FT_CONNECTIVITY_MIM
Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_connectivity_mim”.
FT_CONNECTIVITY_MIM computes the multivariate interaction measure from a data-matrix containing the cross-spectral density. This implements the method described in Ewald et al., Estimating true brain connectivity from EEG/MEG data invariant to linear and static trasformations in sensor space. Neuroimage, 2012; 476:488. Use as [m] = hcp_connectivity_mim(input, ...) The input data should be an array organized as Channel x Channel x Frequency Additional optional input arguments come as key-value pairs: indices = 1xN vector with indices of the groups to which the channels belong, e.g. [1 1 2 2] for a 2-by-2 connectivity between planar MEG channels. The output m contains the Channel*Channel connectivity measure. See also FT_CONNECTIVITYANALYSIS