mne.viz.plot_dipole_locations#

mne.viz.plot_dipole_locations(dipoles, trans=None, subject=None, subjects_dir=None, mode='orthoview', coord_frame='mri', idx='gof', show_all=True, ax=None, block=False, show=True, scale=None, color=None, *, highlight_color='r', fig=None, title=None, head_source='seghead', surf='pial', width=None, verbose=None)[source]#

Plot dipole locations.

If mode is set to ‘arrow’ or ‘sphere’, only the location of the first time point of each dipole is shown else use the show_all parameter.

Parameters:
dipoleslist of instances of Dipole | Dipole

The dipoles to plot.

transdict | None

The mri to head trans. Can be None with mode set to ‘3d’.

subjectstrNone

The FreeSurfer subject name (will be used to set the FreeSurfer environment variable SUBJECT). Can be None with mode set to '3d'.

subjects_dirpath-like | None

The path to the directory containing the FreeSurfer subjects reconstructions. If None, defaults to the SUBJECTS_DIR environment variable.

modestr

Can be:

'arrow' or 'sphere'

Plot in 3D mode using PyVista with the given glyph type.

'orthoview'

Plot in matplotlib Axes3D using matplotlib with MRI slices shown on the sides of a cube, with the dipole(s) shown as arrows extending outward from a dot (i.e., the arrows pivot on the tail).

'outlines'

Plot in matplotlib Axes using a quiver of arrows for the dipoles in three axes (axial, coronal, and sagittal views), with the arrow pivoting in the middle of the arrow.

Changed in version 1.1: Added support for 'outlines'.

coord_framestr

Coordinate frame to use: ‘head’ or ‘mri’. Can also be ‘mri_rotated’ when mode equals 'outlines'. Defaults to ‘mri’.

New in version 0.14.0.

Changed in version 1.1: Added support for 'mri_rotated'.

idxint | ‘gof’ | ‘amplitude’

Index of the initially plotted dipole. Can also be ‘gof’ to plot the dipole with highest goodness of fit value or ‘amplitude’ to plot the dipole with the highest amplitude. The dipoles can also be browsed through using up/down arrow keys or mouse scroll. Defaults to ‘gof’. Only used if mode equals ‘orthoview’.

New in version 0.14.0.

show_allbool

Whether to always plot all the dipoles. If True (default), the active dipole is plotted as a red dot and its location determines the shown MRI slices. The non-active dipoles are plotted as small blue dots. If False, only the active dipole is plotted. Only used if mode='orthoview'.

New in version 0.14.0.

axinstance of matplotlib Axes3D | list of matplotlib Axes | None

Axes to plot into. If None (default), axes will be created. If mode equals 'orthoview', must be a single Axes3D. If mode equals 'outlines', must be a list of three Axes.

New in version 0.14.0.

blockbool

Whether to halt program execution until the figure is closed. Defaults to False. Only used if mode equals ‘orthoview’.

New in version 0.14.0.

showbool

Show figure if True. Defaults to True. Only used if mode equals ‘orthoview’.

scalefloat

The scale (size in meters) of the dipoles if mode is not 'orthoview'. The default is 0.03 when mode is 'outlines' and 0.005 otherwise.

colortuple

The color of the dipoles. The default (None) will use 'y' if mode is 'orthoview' and show_all is True, else ‘r’. Can also be a list of colors to use when mode is 'outlines'.

Changed in version 0.19.0: Color is now passed in orthoview mode.

highlight_colorcolor

The highlight color. Only used in orthoview mode with show_all=True.

New in version 0.19.0.

figinstance of Figure3D | None

3D figure in which to plot the alignment. If None, creates a new 600x600 pixel figure with black background. Only used when mode is 'arrow' or 'sphere'.

New in version 0.19.0.

titlestr | None

The title of the figure if mode='orthoview' (ignored for all other modes). If None, dipole number and its properties (amplitude, orientation etc.) will be shown. Defaults to None.

New in version 0.21.0.

head_sourcestr | list of str

Head source(s) to use. See the source option of mne.get_head_surf() for more information. Only used when mode equals 'outlines'.

New in version 1.1.

surfstr | None

Brain surface to show outlines for, can be 'white', 'pial', or None. Only used when mode is 'outlines'.

New in version 1.1.

widthfloat | None

Width of the matplotlib quiver arrow, see matplotlib.axes.Axes.quiver(). If None (default), when mode is 'outlines' 0.015 will be used, and when mode is 'orthoview' the matplotlib default is used.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:
figinstance of Figure3D or matplotlib.figure.Figure

The PyVista figure or matplotlib Figure.

Notes

New in version 0.9.0.

Examples using mne.viz.plot_dipole_locations#

The role of dipole orientations in distributed source localization

The role of dipole orientations in distributed source localization

Brainstorm Elekta phantom dataset tutorial

Brainstorm Elekta phantom dataset tutorial

4D Neuroimaging/BTi phantom dataset tutorial

4D Neuroimaging/BTi phantom dataset tutorial

Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method

Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Compute Rap-Music on evoked data

Compute Rap-Music on evoked data

Compute MxNE with time-frequency sparse prior

Compute MxNE with time-frequency sparse prior