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mne.minimum_norm.apply_inverse_epochs#

mne.minimum_norm.apply_inverse_epochs(epochs, inverse_operator, lambda2, method='dSPM', label=None, nave=1, pick_ori=None, return_generator=False, prepared=False, method_params=None, use_cps=True, verbose=None)[source]#

Apply inverse operator to Epochs.

Parameters:
epochsEpochs object

Single trial epochs.

inverse_operatordict

Inverse operator.

lambda2float

The regularization parameter.

method“MNE” | “dSPM” | “sLORETA” | “eLORETA”

Use minimum norm, dSPM (default), sLORETA, or eLORETA.

labelLabel | None

Restricts the source estimates to a given label. If None, source estimates will be computed for the entire source space.

naveint

Number of averages used to regularize the solution. Set to 1 on single Epoch by default.

pick_oriNone | “normal” | “vector”

Options:

  • None

    Pooling is performed by taking the norm of loose/free orientations. In case of a fixed source space no norm is computed leading to signed source activity.

  • "normal"

    Only the normal to the cortical surface is kept. This is only implemented when working with loose orientations.

  • "vector"

    No pooling of the orientations is done, and the vector result will be returned in the form of a mne.VectorSourceEstimate object.

return_generatorbool

Return a generator object instead of a list. This allows iterating over the stcs without having to keep them all in memory.

preparedbool

If True, do not call prepare_inverse_operator().

method_paramsdict | None

Additional options for eLORETA. See Notes of apply_inverse().

New in version 0.16.

use_cpsbool

Whether to use cortical patch statistics to define normal orientations for surfaces (default True).

Only used when the inverse is free orientation (loose=1.), not in surface orientation, and pick_ori='normal'.

New in version 0.20.

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:
stcslist of (SourceEstimate | VectorSourceEstimate | VolSourceEstimate)

The source estimates for all epochs.

See also

apply_inverse_raw

Apply inverse operator to raw object.

apply_inverse

Apply inverse operator to evoked object.

apply_inverse_tfr_epochs

Apply inverse operator to epochs tfr object.

apply_inverse_cov

Apply inverse operator to a covariance object.

Examples using mne.minimum_norm.apply_inverse_epochs#

Decoding source space data

Decoding source space data

Decoding source space data
Compute MNE-dSPM inverse solution on single epochs

Compute MNE-dSPM inverse solution on single epochs

Compute MNE-dSPM inverse solution on single epochs
Computing source timecourses with an XFit-like multi-dipole model

Computing source timecourses with an XFit-like multi-dipole model

Computing source timecourses with an XFit-like multi-dipole model
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