FieldTrip

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

  FT_NETWORKANALYSIS computes various network graph measures from
  between-channel or between source-level EEG/MEG signals. This function
  acts as a wrapper aroun the network metrics implemented in the brain
  connectivity toolbox developed by Olaf Sporns and colleagues.
 
  Use as
    stat = ft_networkanalysis(cfg, data)
 
  where the first input argument is a configuration structure (see below)
  and the second argument is the output of FT_CONNECTIVITYANALYSIS.
 
  At present the input data should be channel-level data with dimord
  'chan_chan(_freq)(_time)' or source data with dimord
  'pos_pos(_freq)(_time)'.
 
  The configuration structure has to contain
    cfg.method    = string, specifying the graph measure that will be
                    computed. See below for a list of supported measures. 
    cfg.parameter = string specifying the bivariate parameter in the data 
                    for which the graph measure will be computed.
 
  Supported methods are:
    assortatitivity, betweenness, clustering_coef, degrees
 
  To facilitate data-handling and distributed computing with the
  peer-to-peer module, this function has the following options:
    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_CONNECTIVITYANALYSIS, FT_CONNECTIVITYPLOT