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
  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)
    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.