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 — reference:ft_connectivity_pdc [2018/08/23 14:43] (current) Line 1: Line 1: + =====  FT_CONNECTIVITY_PDC ===== + + Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_connectivity_pdc"​. + + <​html><​pre>​ + <​font color=green>​FT_CONNECTIVITY_PDC​ computes partial directed coherence. This function implements + the metrices described in Baccala et al., Biological Cybernetics 2001, 84(6), + 463-74. and in Baccala et al., 15th Int.Conf.on DSP 2007, 163-66. + + The implemented algorithm has been tested against the implementation in the + SIFT-toolbox. It yields numerically identical results to what is known there as + '​nPDC'​ (for PDC) and '​GPDC'​ for generalized pdc. + + Use as + [p, v, n] = ft_connectivity_pdc(h,​ key1, value1, ...) + + The input argument H should be a spectral transfer matrix organized as + Nrpt x Nchan x Nchan x Nfreq (x Ntime), + where Nrpt can be 1. + + Additional optional input arguments come as key-value pairs: + '​hasjack' ​ = 0 (default) is a boolean specifying whether the input + ​contains leave-one-outs,​ required for correct variance + ​estimate + '​feedback'​ = string, determining verbosity (default = '​none'​),​ see <​font color=green>​FT_PROGRESS​ + '​invfun' ​  = '​inv'​ (default) or '​pinv',​ the function used to invert the + ​transfer matrix to obtain the fourier transform of the + MVAR coefficients. Use '​pinv'​ if the data are + ​poorly-conditioned. + '​noisecov'​ = matrix containing the covariance of the residuals of the + MVAR model. If this matrix is defined, the function + ​returns the generalized partial directed coherence. + + Output arguments: + p = partial directed coherence matrix Nchan x Nchan x Nfreq (x Ntime). + If multiple observations in the input, the average is returned. + v = variance of p across observations. + n = number of observations. + + Typically, nrpt should be 1 (where the spectral transfer matrix is + computed across observations. When nrpt&​gt;​1 and hasjack is true the input + is assumed to contain the leave-one-out estimates of H, thus a more + reliable estimate of the relevant quantities. + + See also <​font color=green>​FT_CONNECTIVITYANALYSIS​ +