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. Author manuscript; available in PMC: 2010 May 15.
Published in final edited form as: Neuroimage. 2009 Feb 3;46(1):123–132. doi: 10.1016/j.neuroimage.2009.01.034

Fig. 1.

Fig. 1

Comparison of the phase locking value (PLV) computation with the biphase locking value (bPLV) computation. The PLV measures the correlation between the phases of two signals at the same frequency f. The bPLV measures the correlation between the phases of three signals at three different frequencies f1,f2, and f3 that are related by f1 + f2 = f3. (a) PLV Step 1. The phase of the signal Xi(t),ϕXi(f,t) (shown by blue arrows) and the phase of the signal Yi (t), ϕiY (f, t) (shown by red arrows) are extracted from the data for each single trial i at frequency f. (b) PLV Step 2. The phase difference Δ2i=ϕXi(f,t)ϕYi(f,t) is then computed for each trial i. (c) PLV Step 3. The PLV is computed as the mean of the single trial phase differences Δ2=Δ2i. The single trial phase differences are shown by grey arrows and their mean is shown by the black arrow. (d) bPLV Step 1. The phase of signal Xi(t),ϕXi(f1,t) (shown by blue arrows), the phase of signal Yi(t),ϕYi(f2,t) (shown by green arrows), and the phase of signal Zi(t),ϕZi(f3,t) (shown by red arrows) are extracted from the data for each single trial i. (e) bPLV Step 2. The phase difference Δ3i=ϕXi(f1,t)+ϕYi(f2,t)ϕZi(f3,t) is then computed for each trial i. (f) bPLV Step 3. The bPLV is computed as the mean of the single trial phase differences Δ3=Δ3i. The single trial phase differences are shown by grey arrows and their mean is shown by the black arrow.