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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.
Basic tutorials¶Introductory examples that teach how to use nilearn.
Visualization of brain images¶See Plotting brain images for more details.
Decoding and predicting from brain images¶See Decoding and MVPA: predicting from brain images for more details.
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.
GLM: First level analysis¶These are examples focused on showcasing first level models functionality and single subject analysis.
See Analyzing fMRI using GLMs for more details.
GLM: Second level analysis¶These are examples focused on showcasing second level models functionality and group level analysis.
See Analyzing fMRI using GLMs for more details.
Manipulating brain image volumes¶See Manipulating images: resampling, smoothing, masking, ROIs… for more details.
Advanced statistical analysis of brain images¶Gallery generated by Sphinx-Gallery
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