12. Tutorials, Examples¶
- 12.1. Self Guided Demo Scripts
- 12.2. AFNI GUI features
- 12.3. AFNI general behavior
- 12.4. APQC: afni_proc.py quality control
- 12.5. FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
- 12.5.1. Background and additional software
- 12.5.2. General fat_proc script properties
- 12.5.3. Pre-preproc, I: convert and niceify
- 12.5.4. Pre-preproc, II: examine and filter
- 12.5.5. Preproc: FreeSurfer (+ @SUMA_Make_Spec_FS)
- 12.5.6. Preproc: TORTOISE
- 12.5.7. Post-preproc, I: tensor estimation and checking
- 12.5.8. Post-preproc, II: mapping ROIs to DTI space
- 12.5.9. Post-preproc, III: ROI map preparation
- 12.5.10. Post-preproc, IV: Tracking
- 12.6. FATCAT Visualization
- 12.7. Walnut Brain
- 12.8. Drawing ROIs
- 12.9. Cluster Explorer
- 12.10. FATCAT Matrix Plot
- 12.11. 3dMVM Validator
- 12.12. Automatic Images
- 12.13. Sound features in AFNI
- 12.14. Working with ROIs
- 12.15. Using FreeSurfer
- 12.16. Reface and Deface datasets
- 12.17. SurfLayers Demo
- 12.18. Meta analysis examples