FieldTrip

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

  FT_REJECTCONFOUND estimates the regression weight of a set of confounds
  (GLM) and removes the estimated contribution from the single-trial data
 
  Use as
   timelock = ft_rejectconfound(cfg, timelock)
  or
   freq = ft_rejectconfound(cfg, freq)
 
  where datain comes from FT_TIMELOCKANALYSIS or FT_FREQANALYSIS with
  keeptrials = 'yes' and cfg is a configuratioun structure that should
  contain
 
    cfg.confound    = matrix, [Ntrials X Nconfounds]
 
  The following configuration options are supported:
    cfg.reject      = vector, [1 X Nconfounds], listing the confounds that
                      are to be rejected (default = 'all')
    cfg.normalize   = string, 'yes' or 'no', normalization to
                      make the confounds orthogonal (default = 'yes')
    cfg.statistics  = string, 'yes' or 'no', whether to add the statistics
                      to the output (default = 'no')
    cfg.model       = string, 'yes' or 'no', whether to add the model to
                      the output (default = 'no')
 
  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_REJECTCOMPONENT, FT_REJECTARTIFACT