12/16/2023 0 Comments Anti phase coherence![]() ![]() However, advances in neuroimaging technology now allow for the examination of neural activation in the brains of one or more individuals during social interaction as it occurs in "real-life" settings 3. ![]() Traditionally, studies in social neuroscience have focused on neural activation in one isolated brain during a socially relevant task. In recent years, there has been a shift in the types of studies conducted to understand the neural bases of social behavior 1, 2. Using this novel WTC approach and the toolbox will advance our understanding of complex social interactions through their uses in fNIRS hyperscanning studies. The toolbox also allows researchers to assess how the dynamics of interactions develop and change throughout the task. The toolbox allows investigators to estimate the coupling directionality by classifying the phase angle values obtained using traditional WTC into in-phase synchronization, lagged synchronization, and anti-phase synchronization. To address this need, a complementary and more sensitive approach for analyzing the phase coherence of two neural signals is proposed in this work. The field is currently lacking a framework that allows researchers to determine whether a high coherence value obtained using a WTC function reflects in-phase synchronization (i.e., neural activation is seen in both members of the dyad at the same time), lagged synchronization (i.e., neural activation is seen in one member of the dyad prior to the other member), or anti-phase synchronization (i.e., neural activation is increased in one member of the dyad and decreased in the other). Despite the growing body of functional near-infrared spectroscopy (fNIRS) hyperscanning studies, the assessment of coupling between two neural signals using wavelet transform coherence (WTC) seems to ignore the directionality of the interaction. ![]()
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