Determination of EEG activity propagation: pair-wise versus multichannel estimate

By Rafal Kus, Maciej Kaminski, Katarzyna J. Blinowska. IEEE Transactions on Biomedical Engineering, 2004

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Electrophysiological Imaging of Brain Activity and Connectivity – Challenges and Opportunities (2011, background): “A shortcoming of bivariate causality, however, is that the estimation of the connectivity is limited to pairwise systems and may incorrectly estimate the causal interactions in a multivariate setting [97].”
Graph analysis of functional brain networks: practical issues in translational neuroscience (2014, background): “More generally, it can be argued that false small-worldness can also emerge when using bivariate FC methods (see Section 4), as they do not distinguish between direct and indirect signal influences and can lead to spurious links [137], thus favoring clustering increases.”
Nonlinear multivariate analysis of neurophysiological signals. (2005, methodology): “As a result, a different and maybe erroneous network pattern can be obtained if pairwise analysis is performed as opposed to a genuine multichannel method of correlation analysis (Kus et al., 2004).”