All downloadable data sets and toolboxes are distributed under the Creative Commons Attribution-NonCommercial 3.0 Unported License, meaning that it can be freely used for non-commercial purposes., as long as proper attribution in form of acknowledgments and links (for online use) or citations (in publications) are given. The relevant references are:
SUIT normalisation and template
- Diedrichsen, J. (2006). A spatially unbiased atlas template of the human cerebellum. Neuroimage. 33(1), 127-138.
Probabilistic atlas for cerebellar lobules
- Diedrichsen, J., Balsters, J. H., Flavell, J., Cussans, E., & Ramnani, N. (2009). A probabilistic atlas of the human cerebellum. Neuroimage.46(1), 39-46.
Probabilistic atlas and normalisation for deep cerebellar nuclei
- Diedrichsen, J., Maderwald, S., Kuper, M., Thurling, M., Rabe, K., Gizewski, E. R., et al. (2011). Imaging the deep cerebellar nuclei: A probabilistic atlas and normalization procedure. Neuroimage. 54(3), 1786-1794.
Surface-based representation and flatmap
SUIT-N: Neonatal template, isolation and normalization
- Hernandez-Castillo, CR., Limperopoulos, C., & Diedrichsen, J. (2019). A representative template of the neonatal cerebellum. Neuroimage. 184, 450-454.
Matab toolbox: Download and Installation
The newest release is available on github. The suit-toolbox requires Matlab (Version 6.5 and higher) and SPM. The newest version requires SPM12, but the old functions are still available for backward compatibility in the installation pack. A full standalone version for the suit-toolbox is currently not planned. Usage of the isolation or functions, however, does not require that the analysis is conducted under SPM.
- Unzip the archive and place the SUIT folder in the
- Start Matlab and SPM12. Select fMRI. SUIT should now be present as a option under the toolbox drop down menu.
- The template images can be found in
<SPM_HOME>/toolbox/SUIT/templates. If you like, create a copy of these templates at a more accessible place.
Python toolbox: Download and Installation
The newest release of a Python package of some SUIT functionality is now available on github. The package currently only supports functionality of mapping to the flatmap and to display of the flatmap.
- Unzip the archive (or clone directly) and place it in a good location
- Adjust your environmental variable
$PYTHONPATHto include the folder that contains the SUITPy package. You can do this by adding the line
- ensure that you have the following 3 dependencies installled (these can be installed via pip or conda):
- In python you can then import the package with
import SUITPy as suit
A collection of cerellar atlases in SUIT and MNI space, as well as surface-based maps are available on github. These include the probabistic cerebellar atlas for lobules and deep cerebellar nuclei, the functional maps from the multi-domain task battery (King et al. 2019), and resting state atlases. For more information, see the Atlas Package website. The entire atlas package can also be explored using our online atlas viewer.