nilearn.maskers: Extracting Signals from Brain Images

The nilearn.maskers contains masker objects.

User guide: See the NiftiMasker: applying a mask to load time-series section for further details.

Classes

BaseMasker()

Base class for NiftiMaskers.

NiftiMasker([mask_img, runs, ...])

Applying a mask to extract time-series from Niimg-like objects.

MultiNiftiMasker([mask_img, smoothing_fwhm, ...])

Applying a mask to extract time-series from multiple Niimg-like objects.

NiftiLabelsMasker([labels_img, labels, ...])

Class for extracting data from Niimg-like objects using labels of non-overlapping brain regions.

MultiNiftiLabelsMasker([labels_img, labels, ...])

Class for extracting data from multiple Niimg-like objects using labels of non-overlapping brain regions.

NiftiMapsMasker([maps_img, mask_img, ...])

Class for extracting data from Niimg-like objects using maps of potentially overlapping brain regions.

MultiNiftiMapsMasker([maps_img, mask_img, ...])

Class for extracting data from multiple Niimg-like objects using maps of potentially overlapping brain regions.

NiftiSpheresMasker([seeds, radius, ...])

Class for masking of Niimg-like objects using seeds.

SurfaceLabelsMasker([labels_img, labels, ...])

Extract data from a SurfaceImage, averaging over atlas regions.

SurfaceMasker([mask_img, smoothing_fwhm, ...])

Extract data from a SurfaceImage.

SurfaceMapsMasker([maps_img, mask_img, ...])

Extract data from a SurfaceImage, using maps of potentially overlapping brain regions.