Time Series Data in Surface Space
We can calculate mean time course vectors calculated across all voxels within regions defined in a FreeSurfer annotation (.annot) file. Though any annotation file can be used for this purpose, we have been working at the scale of the 1000 region Lausanne parcellation. A script exists, gettimecourses.sh
, that will handle this:
gettimecourses.sh
#!/bin/bash USAGE="Usage: gettimecourses.sh annot filepattern sub1 ... subN" if [ "$#" == "0" ]; then echo "$USAGE" exit 1 fi #first two parameters are is the annot files and filepatterns for the \ #.nii.gz time series to be detrended, up to the hemisphere indicator #e.g., detrend.fmcpr.sm6.self.?h.nii.gz would use detrend.fmcpr.sm6.self as the filepattern annot="$1" shift filepat="$1" shift #subjects subs=( "$@" ); #hemispheres hemis=( lh rh ) for sub in "${subs[@]}"; do source_dir=${SUBJECTS_DIR}/${sub}/bold if [ ! -d ${source_dir} ]; then #The subject_id does not exist echo "${source_dir} does not exist!" else cd ${source_dir} readarray -t runs < runs for hemi in "${hemis[@]}"; do for r in "${runs[@]}"; do mri_segstats \ --annot ${sub} ${hemi} ${annot} \ --i ${source_dir}/${r}/${filepat}.${hemi}.mgh \ --sum ${sub}_${hemi}_${annot}_${r}.${filepat}.sum.txt \ --avgwf ${sub}_${hemi}_${annot}_${r}.${filepat}.wav.txt done done fi done
Running the Script
A precondition of this script is that the data have been detrended following the procedure for detrending FreeSurfer data. A second precondition is that there should be a file called 'runs' in the bold/ directory. If you have followed the instructions for detrending your data, such a file should already exist.
The script is run in a terminal by specifying the name of an annot file that can be found in the $SUBJECT_ID/label/ directory, a file pattern, followed by a list of subject IDs:
gettimecourses.sh lausanne fmcpr.sm6.self FS_T1_501
This script produces a series of output files in each subject's bold/ directory. The time series files are named ${sub}_?h_${annot}_${run}.${filepattern}.wav.txt
Decoding the Regions
The time series output files are plain text files with rows=time points and columns=regions. In the case of the Lausanne 2008 parcellation, there are approximately 500 columns per file. Interpreting these data will require some sort of reference for the identity of each column.
The FreeSurfer command mris_anatomical_stats uses an .annot file to query properties of a surface. The output of this program can be used to determine the identities of each region, as they are queried in the same order as they appear in the .annot file:
mris_anatomical_stats -a FS_T1_501/label/lh.lausanne.annot -f left.txt -c leftclutfile.clut FS_T1_501 lh
This above bit is clunky. There's probably a better way.