FT_MEGPLANAR
Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_megplanar”.
FT_MEGPLANAR computes planar MEG gradients gradients for raw data or average event-related field data. It can also convert frequency-domain data that was computed using FT_FREQANALYSIS, as long as it contains the complex-valued fourierspcrm and not only the powspctrm. Use as [interp] = ft_megplanar(cfg, data) where the input data corresponds to the output from FT_PREPROCESSING, FT_TIMELOCKANALYSIS or FT_FREQANALYSIS (with output='fourierspcrm'). The configuration should contain cfg.planarmethod = string, can be 'sincos', 'orig', 'fitplane', 'sourceproject' (default = 'sincos') cfg.channel = Nx1 cell-array with selection of channels (default = 'MEG'), see FT_CHANNELSELECTION for details cfg.trials = 'all' or a selection given as a 1xN vector (default = 'all') The methods orig, sincos and fitplane are all based on a neighbourhood interpolation. For these methods you need to specify cfg.neighbours = neighbourhood structure, see FT_PREPARE_NEIGHBOURS In the 'sourceproject' method a minumum current estimate is done using a large number of dipoles that are placed in the upper layer of the brain surface, followed by a forward computation towards a planar gradiometer array. This requires the specification of a volume conduction model of the head and of a source model. The 'sourceproject' method is not supported for frequency domain data. A dipole layer representing the brain surface must be specified with cfg.inwardshift = depth of the source layer relative to the head model surface (default = 2.5 cm, which is appropriate for a skin-based head model) cfg.spheremesh = number of dipoles in the source layer (default = 642) cfg.pruneratio = for singular values, default is 1e-3 cfg.headshape = a filename containing headshape, a structure containing a single triangulated boundary, or a Nx3 matrix with surface points If no headshape is specified, the dipole layer will be based on the inner compartment of the volume conduction model. The volume conduction model of the head should be specified as cfg.headmodel = structure with volume conduction model, see FT_PREPARE_HEADMODEL The following cfg fields are optional: cfg.feedback 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_COMBINEPLANAR, FT_NEIGHBOURSELECTION