Definition: Wavelet coherence is a method commonly used in hyperscanning studies to quantify the relationship between brain activity in two participants. Data for each participant is subject to a wavelet transform which provides a time-scale representation of that channel. The wavelet representations can then be related across participants to calculate the wavelet coherence. If stronger wavelet coherence is seen in true dyads compared to pseudo-dyads (when data from non-interactive participants is paired up), then there is a coherence effect. Definition: Wavelet coherence is a method commonly used in hyperscanning studies to quantify the relationship between brain activity in two participants. Data for each participant is subject to a wavelet transform which provides a time-scale representation of that channel. The wavelet representations can then be related across participants to calculate the wavelet coherence. If stronger wavelet coherence is seen in true dyads compared to pseudo-dyads (when data from non-interactive participants is paired up), then there is a coherence effect.
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References: https://doi.org/10.1016/j.neuroimage.2011.09.003
Related terms: Time-Frequency Analysis, Hyperscanning, Multiresolution Analysis