Clinica can be installed on Mac OS X and Linux (CentOS or Debian/Ubuntu) machines, and possibly on Windows computers with a Linux Virtual Machine. We assume that users installing and using Clinica are comfortable with using the command line.
Clinica on GitHub!
Clinica has moved to GitHub, you can find the repo here.
- Anatomical MRI (T1-weighted)
- Diffusion MRI (DWI)
dwi-preprocessing-*- DWI pre-processing: correction of head motion, magnetic susceptibility, eddy current and bias field induced distortions
dwi-dti- DTI scalar maps (FA, MD, AD, RD) and spatial normalization: extraction of DTI-based measures (FA, MD, AD, RD)
- Functional MRI (fMRI)
fmri-preprocessing- fMRI pre-processing: slice timing and motion correction, brain extraction, and spatial normalization
statistics-surface- Surface-based mass-univariate analysis with SurfStat
- Machine Learning
Dataset converters (
I/O tools (
Visualize pipeline outputs (
Clinica allows visualization of the main outputs of some pipelines. Currently only supported for the
Clinica at conferences¶
Find on this page the presentations and demo materials used when we showcase Clinica.
Clinica is distributed under the terms of the MIT license given here.
For publications or communications using Clinica, please include the following text:
Analyses were performed using the Clinica software platform (www.clinica.run) developed by the ARAMIS Lab (www.aramislab.fr).
Each pipeline's page includes text to cite the software packages that are used by Clinica. Use them depending on the specific pipelines that you used (for example, citing SPM when using the
Clinica is a software for research studies. It is not intended for use in medical routine