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Title: Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
Authors: Haresign, Marriott I.
Phillips, E. A. M.
Whitehorn, M.
Goupil, L.
Noreika, V.
Leong, Victoria
Wass, S. V.
Keywords: Social sciences::Psychology
Issue Date: 2022
Source: Haresign, M. I., Phillips, E. A. M., Whitehorn, M., Goupil, L., Noreika, V., Leong, V. & Wass, S. V. (2022). Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data. Developmental Cognitive Neuroscience, 54, 101093-.
Journal: Developmental Cognitive Neuroscience 
Abstract: Current approaches to analysing EEG hyperscanning data in the developmental literature typically consider interpersonal entrainment between interacting physiological systems as a time-invariant property. This approach obscures crucial information about how entrainment between interacting systems is established and maintained over time. Here, we describe methods, and present computational algorithms, that will allow researchers to address this gap in the literature. We focus on how two different approaches to measuring entrainment, namely concurrent (e.g., power correlations, phase locking) and sequential (e.g., Granger causality) measures, can be applied to three aspects of the brain signal: amplitude, power, and phase. We guide the reader through worked examples using simulated data on how to leverage these methods to measure changes in interbrain entrainment. For each, we aim to provide a detailed explanation of the interpretation and application of these analyses when studying neural entrainment during early social interactions.
ISSN: 1878-9293
DOI: 10.1016/j.dcn.2022.101093
Schools: School of Social Sciences 
Rights: © 2022 Published by Elsevier Ltd. This is an open access article under the CC BY license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SSS Journal Articles

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