10. Tutorials, Examples

• 10.1. Self Guided Demo Scripts
  • 10.1.1. @DriveSuma
  • 10.1.2. @DriveAfni
  • 10.1.3. @DO.examples
• 10.2. APQC: afni_proc.py quality control
  • 10.2.1. Overview for APQC
  • 10.2.2. APQC-HTML navigation: example
  • 10.2.3. Browsing APQC outputs
• 10.3. FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
  • 10.3.1. Background and additional software
  • 10.3.2. General fat_proc script properties
  • 10.3.3. Pre-preproc, I: convert and niceify
  • 10.3.4. Pre-preproc, II: examine and filter
  • 10.3.5. Preproc: FreeSurfer (+ @SUMA_Make_Spec_FS)
  • 10.3.6. Preproc: TORTOISE
  • 10.3.7. Post-preproc, I: tensor estimation and checking
  • 10.3.8. Post-preproc, II: mapping ROIs to DTI space
  • 10.3.9. Post-preproc, III: ROI map preparation
  • 10.3.10. Post-preproc, IV: Tracking
• 10.4. FATCAT Visualization
  • 10.4.1. Do_06_VISdti_SUMA_visual_ex1.tcsh
  • 10.4.2. Do_09_VISdti_SUMA_visual_ex2.tcsh
  • 10.4.3. Do_09_VISdti_SUMA_visual_ex3.tcsh
  • 10.4.4. Connectoming
• 10.5. Walnut Brain
  • 10.5.1. Prying Brains Apart
• 10.6. Drawing ROIs
  • 10.6.1. Demo:
• 10.7. Cluster Explorer
  • 10.7.1. Introducing Cluster Explorer
  • 10.7.2. Scripts
• 10.8. FATCAT Matrix Plot
  • 10.8.1. FATCAT_matplot
• 10.9. 3dMVM Validator
  • 10.9.1. Overview.
  • 10.9.2. Walking in your footsteps.
  • 10.9.3. Positive Role Model.
  • 10.9.4. Tab’s on me if you think I’m lyin’.
  • 10.9.5. General Linear Tests.
  • 10.9.6. More coming soon
• 10.10. Automatic Images
  • 10.10.1. Overview
  • 10.10.2. Using @chauffeur_afni
  • 10.10.3. Using @snapshot_volreg
  • 10.10.4. Using @djunct_4d_imager
  • 10.10.5. Using 2dcat
• 10.11. Sound features in AFNI
  • 10.11.1. Overview
  • 10.11.2. Keypresses, formats and functionality
  • 10.11.3. Example
• 10.12. Working with ROIs
  • 10.12.1. Combine ROI masks, visualize and make corr matrices
  • 10.12.2. Manifold ways to make+view spheres in SUMA
  • 10.12.3. Examples of things with ROIs: resampling and clusterizing
• 10.13. Using FreeSurfer
  • 10.13.1. How to use FS recon-all with AFNI
• 10.14. Reface and Deface datasets
  • 10.14.1. Using @afni_refacer_run