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, 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”: If “normal”, rather than pooling the orientations by taking the norm, only the radial component is kept. This is only implemented when working with loose orientations. If “vector”, no pooling of the orientations is done and the vector result will be returned in the form of a mne.VectorSourceEstimate object. This does not work when using an inverse operator with fixed orientations.
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.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns

stclist of (SourceEstimate | VectorSourceEstimate | VolSourceEstimate): The source estimates for all epochs.

Examples using `mne.minimum_norm.apply_inverse_epochs`¶

Decoding source space data¶

Compute mixed source space connectivity and visualize it using a circular graph¶

Compute coherence in source space using a MNE inverse solution¶

Compute full spectrum source space connectivity between labels¶

Compute envelope correlations in source space¶

Compute source space connectivity and visualize it using a circular graph¶

Compute Phase Slope Index (PSI) in source space for a visual stimulus¶

Compute MNE-dSPM inverse solution on single epochs¶

mne.minimum_norm.apply_inverse_epochs¶

Examples using mne.minimum_norm.apply_inverse_epochs¶

Examples using `mne.minimum_norm.apply_inverse_epochs`¶