Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

nilearn.plotting.find_xyz_cut_coords#

nilearn.plotting.find_xyz_cut_coords(img, mask_img=None, activation_threshold=None)[source]#

Find the center of the largest activation connected component.

Parameters:
img3D Nifti1Image

The brain map.

mask_img3D Nifti1Image, optional

An optional brain mask, provided mask_img should not be empty.

activation_thresholdfloat, optional

The lower threshold to the positive activation. If None, the activation threshold is computed using the 80% percentile of the absolute value of the map.

Returns:
xfloat

The x world coordinate.

yfloat

The y world coordinate.

zfloat

The z world coordinate.

Examples using nilearn.plotting.find_xyz_cut_coords#

Regions extraction using dictionary learning and functional connectomes

Regions extraction using dictionary learning and functional connectomes

Regions extraction using dictionary learning and functional connectomes
Regions Extraction of Default Mode Networks using Smith Atlas

Regions Extraction of Default Mode Networks using Smith Atlas

Regions Extraction of Default Mode Networks using Smith Atlas