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

  FT_LATERALIZEDPOTENTIAL computes lateralized potentials such as the
  lateralized readiness potential (LRP)
  Use as
    [lrp] = ft_lateralizedpotential(cfg, avgL, avgR)
  where the input datasets should come from FT_TIMELOCKANALYSIS
  and the configuration should contain
    cfg.channelcmb = Nx2 cell array
  An example channelcombination containing the homologous channels
  in the 10-20 standard system is
     cfg.channelcmb = {'Fp1'   'Fp2'
                       'F7'    'F8'
                       'F3'    'F4'
                       'T7'    'T8'
                       'C3'    'C4'
                       'P7'    'P8'
                       'P3'    'P4'
                       'O1'    'O2'}
  The lateralized potential is computed on combinations of channels and
  not on indivudual channels. However, if you want to make a topographic
  plot with e.g. FT_MULTIPLOTER, you can replace the output lrp.label
  with lrp.plotlabel.
  The concept for the LRP was introduced approximately simultaneously in the
  following two papers
  - M. G. H. Coles. Modern mind-brain reading - psychophysiology,
    physiology, and cognition. Psychophysiology, 26(3):251-269, 1988.
  - R. de Jong, M. Wierda, G. Mulder, and L. J. Mulder. Use of
    partial stimulus information in response processing. J Exp Psychol
    Hum Percept Perform, 14:682-692, 1988.
  and it is discussed in detail on a technical level in
  - R. Oostenveld, D.F. Stegeman, P. Praamstra and A. van Oosterom.
    Brain symmetry and topographic analysis of lateralized event-related
    potentials. Clin Neurophysiol. 114(7):1194-202, 2003.
  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.