https://github.com/afni/apaper_apqc_etal
These scripts were used to process the dataset used to demo quality control (QC) tools in AFNI (Taylor et al., 2024).
Science Score: 13.0%
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Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago
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These scripts were used to process the dataset used to demo quality control (QC) tools in AFNI (Taylor et al., 2024).
Basic Info
- Host: GitHub
- Owner: afni
- Language: Shell
- Default Branch: main
- Size: 3.91 KB
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- Stars: 0
- Watchers: 11
- Forks: 0
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Created over 2 years ago
· Last pushed over 2 years ago
https://github.com/afni/apaper_apqc_etal/blob/main/
# apaper_apqc_etal
These scripts were used to process the dataset used to demo quality
control (QC) tools in AFNI (Taylor et al., 2024).
For more details, please see:
* Taylor PA, Glen DR, Chen G, Cox RW, Hanayik T, Rorden C, Nielson DM,
Rajendra JK, Reynolds RC (2024). A Set of FMRI Quality Control Tools
in AFNI: Systematic, in-depth and interactive QC with afni_proc.py
and more. (submitted) bioRxiv doi: 10.1101/2024.03.27.586976.
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The primary processing is contained in the scripts/ directory:
do_13_ssw.tcsh : run sswarper2 to perform skullstripping (ss) and
nonlinear alignment (warping) to a template
do_20_ap.tcsh : run afni_proc.py to perform full single subject
processing on task-based FMRI data
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The dataset accompanying these scripts and the reference draft is
located for public download here: https://osf.io/un56d/ .
This dataset is actually the same subject used in the standard AFNI
Bootcamp courses (AFNI_data6/FT_analysis/FT).
Owner
- Name: afni
- Login: afni
- Kind: organization
- Repositories: 9
- Profile: https://github.com/afni