Measuring cortical thickness in the primary visual cortex (V1), focusing on the pericalcarine
region, using Freesurfer.
- Ensure Freesurfer is installed and properly configured on your system.
- Have the subject’s T1-weighted MRI scan available for processing.
Open a terminal and set the SUBJECTS_DIR
environment variable to point to the directory where Freesurfer will store processing outputs. Replace /path/to/your/freesurfer_subjects_directory
with the actual path to your subjects directory.
export SUBJECTS_DIR=/path/to/your/freesurfer_subjects_directory
Navigate to the directory containing the T1-weighted MRI. Start Freesurfer's processing pipeline using recon-all
. Replace subjid
with your subject's unique identifier, and /path/to/T1.nii
with the actual path to the T1-weighted MRI file.
recon-all -s subjid -i /path/to/T1.nii -all
This will take several hours to complete!!!!!!!!!!!! maybe try FastSurfer if you are impatient!
Once recon-all
has finished, use freeview
to visually inspect the cortical parcellations, including the pericalcarine
area.
freeview -v $SUBJECTS_DIR/subjid/mri/T1.mgz \
-f $SUBJECTS_DIR/subjid/surf/lh.pial:annot=aparc.annot \
-f $SUBJECTS_DIR/subjid/surf/rh.pial:annot=aparc.annot
Explore the parcellations to familiarise yourself with the anatomical structures.
For the pericalcarine
region, use mris_anatomical_stats
to extract cortical thickness measurements. Perform this for both hemispheres:
Right hemisphere command:
mris_anatomical_stats -b -f $SUBJECTS_DIR/subjid/stats/rh.aparc.stats subjid rh
Repeat for the left/right hemisphere by replacing rh
with lh
.
Open the rh.aparc.stats
and lh.aparc.stats
files located in $SUBJECTS_DIR/subjid/stats
to find detailed measurements. Search for the Pericalcarine
entry for cortical thickness metrics.
The Pericalcarine
entry provides average cortical thickness, surface area, volume, and other metrics for the primary visual cortex region (not actually, but as a practice assume this is the case). Use these measurements for comparisons or correlations.