| NIMH Scientific and Statistical Computing Core|
Neuroimaging data analysis
Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human brain activity.
AFNI is an agglomeration of programs that can be used interactively or flexibly assembled for batch processing using shell script. The term AFNI refers both to the entire suite and to a particular interactive program often used for visualization. AFNI is actively developed by the NIMH Scientific and Statistical Computing Core and its capabilities are continually expanding.
AFNI runs under many Unix-like operating systems that provide X11 and Motif libraries, including IRIX, Solaris, Linux, FreeBSD and OS X. Precompiled binaries are available for some platforms. AFNI is available for research use under the GNU General Public License. AFNI now comprises over 300,000 lines of C source code, and a skilled C programmer can add interactive and batch functions to AFNI with relative ease.
Analysis of Functional NeuroImages Wikipedia
AFNI was originally developed at the Medical College of Wisconsin beginning in 1994, largely by Robert W. Cox. Robert Cox brought development to the NIH in 2001 and development continues at the NIMH Scientific and Statistical Computing Core.