mne.minimum_norm.cross_talk_function¶

mne.minimum_norm.
cross_talk_function
(inverse_operator, forward, labels, method='dSPM', lambda2=0.1111111111111111, signed=False, mode='mean', n_svd_comp=1, use_cps=True, verbose=None)[source]¶ Compute crosstalk functions (CTFs) for linear estimators.
Compute crosstalk functions (CTF) in labels for a combination of inverse operator and forward solution. CTFs are computed for test sources that are perpendicular to cortical surface.
 Parameters
 inverse_operatorinstance of
InverseOperator
Inverse operator.
 forward
dict
Forward solution. Note: (Bad) channels not included in forward solution will not be used in CTF computation.
 labels
list
ofLabel
Labels for which CTFs shall be computed.
 method‘MNE’  ‘dSPM’  ‘sLORETA’  ‘eLORETA’
Inverse method for which CTFs shall be computed.
 lambda2
float
The regularization parameter.
 signedbool
If True, CTFs will be written as signed source estimates. If False, absolute (unsigned) values will be written
 mode‘mean’  ‘sum’  ‘svd’
CTFs can be computed for different summary measures with labels: ‘sum’ or ‘mean’: sum or means of subinverses for labels This corresponds to situations where labels can be assumed to be homogeneously activated. ‘svd’: SVD components of subinverses for labels This is better suited for situations where activation patterns are assumed to be more variable. “subinverse” is the part of the inverse matrix that belongs to vertices within individual labels.
 n_svd_comp
int
Number of SVD components for which CTFs will be computed and output (irrelevant for ‘sum’ and ‘mean’). Explained variances within subinverses are shown in screen output.
 use_cps
None
 bool (defaultTrue
) Whether to use cortical patch statistics to define normal orientations. Only used when surf_ori and/or force_fixed are True.
 verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
 inverse_operatorinstance of
 Returns
 stc_ctf
SourceEstimate
The CTFs for the specified labels. If mode=’svd’: n_svd_comp components per label are created (i.e. n_svd_comp successive time points in mne_analyze) The last sample is the summed CTF across all labels.
 stc_ctf