/Analysis and scripts/Template
Some scripts call other scripts from MrCat toolbox available at: https://github.com/neuroecology/MrCat
Raw data of the lemur and squirrel monkey will be made available on the Digital Brain Bank of the Wellcome Centre for Integrative Neuroimaging (https://open.win.ox.ac.uk/DigitalBrainBank/#/) upon acceptance of the paper. Macaque data are already available within PRIME-DE ((Milham et al. 2018); http://fcon_1000.projects.nitrc.org/indi/indiPRIME.html). The scripts used for preprocessing are available in MrCat (www.neuroecologylab.org, https://github.com/neuroecology/MrCat). MMORF is available as a Singularity image online (https://git.fmrib.ox.ac.uk/flange/mmorf_beta). The surface pipeline is available online (https://github.com/neurabenn/precon_all).
......@@ -16,7 +16,7 @@ Raw data of the lemur and squirrel monkey will be made available on the Digital
Species could be: lemur, squirrel_monkey, macaque
Repositeory is organised organised as follow:
Repository is organised organised as follow:
```
figures
|
......@@ -28,9 +28,9 @@ figures
scripts
|
+-- Analysis
+-- Analysis (with Analysis_README.md)
|
+-- scripts_README.md
+-- Template (with templating_README.md)
species
|
......
scripts/Analysis/Analysis_README.md 0 → 100644
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# Cortical morphology and white matter tractography of three phylogenetically distant primates: Evidence for a simian elaboration
Scripts in this repository will need preprocessed data output such as bedpostX folder and warp from subject space to standard space.
# Tractography
**1. Protocols**
Each folder contains:
1 seed, 1 target, 1 exclude and 1 invert file.
ILF and MdLF test are for the control analysis.
relevant scripts to make the protocol figures: ```figure_tractography_recipes.sh``` (*figure 1*)
(calls convert from imagemagick)
**2. Run xtract**
Files needed in tractography folder of each species: ```slist.txt``` file with all the tracts you want in format:
tract_l 10
tract_r 10
...
And ```options.txt``` with the options that you want to change from probtrackx
relevant scripts: ```wrapper_xtract.sh```
data needed: BedpostX data, wrap from standard to subject space and form subject to standard space
**3. Average the tracts across subject**
relevant scripts: ```average_tracts.sh```
Average tracts, log norm them and copy the results to the /average/all folder.
# Controls
**1. ILF parietal branch control**
protocols found in protocols folder with name 'test'
relevant scripts: ```figure_tractography_recipes_ilfcontrol.sh``` to show the recipe figures (*figure 2*)
Then ```wrapper_xtract.sh``` with a different slist to run the tractography for ilf_test and mdlf_test
Then ```figure_control_ilf.m``` to make the ratio and the figure. (uses individual data and boxplot_statistics.m script) (*figure 6C*)
**2. SLFc and OR control**
relevant scripts: ```figure_ratios_tracts.m``` (uses subplot_tight function) wich looks at ratio with according tracts (cbd or cbt) and then save figure (*figure 8C*)
# Surface tracts
**1. Create the connectivity matrix**
relevant scripts: ```create_surface_fdtmatrix2.sh```
(calls quicktract_gpu)
data needed: bedpostX folder with nodif_brain_mask, standard images, warps from standard space to diffusion space and inversly and a surface midthickness for each species and a medial wall (named midline) mask.
This step creates a matrix defining the connectivity of each vertex to the GM to the rest of the brain.
**2. Average fdt_matrix2**
relevant scripts: ```average_fdt_matrix2.m```
This step average the matrices obtained at the previous stages across subjects.
**3. Create the surface tracts**
relevant scripts: ```create_surf_tract.m``` uses the multiply_fdt from MrCatDev
relevant files: in tractography/average and averaged matrices from previous step.
This step creates the surface tracts in a dtseries in tractography/average/surface/tract_surf.hemi.dtseries.nii
**4. Prepare the files to make a good workbench scenes**
Need to define a label list with the colors that you want (saved in script folder)
Ex:
```
CBd
1 255 94 87 255
Name
value of the tract in your dtseries / RGB code / alpha
```
relevant scripts: ```surf_tracts_smoothloglabel.sh``` (calls lognorm_surf_tract.m)
Then open the scene file: $WBDIR/wb_view figures/tractography/all_tracts_surface.scene and choose which tract (*figures 5B, 6B, 7B, 8B*)
**5. Tracts and cortical labels**
In scene file all_tracts_surface.scene and open scene slfc_or_labels (*figure 9*).
scripts/Template/Wrapper_templating.sh 0 → 100644
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#!/bin/bash
umask u+rw,g+rw # give group read/write permissions to all new files
## GENERAL SETTINGS
main=/your_path/ # to data directory
main_root=/your_path/ #to output directory if different
morf_dir=/path_to_mmorf/ #input path to where you have downloaded mmorf
script_dir=$main/scripts/Template #or change to your won script dir
## TO CHOOSE TASK TO PERFORM FROM THE LIST BELOW
tasks="finish_mask"
## finish_mask apply_mask bias_corr norm_int init_targ aff_reg create_temp_0 nonlin_reg unbias_warp create_temp
iter=""
## set iteration for tasks: nonlinereg unbiaswarp create_temp, ("1a" "1b" "2a" "2b" "3a" "3b" "4a" "4b" "5a" "5b")
## if not set will check if files have been created at previous iteration to determine which iteration to do
## if want to run all iteration at once ucomment the following (set for running iteration from 1a->5b)
# tasks+=" nonlin_reg unbias_warp create_temp" #1a
# tasks+=" nonlin_reg unbias_warp create_temp" #1b
# tasks+=" nonlin_reg unbias_warp create_temp" #2a
# tasks+=" nonlin_reg unbias_warp create_temp" #2b
# tasks+=" nonlin_reg unbias_warp create_temp" #3a
# tasks+=" nonlin_reg unbias_warp create_temp" #3b
# tasks+=" nonlin_reg unbias_warp create_temp" #4a
# tasks+=" nonlin_reg unbias_warp create_temp" #4b
# tasks+=" nonlin_reg unbias_warp create_temp" #5a
# tasks+=" nonlin_reg unbias_warp create_temp" #5b
sh $script_dir/templating.sh -r $main_root -t "${tasks}" -m $morf_dir -i "${iter}"
scripts/Template/templating.sh 0 → 100644
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#!/bin/bash
# Main script to apply the template pipeline from Rick Lange
# Revisited by Lea to be more general
# Could be launch from the Wrapper
# ------------------------------ #
# usage
# ------------------------------ #
usage() {
cat <<EOF
templating.sh: run the template pipeline to make multimodal template from dtifit output nodif and dti_tensor
Usage: sh templating.sh -r </main_path/> -t <tasks> -m </morf_path/> -i <iter_nb>
Example: sh templating.sh -r /main_path/ -t "apply_mask"
Main arguments:
-r </main_path/> path to main root with the /subs/ folder and each subject folder with nodif and dti_tensor to start with
-t <tasks> Tasks to perform in templating, if several tasks to be defined in between " "
task could be: "finish_mask apply_mask bias_corr norm_int init_targ aff_reg create_temp_0 nonlin_reg unbias_warp create_temp"
Options:
-m </morf_dir/> give the path to where mmorf.sif is, required for task="create_temp_0 nonlin_reg create_temp"
-i <iteration_nb> iteration number, could be set for task="nonlinereg unbiaswarp create_temp",
but if not will check if files exist to determine which iteration to run and will increment
Tasks:
finish_mask: after designing the mask, it is going to fill in the holes but better to check afterwards
apply_mask: apply the mask for all subjects
bias_corr: bias correct the t2 image using FAST
norm_int: normalise intensities of all t2
init_targ: take the first subject as the target (then unbias so no need to pick a specific one)
aff_reg: perform the affine registration to random subject and unbias
create_temp_0: create the first template (if want a nice acpc need to do the transform with nudge tool before)
nonlin_reg: perform multimodal non linear registration (needs cuda queue)
unbias_warp: unbias the warps
create_temp: create template
EOF
}
#==============================
# overhead, argument parsing
#==============================
# if no arguments given, return the usage
if [[ $# -eq 0 ]] ; then usage; exit 0; fi
# parse the input arguments
while [[ $# -gt 0 ]] ; do
case "$1" in
-r|--mainroot) main_root="$2"; shift 2 ;;
-t|--task) tasks="$2"; shift 2 ;;
-m|--morf) morf_dir="$2"; shift 2 ;;
-i|--it) iter="$2"; shift 2 ;;
*) args=$(echo "$args" "$1"); shift ;; # either obligatory or unknown option
esac
done
# CHECK FOR MANDATORY ARGUMENT
if [ -z $main_root ]; then echo "Error: you need to set up the main_root"; exit 1; fi
if [ -z $tasks ]; then echo "Error: you need to give some tasks to do"; exit 1; fi
# GENERAL SETTINGS
cwd=$(pwd)
iterations=("1a" "1b" "2a" "2b" "3a" "3b" "4a" "4b" "5a" "5b")
# ============================================
# loop over tasks
# ============================================
for task in $tasks; do
echo ""
echo "NOW Working on task: $task"
echo ""
# -----------------------------------------
# finish mask
# -----------------------------------------
if [ $task = finish_mask ] ; then
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running fslmaths to polish the mask"
echo "///////////////////////////////////////////////////////////"
echo ""
fslmaths $sub_dir/mask -dilM $sub_dir/mask # dilate to make sure the hole can be filled later
fslmaths $sub_dir/mask -fillh $sub_dir/mask # refill the holes
fslmaths $sub_dir/mask -eroF $sub_dir/mask # erode to make the mask tight
echo "Check the final mask on FSLeyes"
# echo "Fsleyes to check the mask"
# fsleyes $sub_dir/dti_MD $sub_dir/mask -cm Yellow &
done
fi
# -----------------------------------------
# apply mask
# -----------------------------------------
if [ $task = apply_mask ] ; then
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running fslmaths to apply mask"
echo "///////////////////////////////////////////////////////////"
echo ""
fslmaths $sub_dir/nodif -mul $sub_dir/mask $sub_dir/t2_masked
fslmaths $sub_dir/dti_tensor -mul $sub_dir/mask $sub_dir/dti_masked
done
fi
# -----------------------------------------
# bias correction
# -----------------------------------------
if [ $task = bias_corr ] ; then
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running FAST bias correction"
echo "///////////////////////////////////////////////////////////"
echo ""
mkdir -p $sub_dir/tmp
fast -n 3 -I 5 -O 0 -B -o $sub_dir/tmp/t2 $sub_dir/t2_masked
mv $sub_dir/tmp/t2_restore* $sub_dir/
rm -r $sub_dir/tmp
done
fi
# -----------------------------------------
# normalise itensities
# -----------------------------------------
if [ $task = norm_int ] ; then
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running fslmaths image normalisation"
echo "///////////////////////////////////////////////////////////"
echo ""
fslmaths $sub_dir/t2_restore -inm 1000 $sub_dir/t2_norm
done
fi
# -----------------------------------------
# create initial target
# -----------------------------------------
if [ $task = init_targ ] ; then
# getting the first subject
subjList=($main_root/subs/*/)
ref_subject=${subjList[0]}
echo ""
echo "///////////////////////////////////////////////////////////"
echo "Here we choose a random subject as the initial template."
echo "Which one we choose is unimportant as we will unbias the"
echo "affine template."
echo "///////////////////////////////////////////////////////////"
echo ""
mkdir -p $main_root/templates
cp $ref_subject/t2_norm.nii.gz $main_root/templates/random_subject.nii.gz
fslmaths $main_root/templates/random_subject.nii.gz -mul 0 $main_root/templates/ref_space -odt float
fi
# -----------------------------------------
# affine register
# -----------------------------------------
if [ $task = aff_reg ] ; then
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running flirt affine registration"
echo "///////////////////////////////////////////////////////////"
echo ""
flirt -in $sub_dir/t2_norm -ref $main_root/templates/random_subject -out $sub_dir/t2_norm_aff_rand -omat $sub_dir/affine_to_random.mat
done
echo ""
echo "///////////////////////////////////////////////////////////"
echo "Finding mid-affine transformation"
echo "///////////////////////////////////////////////////////////"
echo ""
mkdir -p $main_root/mats
midtrans -o $main_root/mats/mid_trans.mat --template=$main_root/templates/random_subject `ls $main_root/subs/*/affine_to_random.mat`
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Unbiasing affine and warping t2 to mid-space"
echo "///////////////////////////////////////////////////////////"
echo ""
convert_xfm -omat $sub_dir/affine_to_random_unbiased.mat -concat $main_root/mats/mid_trans.mat $sub_dir/affine_to_random.mat
applywarp -i $sub_dir/t2_norm -o $sub_dir/t2_affine_to_mid -r $main_root/templates/ref_space --premat=$sub_dir/affine_to_random_unbiased.mat --interp=spline
done
echo ""
echo "///////////////////////////////////////////////////////////"
echo "Creating unbiased affine template."
echo "This can be manually straightened if necessary."
echo "Open templates/t2_affine_mid and use nudge tool"
echo "Save it as mats/straighten_affine_mid.mat"
echo "///////////////////////////////////////////////////////////"
echo ""
subjList=($main_root/subs/*/) # get the subject array
sLen=${#subjList[@]} # get the length
lastsubj=${subjList[$sLen-1]} # get the last subject
unset 'subjList[$sLen-1]' # remove last subject
# make the fslmaths command
command=""
for i in "${!subjList[@]}"; do
command+="${subjList[i]}/t2_affine_to_mid -add "
done
command+="$lastsubj/t2_affine_to_mid -div $sLen $main_root/templates/t2_affine_mid"
fslmaths $command
fi
# # -----------------------------------------
# # create template iteration 0
# # -----------------------------------------
if [ $task = create_temp_0 ] ; then
if [ -z $morf_dir ]; then echo "Error morf_dir not defined for task create_temp_0"; exit 1; fi
if [ ! -f $main_root/mats/straighten_affine_mid.mat ]; then
echo "WARNING: no mats/straighten_affine_mid.mat found so using an identity matrix"
echo "It is better to make a matrix to have a nice acpc space"
cp $main_root/mats/identity.mat $main_root/mats/straighten_affine_mid.mat
fi
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Combining affines"
convert_xfm -omat $sub_dir/affine.mat -concat $main_root/mats/straighten_affine_mid.mat $sub_dir/affine_to_random_unbiased.mat
echo "Running applywarp"
mkdir -p $sub_dir/iter_0
applywarp -i $sub_dir/t2_norm -o $sub_dir/iter_0/t2_warped -r $main_root/templates/ref_space --premat=$sub_dir/affine.mat --interp=spline
echo "Running vecreg"
vecreg -i $sub_dir/dti_masked -o $sub_dir/iter_0/dti_warped -r $main_root/templates/ref_space -t $sub_dir/affine.mat --interp=spline
echo ""
done
echo ""
echo "///////////////////////////////////////////////////////////"
echo "Running fslmaths to average t2 images"
subjList=($main_root/subs/*/) # get the subject array
sLen=${#subjList[@]} # get the length
lastsubj=${subjList[$sLen-1]} # get the last subject
unset 'subjList[$sLen-1]' # remove last subject
# make the fslmaths command
command=""
for i in "${!subjList[@]}"; do
command+="${subjList[i]}/iter_0/t2_warped -add "
done
command+="$lastsubj/iter_0/t2_warped -div $sLen $main_root/templates/t2_iter_0"
fslmaths $command
echo "Running tensor_average to average dti images"
# make the singularity command
subsList=$(find $main_root/subs/. -type d -mindepth 1 -maxdepth 1 -exec basename {} \;)
command_sing=""
for sub in $subsList; do
command_sing+="$main_root/subs/$sub/iter_0/dti_warped "
done
singularity exec --bind $morf_dir,$main_root $morf_dir/mmorf.sif tensor_average -i \
$command_sing \
-o $main_root/templates/dti_iter_0
echo "///////////////////////////////////////////////////////////"
echo ""
iter="1a"
echo "Now set iteration to $iter"
fi
# # -----------------------------------------
# # non linear register
# # -----------------------------------------
if [ $task = nonlin_reg ] ; then
if [ -z $morf_dir ]; then echo "Error morf_dir not defined for task create_temp_0"; exit 1; fi
if [ -z $iter ]; then
# check if files from previous iterations have been made
for it in ${iterations[@]}; do
for sub_dir in $main_root/subs/*/; do
if [ -f $sub_dir/iter_${it}/warp.nii.gz ] && [ -f $sub_dir/iter_${it}/jac.nii.gz ]; then
echo "files for iter $it found in $sub_dir"
continue
elif [ ! -f $sub_dir/iter_${it}/warp.nii.gz ]; then
echo "warp not found for iter $it in $sub_dir!"
iter_nb=$it
break 2
elif [ ! -f $sub_dir/iter_${it}/jac.nii.gz ]; then
echo "jac not found for iter $it in $sub_dir!"
iter_nb=$it
break 2
fi
done
done
elif [ ! -z $iter ]; then
iter_nb=$iter
fi
echo "doing $task at iteration $iter_nb"
if [ ! -f $main_root/config/iter_${iter_nb}.ini ]; then echo "Error no config file for task $task iter $iter_nb"; exit 1; fi
# Loop over subjects and run MMORF on each one
for sub_dir in $main_root/subs/*/; do
cd $sub_dir
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running mmorf"
mkdir -p iter_${iter_nb}
singularity run \
--nv \
--bind $morf_dir,$main_root \
$morf_dir/mmorf.sif --config $main_root/config/iter_${iter_nb}.ini
echo "///////////////////////////////////////////////////////////"
echo ""
cd $cwd
done
iter=$iter_nb
echo "Iteration is still $iter"
fi
# # -----------------------------------------
# # unbias warp
# # -----------------------------------------
if [ $task = unbias_warp ] ; then
if [ -z $iter ]; then
# check if files from previous iterations have been made
for it in ${iterations[@]}; do
for sub_dir in $main_root/subs/*/; do
if [ -f $sub_dir/iter_${it}/warp_combined.nii.gz ]; then
echo "file for iter $it found in $sub_dir"
continue
elif [ ! -f $sub_dir/iter_${it}/warp_combined.nii.gz ]; then
echo "warp not found for iter $it in $sub_dir!"
iter_nb=$it
break 2
fi
done
done
elif [ ! -z $iter ]; then
iter_nb=$iter
fi
echo "doing $task at iteration $iter_nb"
# Create average warp and invert it then unbias warps
echo ""
echo "///////////////////////////////////////////////////////////"
echo "Running fslmaths to average warps"
mkdir -p $main_root/warps
subjList=($main_root/subs/*/) # get the subject array
sLen=${#subjList[@]} # get the length
lastsubj=${subjList[$sLen-1]} # get the last subject
unset 'subjList[$sLen-1]' # remove last subject
# make the fslmaths command
command=""
for i in "${!subjList[@]}"; do
command+="${subjList[i]}/iter_${iter_nb}/warp -add "
done
command+="$lastsubj/iter_${iter_nb}/warp -div $sLen $main_root/warps/average_warp_iter_${iter_nb}"
fslmaths $command
echo "Running invwarp to invert average warp"
invwarp -w $main_root/warps/average_warp_iter_${iter_nb} -o $main_root/warps/inv_average_warp_iter_${iter_nb} -r $main_root/templates/ref_space -v
echo "///////////////////////////////////////////////////////////"
echo ""
for sub_dir in $main_root/subs/*/; do
echo ""
echo "///////////////////////////////////////////////////////////"
echo "In subject directory: $sub_dir"
echo "Running applywarp to resample biased warp"
applywarp -i $sub_dir/iter_${iter_nb}/warp -o $sub_dir/iter_${iter_nb}/warp_resampled -r $main_root/templates/ref_space -w $main_root/warps/inv_average_warp_iter_${iter_nb} --interp=spline
echo "Running fslmaths to create unbiased warp"
fslmaths $sub_dir/iter_${iter_nb}/warp_resampled -add $main_root/warps/inv_average_warp_iter_${iter_nb} $sub_dir/iter_${iter_nb}/warp_unbiased
echo "Running convertwarp to combine affine and nonlinear"
convertwarp --ref=$main_root/templates/ref_space --premat=$sub_dir/affine.mat --warp1=$sub_dir/iter_${iter_nb}/warp_unbiased --out=$sub_dir/iter_${iter_nb}/warp_combined
echo "///////////////////////////////////////////////////////////"
echo ""
done
iter=$iter_nb
echo "Iteration is still $iter"
fi
# # -----------------------------------------
# # create template
# # -----------------------------------------
if [ $task = create_temp ] ; then
if [ -z $morf_dir ]; then echo "Error morf_dir not defined for task create_temp_0"; exit 1; fi
if [ -z $iter ]; then
# check if files from previous iterations have been made
for i in ${!iterations[@]}; do
it=${iterations[$i]}
if [ -f $main_root/templates/t2_iter_${it}.nii.gz ] && [ -f $main_root/templates/t2_iter_${it}.nii.gz ]; then
echo "files for iter $it found"
continue
elif [ ! -f $main_root/templates/t2_iter_${it}.nii.gz ]; then
echo "t2 not found for iter $it in templates!"
iter_nb=$it
j=$i
break 1
elif [ ! -f $main_root/templates/dti_iter_${it}.nii.gz ]; then
echo "dti not found for iter $it in templates!"