afni

toolkit for analyzing and visualizing functional MRI data


AFNI is an environment for processing and displaying functional MRI data. It provides a complete analysis toolchain, including 3D cortical surface models, and mapping of volumetric data (SUMA).

In addition to its own format, AFNI understands the NIfTI format and is therefore integrates easily with FSL and FreeSurfer.

Related packages: afni-common, afni-dbg, afni-dev


Additional information
  • Robert W. Cox (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research, 29, 162-73.. URL DOI PubMed

Maintainer information

This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

Maintainer avatar
NeuroDebian Maintainers
Maintainer avatar
Michael Hanke
Maintainer avatar
Yaroslav Halchenko
Maintainer avatar
Alex Waite

In order to get support, or to get in touch with a maintainer, please click the ‘Help’ button at the top of the page.

Advanced user information

Version control system available: Browse sources

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze)   0.20141224~dfsg.1-1~nd60+1 i386, amd64
Debian GNU/Linux 7.0 (wheezy)   0.20141224~dfsg.1-1~nd70+1 i386, amd64
Debian GNU/Linux 8.0 (jessie)   0.20141224~dfsg.1-1~nd80+1 i386, amd64
Debian testing (stretch)   0.20141224~dfsg.1-1~nd80+1+nd90+1 i386, amd64
Debian unstable (sid)   0.20141224~dfsg.1-1~nd+1 i386, amd64
Ubuntu 10.04 LTS “Lucid Lynx” (lucid)   0.20110610~dfsg.1-1~nd10.04+1 i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise)   0.20141224~dfsg.1-1~nd12.04+1 i386, amd64
Ubuntu 14.04 “Trusty Tahr” (trusty)   0.20141224~dfsg.1-1~nd14.04+1 i386, amd64
Ubuntu 14.10 “Utopic Unicorn” (utopic)   0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1 i386, amd64
Ubuntu 15.04 “Vivid Vervet” (vivid)   0.20141224~dfsg.1-1~nd14.04+1+nd14.10+1+nd15.04+1 i386, amd64
The source code for this portal is licensed under the GPL-3 and is available on GitHub.