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Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data.
Marriott Haresign, I; Phillips, E A M; Whitehorn, M; Goupil, L; Noreika, V; Leong, V; Wass, S V.
Afiliação
  • Marriott Haresign I; University of East London, London, UK. Electronic address: u1434978@uel.ac.uk.
  • Phillips EAM; University of East London, London, UK.
  • Whitehorn M; University of East London, London, UK.
  • Goupil L; University of East London, London, UK.
  • Noreika V; Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
  • Leong V; Department of Experimental Psychology, University of Cambridge, Cambridge, UK; School of Social Sciences, Nanyang Technological University, Singapore.
  • Wass SV; University of East London, London, UK.
Dev Cogn Neurosci ; 54: 101093, 2022 04.
Article em En | MEDLINE | ID: mdl-35248820
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Eletroencefalografia Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Eletroencefalografia Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article