Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_globalmeanfield”.

  FT_GLOBALMEANFIELD calculates global mean field amplitude or power of input data
 
  Use as
    [gmf] = ft_globalmeanfield(cfg, data)
 
  The data should be organised in a structure as obtained from the
  FT_TIMELOCKANALYSIS function. The configuration should be according to
  FT_PREPROCESSING function. The configuration should be according to
 
    cfg.method    = string, determines whether the amplitude or power should be calculated (see below, default is 'amplitude', can be 'power')
    cfg.channel   = Nx1 cell-array with selection of channels (default = 'all'),
                             see FT_CHANNELSELECTION for details
 
  This function calculates the global mean field power, or amplitude,
  as described in:
  Lehmann D, Skrandies W. Reference-free identification of components of
  checkerboard-evoked multichannel potential fields. Electroencephalogr Clin
  Neurophysiol. 1980 Jun;48(6):609-21. PubMed PMID: 6155251.
 
  Please note that to calculate what is clasically referred to as Global
  Mean Field Power, cfg.method must be 'amplitude'. The naming implies a
  squared measure but this is not the case.
 
  To facilitate data-handling and distributed computing you can use
    cfg.inputfile   =  ...
    cfg.outputfile  =  ...
  If you specify one of these (or both) the input data will be read from a *.mat
  file on disk and/or the output data will be written to a *.mat file. These mat
  files should contain only a single variable, corresponding with the
  input/output structure.
 
  See also FT_TIMELOCKANALYSIS