Gallery of Examples

Warning

If you want to run the examples, make sure you execute them in a directory where you have write permissions, or you copy the examples into such a directory. If you install nilearn manually, make sure you have followed the instructions.

Note

A few examples may not run with scikit-learn versions older than 0.14.1.

General examples

General-purpose and introductory examples for nilearn.

Basic numerics and plotting with Python

Basic nilearn example

Simple example of NiftiMasker use

Massively univariate analysis of a calculation task from the Localizer dataset

Simple example of decoding: the Haxby data

Functional connectivity

See Parcellating the brain in regions, Extracting resting-state networks with ICA or Extracting times series to build a functional connectome for more details.

Group analysis of resting-state fMRI with ICA: CanICA

Extracting signals of a probabilistic atlas of rest functional regions

Extracting signals from a brain parcellation

Extracting brain signal from spheres

Independent component analysis of resting-state fMRI

Connectivity structure estimation on simulated data

Computing a connectome with sparse inverse covariance

Ward clustering to learn a brain parcellation from rest fMRI

Group Sparse inverse covariance for multi-subject connectome

Decoding and predicting from brain images

See Decoding and MVPA: predicting from brain images for more details.