nilearn.regions: Operating on Regions

The nilearn.regions class module includes region extraction procedure on a 4D statistical/atlas maps and its function.

Classes

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

Class for brain region extraction.

Parcellations(method[, n_parcels, ...])

Learn parcellations on fMRI images.

ReNA([mask_img, n_clusters, scaling, ...])

Recursive Neighbor Agglomeration (ReNA).

HierarchicalKMeans([n_clusters, init, ...])

Hierarchical KMeans.

 
        classDiagram
  BaseEstimator <|-- BaseMasker
  BaseEstimator <|-- HierarchicalKMeans
  BaseEstimator <|-- ReNA
  BaseEstimator <|-- _BaseDecomposition
  BaseMasker <|-- NiftiMapsMasker
  CacheMixin <|-- BaseMasker
  CacheMixin <|-- _BaseDecomposition
  ClusterMixin <|-- HierarchicalKMeans
  ClusterMixin <|-- ReNA
  NiftiMapsMasker <|-- RegionExtractor
  TransformerMixin <|-- BaseMasker
  TransformerMixin <|-- HierarchicalKMeans
  TransformerMixin <|-- ReNA
  TransformerMixin <|-- _BaseDecomposition
  _BaseDecomposition <|-- _MultiPCA
  _HTMLDocumentationLinkMixin <|-- BaseEstimator
  _MetadataRequester <|-- BaseEstimator
  _MultiPCA <|-- Parcellations
  _SetOutputMixin <|-- TransformerMixin

Functions

connected_regions(maps_img[, ...])

Extract brain connected regions into separate regions.

connected_label_regions(labels_img[, ...])

Extract connected regions from a brain atlas image defined by labels (integers).

img_to_signals_labels(imgs, labels_img[, ...])

Extract region signals from image.

signals_to_img_labels(signals, labels_img[, ...])

Create image from region signals defined as labels.

img_to_signals_maps(imgs, maps_img[, ...])

Extract region signals from image.

signals_to_img_maps(region_signals, maps_img)

Create image from region signals defined as maps.

recursive_neighbor_agglomeration(X, ...[, ...])

Recursive neighbor agglomeration (ReNA).