Note: this is a companion page to the FsFastFunctionalConnectivityWalkthrough page.

This page will outline how to split a full FreeSurfer aparc annotation into multiple seeds to use a portion of the full Freesurfer parcellation ("split parcellation") as your seed region.

*STEP 1: create a text file with the name of the full parcellation of interest and the number of seeds. Possible structures can be found here: $FREESURFER_HOME/average/colortable_desikan_killiany.txt

• NOTE: The method I've show below divides the parcellation, orthogonally along its long axis.
  • There is also a method of using mris_divide_parcellation that specifies a unit of area for each seed.

*STEP 2: use mris_divide_parcellation. This command will generate a new parcellation including your split ROI, as well as all original parcellations outside your chosen region.

• set splitN = 3 #this is the number of divisions to make.

  echo "isthmuscingulate 3" > seed.isthmuscingulate.3.txt .

  set splitstem = <hemi>.isthmuscingulate.3.split 3name for divided surface annotation.

  mris_divide_parcellation <recondir> <hemi> aparc.annot seed.isthmuscingulate.3.txt ${hemi}.${splitN}split

*STEP 3: use mri_annotation2label to create labels from the new annotation. This will create a label for each parcellation (including labels for regions outside of your desired seed region). The labels will be deposited in the subject's recondir/label directory.

• mri_annotation2label --subject <recondir> \

  • --hemi <hemi> --labelbase <hemi>.isthmuscingulate.3 --annotation 3split --surface pial

To remove the excess labels, I've used this method:

@ splitN2 = $splitN + 1 <-this number will be helpful when removing excess labels

set rmextra = find $SUBJECTS_DIR/<recondir>/label -maxdepth 1 -type f | grep <hemi>.isthmuscingulate.3 |  sort -nr | sed -n ${splitN2},500p

• #the above command lists all files in the label dir, greps for our label name, #sorts numerically in reverse, then grabs all labels after the first 3

echo " REMOVING excess labels "

rm -v $rmextra

set lbls =  find $ldir -maxdepth 1 -type f | grep <hemi>.isthmuscingulate.3 | sort -nr  #grabs our seed labels

*STEP 4: check that you've grabbed the correct seed labels by loading them in tksurfer

*STEP 5: Use mri_label2vol on each of the split seed labels to obtain a segmentation volume for each.

Edit conflict - other version:

• mri_label2vol --label <label> --temp $SUBJECTS_DIR/<recondir>/mri/brainmask.nii.gz --proj frac 0 1 .1 --subject <recondir> --hemi <hemi> --regheader $SUBJECTS_DIR/<recondir>/mri/brainmask.nii.gz --o <outsegname>

Edit conflict - your version:

• mri_label2vol --label <label> --temp $SUBJECTS_DIR/<recondir>/mri/brainmask.nii.gz --proj frac 0 1 .1 --subject <recondir> --hemi <hemi> --regheader $SUBJECTS_DIR/<recondir>/mri/brainmask.nii.gz --o <outsegname>

End of edit conflict

*STEP 6: Use fcseed-config to record the parameters you wish to pass to your connectivity analysis.

Sample command for running the mean time course and using the first (1) of the 3 seed split:

Edit conflict - other version:

• set type = mean # For seed regions, we recommend generating the mean signal timecourse by using "-mean"

Edit conflict - your version:

• set type = mean # For seed regions, we recommend generating the mean signal timecourse by using "-mean"

End of edit conflict

• set segname = <hemi>.isthmuscingulate.split3.1

  fcseed-sess -s <subject> -segid 1 -o ${type}.${segname}.dat -seg <outsegname> -fsd bold -${type} -cfg {type}.${segname}.config

Now resume with step 5 on this page...