FieldTrip

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

  FT_SOURCEDESCRIPTIVES computes descriptive parameters of the source
  analysis results.
 
  Use as
    [source] = ft_sourcedescriptives(cfg, source)
 
  where cfg is a structure with the configuration details and source is the
  result from a beamformer source estimation. The configuration can contain
    cfg.cohmethod        = 'regular', 'lambda1', 'canonical'
    cfg.powmethod        = 'regular', 'lambda1', 'trace', 'none'
    cfg.supmethod        = string
    cfg.projectmom       = 'yes' or 'no' (default = 'no')
    cfg.eta              = 'yes' or 'no' (default = 'no')
    cfg.kurtosis         = 'yes' or 'no' (default = 'no')
    cfg.keeptrials       = 'yes' or 'no' (default = 'no')
    cfg.resolutionmatrix = 'yes' or 'no' (default = 'no')
    cfg.feedback         = 'no', 'text', 'textbar', 'gui' (default = 'text')
 
  The following option only applies to LCMV single-trial timecourses.
    cfg.fixedori         = 'within_trials' or 'over_trials' (default = 'over_trials')
 
  You can apply a custom mathematical transformation such as a log-transform
  on the estimated power using
    cfg.transform  = string describing the transformation (default is [])
  The nai, i.e. neural activity index (power divided by projected noise),
  is computed prior to applying the optional transformation.  Subsequently,
  the transformation is applied on the power and on the projected noise
  using "feval". A useful transformation is for example 'log' or 'log10'.
 
  If repeated trials are present that have undergone some sort of
  resampling (i.e. jackknife, bootstrap, singletrial or rawtrial), the mean,
  variance and standard error of mean will be computed for all source
  parameters. This is done after applying the optional transformation
  on the power and projected noise.
 
  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_SOURCEANALYSIS, FT_SOURCESTATISTICS