Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data

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...

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Main Authors: Haresign, Marriott I., Phillips, E. A. M., Whitehorn, M., Goupil, L., Noreika, V., Leong, Victoria, Wass, S. V.
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163090
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1630902023-03-05T15:31:42Z Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data Haresign, Marriott I. Phillips, E. A. M. Whitehorn, M. Goupil, L. Noreika, V. Leong, Victoria Wass, S. V. School of Social Sciences Social sciences::Psychology Entrainment Hyperscanning 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. Published version This research was funded by Project Grant RPG-2018-281 from the Leverhulme Trust, by an ERC Marie Curie Fellowship JDIL 845859 and by ERC grant number ONACSA 853251. 2022-11-21T05:15:14Z 2022-11-21T05:15:14Z 2022 Journal Article 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-. https://dx.doi.org/10.1016/j.dcn.2022.101093 1878-9293 https://hdl.handle.net/10356/163090 10.1016/j.dcn.2022.101093 35248820 2-s2.0-85125529256 54 101093 en Developmental Cognitive Neuroscience © 2022 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Psychology
Entrainment
Hyperscanning
spellingShingle Social sciences::Psychology
Entrainment
Hyperscanning
Haresign, Marriott I.
Phillips, E. A. M.
Whitehorn, M.
Goupil, L.
Noreika, V.
Leong, Victoria
Wass, S. V.
Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
description 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.
author2 School of Social Sciences
author_facet School of Social Sciences
Haresign, Marriott I.
Phillips, E. A. M.
Whitehorn, M.
Goupil, L.
Noreika, V.
Leong, Victoria
Wass, S. V.
format Article
author Haresign, Marriott I.
Phillips, E. A. M.
Whitehorn, M.
Goupil, L.
Noreika, V.
Leong, Victoria
Wass, S. V.
author_sort Haresign, Marriott I.
title Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
title_short Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
title_full Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
title_fullStr Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
title_full_unstemmed Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data
title_sort measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult eeg hyperscanning data
publishDate 2022
url https://hdl.handle.net/10356/163090
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