|Feature(s):||Neuroimaging visualization, Neuroimaging analysis|
The tool for download and documentation is available from:
It is developed from:
The package is also available from PyPI.
The package contains a range of submodules for data sets downloading, "decoding", matrix decomposition, image manipulations, loading, masking, mass-univariate analysis, neuroimaging visualization and time series analysis.
The downloading module may download a range of data sets and human brain atlases, e.g.:
- Harvard-Oxford Atlas
- Craddock 2011 Atlas from A whole brain fMRI atlas generated via spatially constrained spectral clustering
- From Correspondence of the brain's functional architecture during activation and rest and Behavioral interpretations of intrinsic connectivity networks
Getting data (from https://nilearn.github.io/building_blocks/manipulating_mr_images.html):
>>> from nilearn import datasets >>> haxby_files = datasets.fetch_haxby(n_subjects=1)
Data is downloaded to the nilearn_data subdirectory.