AFNI (Analysis of Functional NeuroImages) is a package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. The software can color overlay neural activation maps onto higher resolution anatomical scans. Slices in each cardinal plane can be viewed simultaneously. Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. Facilities are provided for several types of statistical analyses of multiple 3D functional data sets. The programs are written in ANSI C and Motif 1.2 to run on Unix workstations.
AFNI a leading software suite of C, Python, R programs and shell scripts primarily developed for the analysis and display of anatomical and functional MRI (FMRI) data. It is freely available (both in source code and in precompiled binaries) for research purposes. The software is made to run on virtually an Unix system with X11 and Motif displays. Binary Packages are provided for MacOS and Linux systems including Fedora, Ubuntu (including Ubuntu under the Windows Subsytem for Linux)
Chen G, Shin YW, Taylor PA, et al. Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level [published correction appears in Neuroimage. 2017 Jan 15;145(Pt A):130-132]. Neuroimage. 2016;142:248-259.
Chen G, Taylor PA, Shin YW, Reynolds RC, Cox RW. Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling. Neuroimage. 2017;147:825-840. doi:10.1016/j.neuroimage.2016.08.029
1NIMH, Bethesda Maryland, USA