FT_CONNECTIVITY_WPLI
Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_connectivity_wpli”.
FT_CONNECTIVITY_WPLI computes the weighted phase lag index from a data matrix containing the cross-spectral density. This implements the method described in Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CM. An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage. 2011 Apr 15;55(4):1548-65. Use as [wpi, v, n] = ft_connectivity_wpli(input, ...) The input data input should be organized as: Repetitions x Channel x Channel (x Frequency) (x Time) or Repetitions x Channelcombination (x Frequency) (x Time) The first dimension should contain repetitions and should not contain an average already. Also, it should not consist of leave one out averages. Additional optional input arguments come as key-value pairs: dojack = 1 or 0, compute a variance estimate, based on leave-one-out feedback = 'none', 'text', 'textbar' type of feedback showing progress of computation debias = 1 (or true) or 0 (or false), compute debiased wpli or not The output wpli contains the wpli, v is a leave-one-out variance estimate which is only computed if dojack = 1,and n is the number of repetitions in the input data. See also FT_CONNECTIVITYANALYSIS