mne.read_source_spaces#

mne.read_source_spaces(fname, patch_stats=False, verbose=None)[source]#

Read the source spaces from a FIF file.

Parameters:

fnamepath-like: The name of the file, which should end with -src.fif or -src.fif.gz.
patch_statsbool, optional (default False): Calculate and add cortical patch statistics to the surfaces.
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:

srcSourceSpaces: The source spaces.

See also

write_source_spaces, setup_source_space, setup_volume_source_space

Examples using `mne.read_source_spaces`#

Source alignment and coordinate frames

Source alignment and coordinate frames

EEG forward operator with a template MRI

EEG forward operator with a template MRI

How MNE uses FreeSurfer’s outputs

How MNE uses FreeSurfer's outputs

Source reconstruction using an LCMV beamformer

Source reconstruction using an LCMV beamformer

Permutation t-test on source data with spatio-temporal clustering

Permutation t-test on source data with spatio-temporal clustering

2 samples permutation test on source data with spatio-temporal clustering

2 samples permutation test on source data with spatio-temporal clustering

Repeated measures ANOVA on source data with spatio-temporal clustering

Repeated measures ANOVA on source data with spatio-temporal clustering

Working with sEEG data

Working with sEEG data

Working with ECoG data

Working with ECoG data

Use source space morphing

Use source space morphing

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Morph surface source estimate

Morph surface source estimate

Morph volumetric source estimate

Morph volumetric source estimate