Talairach Software
The Talairach software, generally known as the Talairach Daemon, was created and developed by Jack Lancaster and Peter Fox at the Research Imaging Institute of the University of Texas Health Science Center San Antonio (UTHSCSA).
This software has been expanded to include three components:
- Talairach Client: a Java application for finding individual and batch labels as well as command-line tools for accessing the daemon.
WARNING: Mac and PC versions are no longer able to run on current operating systems. Jar can still be used with the command line. - Talairach Applet: a web application for the daemon which includes graphical overlays and nearest gray matter searches.
WARNING: Applet is no longer able to run on current browsers. - Talairach Daemon: a high-speed database server for querying and retrieving data about human brain structure over the internet.
Our image viewing and analysis app, Mango, includes the Talairach label data as well. Open an image with Open -> Open Sample Image. Choose an atlas under the "World Space" settings. Press Escape key to "Go To Coorindate" and see the label in the toolbox.
Talairach Label Data
Talairach.nii is a NIfTI image that contains the Talairach label data, which are stored as text in the extension section of the image. The value of each voxel should be interpreted as an index into the list of labels. A list segregated by each level of the hierarchy can be seen here.
Talairach References
If you have used the Talairach client, applet, or daemon in your research, please cite the following papers in your references:
Lancaster JL, Woldorff MG, Parsons LM, Liotti M, Freitas CS, Rainey L, Kochunov PV, Nickerson D, Mikiten SA, Fox PT, "Automated Talairach Atlas labels for functional brain mapping". Human Brain Mapping 10:120-131, 2000. [pdf] [PubMed]
Lancaster JL, Rainey LH, Summerlin JL, Freitas CS, Fox PT, Evans AC, Toga AW, Mazziotta JC. Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward-transform method. Hum Brain Mapp 5, 238-242, 1997. [pdf]
