Welcome to AFNI’s documentation!¶
- 1. Installation and Background
- 2. Starting with AFNI
- 3. Educational resources
- 4. All program helps
- 5. AFNI (and afni)
- 6. SUMA
- 7. FATCAT
- 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. Duration modulation (DM) blocks (3dDeconvolve)
- 8.6. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
- 8.7. Notes on 3dREMLfit
- 8.8. Analysis of Variance (ANOVA)
- 8.9. Multivariate modeling (MVM) approach for group analysis
- 8.10. Linear Mixed-Effects (LME) Modeling
- 8.11. Mixed-Effects Meta Analysis (MEMA)
- 8.12. False Discovery Rate (FDR)
- 8.13. Nonparametric Statistical Analysis of FMRI Data
- 9. Templates & Atlases
- 10. Non-human processing
- 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
- 13. Codex: AFNI Code Examples from publications
- 14. Citing
- 15. Developer Documentation
- 16. Contributors
- 17. Glossary
- 18. Main AFNI pages