AFNI (Analysis of Functional NeuroImages) is a suite of programs designed to analyze fMRI data. Created in the mid-1990's by Bob Cox, AFNI is now used by hundreds of imaging labs around the world.
The following tutorials will show you how to analyze a sample dataset with AFNI. You will begin by learning the fundamentals of fMRI preprocessing, and then proceed to create a model of your data with AFNI's 3dDeconvolve command. We will finish by learning about different types of group analyses, and how to do region of interest (ROI) analyses.
AFNI_Short_Course/AFNI_fMRI_Intro AFNI_Short_Course/AFNI_01_DataDownload AFNI_Short_Course/AFNI_02_ExperimentalDesign AFNI_Short_Course/AFNI_03_LookingAtTheData AFNI_Short_Course/AFNI_04_Preprocessing AFNI_Short_Course/AFNI_05_1stLevelAnalysis AFNI_Short_Course/AFNI_06_Scripting AFNI_Short_Course/AFNI_07_GroupAnalysis AFNI_Short_Course/AFNI_08_ROIAnalysis AFNI_Short_Course/AFNI_09_SurfaceAnalysis AFNI_Short_Course/AFNI_10_Summary AFNI_Short_Course/AppendixA_ParametricModulation AFNI_Short_Course/AppendixB_AnimalAnalysis AFNI_Short_Course/AppendixC_HighlightingResults AFNI_Short_Course/AppendixD_EffectSizes