Objective: This paper highlights the facilitation of dyadic synchrony as a core
psychotherapist skill that occurs at the non-verbal level and underlies many other …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

The uses of mobile brain/body imaging (MoBI) are expanding and allow for more direct
study of the neurophysiological signals associated with behavior in psychotherapeutic …

We are all constantly going in and out of sync with the people we meet in our lives:
significant others, incidental encounters, and strangers. Synchrony is a ubiquitous …

When people interact, their behavior tends to become synchronized, a mutual coordination
process that fosters short-term adaptations, like increased a±liation, and long-term …

Interpersonal physiological synchrony (PS), or the similarity of physiological signals
between individuals over time, may be used to detect attentionally engaging moments in …

Joint decision-making can be seen as the synchronization of actions and emotions, usually
via nonverbal interaction between people while they show empathy. The aim of the current …

Background: Several algorithms have been proposed to quantify synchronization. However,
little is known about their convergent and predictive validity. Methods: The sample included …

Abstract Objective: The effectiveness of Imagery Rescripting (IR) has been demonstrated in
the treatment of various psychological disorders, but the mechanisms underlying it remain …

Measuring interpersonal synchrony is a promising approach to assess the complexity of
social interaction, which however has been mostly limited to dyads. In this study, we …