https://github.com/afni/apaper_rtms_fmri_stroop
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: afni
- Language: Shell
- Default Branch: main
- Size: 7.81 KB
Statistics
- Stars: 0
- Watchers: 10
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
apaperrtmsfmri_stroop
This repository provides scripts and code used in the following paper, which combines task-based fMRI (Stroop task) with rTMS modulation:
- Beynel L, Gura H, Rezaee Z, Ekpo EC, Deng ZD, Joseph JO, Taylor P, Luber B, Lisanby SH (2024). Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task. PLoS One. 19(5):e0302660. doi: 10.1371/journal.pone.0302660.
The MRI dataset processing here primarily uses AFNI (Cox, 1996).
The scripts/ directory contains the set of processing scripts used here.
scripts/
do_12*.bash: perform skullstripping and nonlinear warping of the T1w anatomical to template space (using AFNI's @SSwarper)
do20*.bash: create an FMRI pipeline script and execute it (using AFNI's afniproc.py)
do_30*.bash: create an inverse warp from the standard template to each individual subject's T1w anatomical
do31*.bash: create an inverse warp from the standard template to each individual subject's T1w anatomical (an alternative approach to do30*bash).
Owner
- Name: afni
- Login: afni
- Kind: organization
- Repositories: 9
- Profile: https://github.com/afni