Skip to content

Code used for formatting/organizing/processing fMRI data in the Attention-Bias-Modification-R33-Clinical-Trial

Notifications You must be signed in to change notification settings

UTCogNeuroLab/Attention-Bias-Modification-R33-Clinical-Trial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Attention-Bias-Modification-R33-Clinical-Trial

Convert Raw MRI data into BIDS format using BIDS_Conversion_R33.sh

"BIDS_conversion_R33.sh" should be put in the usr/local/bin Run BIDS_conversion_R33.sh from the terminal. The script uses pydeface.py, fieldmap_intendedfor.py, and BIDS_create_scan_tsv.py. These should also be in the usr/local/bin

NDA data upload scripts:

Run BIDS ap MRIQC

Run BIDS ap fMRIprep

XCP engine was used to regress out motion confounds and scrub TRs with more than 0.25mm framewise discplacement, and create functional connectivity matrices (correlation) AAL, Glasser, Gordon, Harvord Oxford, Power, Schaefer altases. task approx 30 mines per subject (3 sessions) on TACC.

xcp.dms is the job file for using XCP engine on TACC, the actual design file is fc-6p_scrub.dsn

About

Code used for formatting/organizing/processing fMRI data in the Attention-Bias-Modification-R33-Clinical-Trial

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published