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Yacine Mahdid edited this page Oct 10, 2019
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[corrected_wpli] = wpli(eeg_data, number_surrogates, p_value)
and [corrected_dpli] = dpli(eeg_data, number_surrogates, p_value)
- eeg_data: a c*n matrix where c is the number of channels and n is the number of data points.
- number_surrogates: the number of surrogate wpli/dpli matrices to construct for significance detection.
- p_value: the p value at which one element in the wpli/dpli matrices is deemed significant.
- corrected_wpli: a c*c matrix where c is the number of channels. If a functional connection was deemed not significant it is set to 0 in wpli and 0.5 in dpli.