FT_SOURCEDESCRIPTIVES
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 = 'chan_dip', 'chan', 'dip', 'none' (default) 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.keepcsd = 'yes' or 'no' (default = 'no') cfg.keepnoisecsd = 'yes' or 'no' (default = 'no') cfg.keepmom = 'yes' or 'no' (default = 'yes') cfg.keepnoisemom = 'yes' or 'no' (default = 'yes') cfg.resolutionmatrix = 'yes' or 'no' (default = 'no') cfg.feedback = 'no', 'text' (default), 'textbar', 'gui' The following option only applies to LCMV single-trial timecourses. cfg.fixedori = 'within_trials' or 'over_trials' (default = 'over_trials') 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 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_SOURCEANALYSIS, FT_SOURCESTATISTICS, FT_MATH