Welcome to AFNI’s documentation!

• 1. Installation and Background
  • 1.1. Install AFNI on Your Own Computer
  • 1.2. Install AFNI on Administered Systems
  • 1.3. Work with Docker/Containerized AFNI
  • 1.4. Download other/specific AFNI/SUMA software
  • Unix Tutorial
  • 1.5. Prep for Bootcamp
  • 1.6. Miniconda: Python(s) in a convenient setup
• 2. Starting with AFNI
  • 2.1. Overview
  • 2.2. Where to begin
  • 2.3. Asking questions and following updates
• 3. Educational resources
  • 3.1. AFNI Bootcamp Recordings
  • 3.2. AFNI Bootcamp handouts
  • 3.3. (Useful) Outside lectures
  • 3.4. List of all AFNI GUI tips and keyboard shortcuts
  • 3.5. List of all AFNI environment variables
  • 3.6. List of all startup tips
  • 3.7. List of all AFNI colorbars
  • 3.8. Classified program list
  • 3.9. Shell script and command line tips
• 4. All program helps
  • 4.1. Links to program help files
  • 4.2. Links to program manuals
• 5. AFNI Codex: Code Examples from publications
  • 5.1. Overview
  • 5.2. FMRI Codex
• 6. SUMA
  • 6.1. Intro
  • 6.2. SUMA Viewer
  • 6.3. SUMA Controllers
  • 6.4. SUMA Clipping Planes
  • 6.5. Standard Meshes For Group-Level Analysis
  • 6.6. SUMA Programming Notes
• 7. FATCAT
  • 7.1. FATCAT Commands
  • 7.2. 1dDW_Grad_o_Mat++: dealing with DW gradients
  • 7.3. @GradFlipTest: checking on gradient flips
  • 7.4. 3dROIMaker: making (networks of) ROIs
  • 7.5. 3dTrackID: making tracts
• 8. Statistics
  • 8.1. Gang’s Stats Blog
  • 8.2. When and how to center a variable?
  • 8.3. How to get the degrees of freedom (DF) in an AFNI file?
  • 8.4. Deconvolution Analysis of FMRI Time Series Data
  • 8.5. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
  • 8.6. Notes on 3dREMLfit
  • 8.7. Analysis of Variance (ANOVA)
  • 8.8. Multivariate modeling (MVM) approach for group analysis
  • 8.9. Linear Mixed-Effects (LME) Modeling
  • 8.10. Mixed-Effects Meta Analysis (MEMA)
  • 8.11. False Discovery Rate (FDR)
  • 8.12. Nonparametric Statistical Analysis of FMRI Data
• 9. Templates & Atlases
  • 9.1. AFNI Atlases
  • 9.2. How to make an atlas for yourself
  • 9.3. @SSwarper base volumes
  • 9.4. India Brain Template (IBT)
  • 9.5. Other templates and atlases
• 10. Non-human processing
  • 10.1. Macaque Templates and Atlases
  • 10.2. Macaque Demos
  • 10.3. Other templates and atlases
• 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
  • 11.6. 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
• 12. Demo Material
  • 12.1. Bootcamp Material
  • 12.2. FATCAT Demo Install
  • 12.3. Demo Data
  • 12.4. Template Surfaces
• 13. Developer Documentation
  • 13.1. Make a pull request to the afni repository
  • 13.2. Elementary OpenMP in AFNI
  • 13.3. Running tests
  • 13.4. Cmake for AFNI - making AFNI is a piece of C(m)ake
  • 13.5. Sphinx Documentation
  • 13.6. Contribute Your Own Docs
  • 13.7. How to Format Help Strings
• 14. References, papers and citations
  • 14.1. Citations and references
• 15. Contributors
  • 15.1. Thanks
• 16. Glossary
• 17. Main AFNI pages

Indices and tables

• Index

• Module Index

• Search Page