Psychophysiological Synchrony

Psychophysiological measures — heart rate, electrodermal activity, EEG, cortisol, and more — are increasingly collected from multiple people as they interact over time: across seconds and minutes within an experiment session, across days and weeks via ambulatory and wearable sensors, and across months and years in developmental and clinical studies. All these wonderful data provide rich opportunity to study change, variability, and many different types of coupling.

This workshop provides a practical introduction to methods for modeling psychophysiological synchrony that may manifest at multiple timescales. After reviewing some of the theoretical and design principles driving collection of dyadic and repeated-measures physiological data, we dive into the different ways synchrony is defined and operationalized. Presentations will include practical looks at the various time-series and dynamic systems approaches that are being used to characterize interpersonal synchrony within dyads (and also intrapersonal coupling across physiological channels within a person); critical evaluation of when and why they various measurement models and analytic models operationalize different notions of physiological synchrony; and hands-on analysis of 3 different types of synchrony.

The workshop will combine short lectures on background with example empirical analyses. Attendees will leave with template R code they can adapt to their own psychophysiological data, and a practical framework for deciding which models might be leveraged when (and maybe even why).

TopicLink
AMeasuring and Modeling Psychophysiological SynchronySession A Slides
BA Taxonomy of Change ProcessesSession B Slides
CWhat is Synchrony?Session C Slides
DData & TimescalesSession D Slides
EDyadic ModelsSession E Slides
FNon-Stationarity
8Windowed Cross-Correlation: Recovering a lead that movesTutorial
8Windowed Cross-Correlation: An IllustrationTutorial
9Coherence: Synchrony at a frequency, and synchrony at a frequency over timeTutorial
9Wavelet Coherence: An IllustrationTutorial

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