mne.minimum_norm.compute_source_psd_epochs¶

mne.minimum_norm.compute_source_psd_epochs(epochs, inverse_operator, lambda2=0.1111111111111111, method=’dSPM’, fmin=0.0, fmax=200.0, pick_ori=None, label=None, nave=1, pca=True, inv_split=None, bandwidth=4.0, adaptive=False, low_bias=True, return_generator=False, n_jobs=1, prepared=False, verbose=None)[source]¶

Compute source power spectrum density (PSD) from Epochs.

This uses the multi-taper method to compute the PSD.

Parameters:

epochs : instance of Epochs The raw data. inverse_operator : instance of InverseOperator The inverse operator. lambda2 : float The regularization parameter. method : “MNE” | “dSPM” | “sLORETA” Use mininum norm, dSPM or sLORETA. fmin : float The lower frequency of interest. fmax : float The upper frequency of interest. pick_ori : None | “normal” 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. label : Label Restricts the source estimates to a given label. nave : int The number of averages used to scale the noise covariance matrix. pca : bool If True, the true dimension of data is estimated before running the time-frequency transforms. It reduces the computation times e.g. with a dataset that was maxfiltered (true dim is 64). inv_split : int or None Split inverse operator into inv_split parts in order to save memory. bandwidth : float The bandwidth of the multi taper windowing function in Hz. adaptive : bool Use adaptive weights to combine the tapered spectra into PSD (slow, use n_jobs >> 1 to speed up computation). low_bias : bool Only use tapers with more than 90% spectral concentration within bandwidth. return_generator : bool Return a generator object instead of a list. This allows iterating over the stcs without having to keep them all in memory. n_jobs : int Number of parallel jobs to use (only used if adaptive=True). prepared : bool If True, do not call prepare_inverse_operator. verbose : bool, str, int, or None If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

stcs : list (or generator object) of SourceEstimate | VolSourceEstimate The source space PSDs for each epoch.

Examples using mne.minimum_norm.compute_source_psd_epochs¶

Compute Power Spectral Density of inverse solution from single epochs