Overview
AFNI (Analysis of Functional NeuroImages) is a powerful, open-source software suite designed for the analysis and visualization of neuroimaging data. Developed primarily in C, Python, and R, it supports multiple MRI modalities, including anatomical, functional MRI (fMRI), and diffusion-weighted (DW) data. The software is built to run on Unix-based systems with X11 and Motif displays, with precompiled binaries available for MacOS and Linux distributions like Fedora, CentOS/Red Hat, and Ubuntu (including Windows Subsystem for Linux). AFNI incorporates advanced data analysis techniques, including inter-subject correlation group analysis, atlas and template support, and cortical surface-based functional imaging analysis via the SUMA program. SUMA allows real-time rendering of functional imaging data in Slice, Graph, Volume, and Surface modes, with direct links between them, and supports tractographic reconstructions from DTI models. AFNI integrates with the NIfTI standard for neuroimaging data exchange, promoting interoperability.