posce is a functional connectivity estimator from rfMRI timeseries. It relies on the Riemannian geometry of covariances and integrates prior knowledge of covariance distribution over a population.
This is an implementation of the work introduced in :
M. Rahim, B. Thirion and G. Varoquaux. Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation, in Medical Image Analysis (2019). link
python setup.py install --user
posce requires:
- nilearn