To ensure acquired MRI data is properly organized and preprocessed for publication and data sharing, I have utilized a number of software packages and containers, including FMRIPrep, ASLPrep, and in-house pipelines.
Some Scripts I Wrote
Bash Scripts for preparing input data and running ASLPrep:
What it does: Manage data with DataLad and submit Slurm jobs to run ASLPrep container.
Repository: https://github.com/TIGRLab/asl-preprocessing
Python script for parsing Nback task file:
What it does: Convert e-Prime text file to tsv spreadsheets for analysis.
File: https://github.com/TIGRLab/datman/blob/main/bin/dm_parse_Nback_abcd.py
Python script for generating MRI pictures:
What it does: Creates axial pictures using T1 images for custom T-shirt.
File: https://github.com/TIGRLab/datman/blob/main/bin/dm_mripicture.py