mne.sensitivity_map#

mne.sensitivity_map(fwd, projs=None, ch_type='grad', mode='fixed', exclude=[], verbose=None)[source]#

Compute sensitivity map.

Such maps are used to know how much sources are visible by a type of sensor, and how much projections shadow some sources.

Parameters
fwdForward

The forward operator.

projslist

List of projection vectors.

ch_type‘grad’ | ‘mag’ | ‘eeg’

The type of sensors to use.

modestr

The type of sensitivity map computed. See manual. Should be ‘free’, ‘fixed’, ‘ratio’, ‘radiality’, ‘angle’, ‘remaining’, or ‘dampening’ corresponding to the argument –map 1, 2, 3, 4, 5, 6 and 7 of the command mne_sensitivity_map.

excludelist of str | str

List of channels to exclude. If empty do not exclude any (default). If ‘bads’, exclude channels in fwd[‘info’][‘bads’].

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
stcSourceEstimate | VolSourceEstimate

The sensitivity map as a SourceEstimate or VolSourceEstimate instance for visualization.

Examples using mne.sensitivity_map#

Head model and forward computation

Head model and forward computation

Head model and forward computation
Sensitivity map of SSP projections

Sensitivity map of SSP projections

Sensitivity map of SSP projections
Display sensitivity maps for EEG and MEG sensors

Display sensitivity maps for EEG and MEG sensors

Display sensitivity maps for EEG and MEG sensors
Use source space morphing

Use source space morphing

Use source space morphing