Functional connectivity

See Clustering to parcellate the brain in regions, Extracting functional brain networks: ICA and related or Extracting times series to build a functional connectome for more details.

Computing a connectome with sparse inverse covariance

Computing a connectome with sparse inverse covariance

Extracting signals of a probabilistic atlas of functional regions

Extracting signals of a probabilistic atlas of functional regions

Connectivity structure estimation on simulated data

Connectivity structure estimation on simulated data

Group Sparse inverse covariance for multi-subject connectome

Group Sparse inverse covariance for multi-subject connectome

Producing single subject maps of seed-to-voxel correlation

Producing single subject maps of seed-to-voxel correlation

Deriving spatial maps from group fMRI data using ICA and Dictionary Learning

Deriving spatial maps from group fMRI data using ICA and Dictionary Learning

Regions extraction using dictionary learning and functional connectomes

Regions extraction using dictionary learning and functional connectomes

Comparing connectomes on different reference atlases

Comparing connectomes on different reference atlases

Classification of age groups using functional connectivity

Classification of age groups using functional connectivity

Extracting signals from a brain parcellation

Extracting signals from a brain parcellation

Extract signals on spheres and plot a connectome

Extract signals on spheres and plot a connectome

Clustering methods to learn a brain parcellation from fMRI

Clustering methods to learn a brain parcellation from fMRI