11. Tutorials, Examples¶
- 11.1. Self Guided Demo Scripts
- 11.2. AFNI GUI features
- 11.3. AFNI general behavior
- 11.4. APQC: afni_proc.py quality control
- 11.5. FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
- 11.5.1. Background and additional software
- 11.5.2. General fat_proc script properties
- 11.5.3. Pre-preproc, I: convert and niceify
- 11.5.4. Pre-preproc, II: examine and filter
- 11.5.5. Preproc: FreeSurfer (+ @SUMA_Make_Spec_FS)
- 11.5.6. Preproc: TORTOISE
- 11.5.7. Post-preproc, I: tensor estimation and checking
- 11.5.8. Post-preproc, II: mapping ROIs to DTI space
- 11.5.9. Post-preproc, III: ROI map preparation
- 11.5.10. Post-preproc, IV: Tracking
- 11.6. FATCAT Visualization
- 11.7. Walnut Brain
- 11.8. Drawing ROIs
- 11.9. Cluster Explorer
- 11.10. FATCAT Matrix Plot
- 11.11. 3dMVM Validator
- 11.12. Automatic Images
- 11.13. Sound features in AFNI
- 11.14. Working with ROIs
- 11.15. Using FreeSurfer
- 11.16. Reface and Deface datasets
- 11.17. SurfLayers Demo
- 11.18. Meta analysis examples