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.